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Correct color not being inherited. Correct font properties not being inherited. Avoid the WebKit bug in Android 4. Remove padding so people aren't caught out if they zero out fieldsets. How much sooner would eka-aluminum and other new elements have been isolated had Mendeleev had such tools at his fingertips?

Pop is an excellent teacher because of his organization and he really makes an attempt to ensure that the students learn. I would like to mention that my undergraduate professor for Algorithms was Dr. Andonie who also was an excellent instructor. I think that going forward the school should first consider Roumanian instructors for the algorithms course. I think the Roumanians were some of the best instructors I encountered in Computer Science. His suggestions were a source of inspiration for me and my study.

A series of discussions between my advisor, Dr. Bill William Grosky, Dr. Pop, and myself helped me prepare for and complete the research detailed in this dissertation. I would like to thank all my professors at UBB and especially Prof.

Lehel Csato my supervisor and Prof. In the end I can say that studying at the Faculty of Mathematics and Informatics was academically a very enriching experience. Details About the Thesis Usually, we understand the classification as a partitioning of some collection of objects in disjoint subsets or classes, the objects from a class having common proprieties that make them different from the members of other classes.

A fuzzy clustering is a generalization of this by the fact that the classes are not subsets of the collection, but fuzzy subsets similar with those defined by L. In other words, the classes are mappings that gives each object a number between 0 and 1, named membership of the object to that class.

Similar objects are identified by the fact that they have high memberships to the same class. We suppose that the memberships are chosen so that the sum of these for each point should be 1. In this sense, the fuzzy clustering is, also, a partitioning of a set of objects. A fuzzy clustering algorithm is a "recipe" to produce a fuzzy clustering.

The basis for building these algorithms are a quantitative measure of the similarity between objects and the criteria to relate the similarity with the membership degree. The criteria are often specified as functions of membership degrees, whose minimum or maximum define "good" classification. The algorithm becomes a numerical procedure for finding those membership degrees that optimizes the objective function. The present work aims to approach the problem of the prototypes in fuzzy clustering.

The first chapter presents fundamental theoretical notions from the theory of fuzzy sets, notions absolutely necessary to be able to read the paper in good conditions. The second chapter presents the problem of the hierarchical fuzzy clustering algorithms, with the particularities related to the use of different types of prototypes.

Here are presented the fuzzy hierarchical clustering with spherical and linear prototypes, and then some generalizations, namely clustering using ellipsoidal prototypes, adaptive prototypes and a non-metric clustering method using classical sets prototypes. The third chapter presents the computer programs that implement the presented algorithms, details that are necessary in order to understand how these programs work.

The programs presented here perform the following tasks: The fourth chapter presents a series of conclusions related to the use of the presented prototypes.

The paper contains two appendices, one with the sources of the programs and the other with the most interesting results obtained by me at the clustering of different sets of points chosen didactically. Selected References James C. Watson, Detection and characterization of cluster substructure, SIAM Journal on Applied Mathematics 40, 2D. Dumitrescu, Hierarchical pattern classification, Fuzzy Sets and Systems, 28D.

Dumitrescu, Classification Theory RomanianBabes-Bolyai University of Cluj-Napoca, D. Pop, A bibliography for fuzzy clustering and related fields, Studia Universitatis Babes-Bolyai, Series Math.

Pop, Hierarchical fuzzy clustering with adaptive prototypes, National Students Conference on Computer Science, Iasi, April Michael P. Windham, Geometrical Fuzzy Clustering Algorithms, Preprint, Utah State University, Lotfi A.

Zadeh, Fuzzy sets, Information and Control, 8W. A Unified Approach, Englewood Cliffs, NJ, Prentice Hall, Probleme propuse Pascal Programming. Editura Promedia Plus, Cluj-Napoca, Editura Albastra, Cluj-Napoca, Editura Mediamira, Cluj-Napoca, Chapter 11, Internet si accesul la informatie Internet and the access to informationpp. Editura Tehnica, Bucuresti, Editura Dacia, Cluj-Napoca, Abordari Bazate pe Agenti Inteligenti Artificial Intelligence Techniques.

Fuzzy soft-computing methods and their applications in chemistry. VCH Publishers, New York,pp. Cluj University Press, A fuzzy divisive hierarchical-clustering algorithm for the optimal choice of sets of solvent systems. Importance-Performance Analysis by Fuzzy C-Means Algorithm. ISI Web of Knowledge. The Unix environment at the Babes-Bolyai University. A study of roman pottery terra sigillata using hierarchical fuzzy clustering.

A new chemical clustering analysis method based on genetic evolution algorithm. Classification of high-temperature superconducting YBCO thin films by fuzzy clustering. Degenerate and nondegenerate convex decomposition of finite fuzzy partitions. Methodology, systems, applications am ramsay ed. Divergence measures and aggregation operations. Linear intensification of probabilistic fuzzy partitions. Inverse regression methods based on fuzzy partitions. I-fuzzy equivalence relations and i-fuzzy partitions.

A fuzzy cross-classification of the chemical elements, based on their physical, chemical, and structural features. Clustering files of chemical structures using the fuzzy k-means clustering method.

A fuzzy classification of the chemical elements. Pattern recognition approaches in biomedical and clinical magnetic resonance spectroscopy: Analysis of concomitant mechanisms in stroke pathogenesis usingfuzzy clustering techniques.

Study of stroke pathogenesis using possibility theory and hierarchical fuzzy clustering techniques. Analysis of stroke pathogenesis using hierarchical fuzzy clustering techniques. Chapter Fuzzy Logic Strategies for the Treatment of the Molecular Recognition Problem. World Scientific Pub Co Inc, Application of Artificial Neural Networks in Pharmacokinetics. An approach for interpreting thermogravimetric profiles using artificial intelligence.

Importance-performance Analysis by Fuzzy C-Means algorithm. A new fuzzy regression algorithm. Fuzzy regression in fisheries science: Some methods and applications. Calibration of chemical measurements. On quality of analytical information. PhD thesis, Faculty of Building Engineering, Techninal University of Cluj-Napoca, Cluj-Napoca, Romania, Robust regression techniques - A useful alternative for the detection of outlier data in chemical analysis.

Capability of detection and three-way data. Neural networks approach for determining total claim amounts in insurance. A robust moving average iterative weighting method to analyze the effect of outliers on the response surface design. Robust fuzzy regression analysis. Sediment Pollution Assessment by Chemometric Methods.

The Evaluation of the Lipophilic Properties of Some Thiazolyl-Oxadiazolines With Antiinflammatory Activity. Damage detection using robust fuzzy principal component analysis. Neural network based identification of meat spoilage using fourier-transform infrared spectra. Neural network based identification of meat spoilage using Fourier-transform infrared spectra. Parameter estimation by fuzzy adaptive networks and comparison with robust regression methods.

The fuzzy hierarchical cross-clustering algorithm. Improvements and comparative study. Development of compound clustering techniques using hybrid soft-computing algorithms. Fuzzy logic for chemoinformatics - a review.

Hesitant Fuzzy Sets Theory. Hierarchical hesitant fuzzy K-means clustering algorithm. Degenerate and non-degenerate convex decomposition of finite fuzzy partitions ii. On the solution of the fuzzy c-means model. Conference On Machine Learning Cybernetics, VolsProc. LATEX 2e, Technical Publishing Co. Alexandru Ioan Cuza University Press, Iasi, Romania, An experiment in incremental parsing using weighted constraints.

A Theoretical Basis of an Architecture of a Shell of a Reasonably Robust Syntactic Analyser. SuperARVs, Language Modeling, and Parsing. MIT Press, Cambridge, London,ch. Fuzzy clustering analysis of the first 10 MEIC chemicals. In Natural Computation, Pt 2, Proc. Assessment of Cs and Pu,Pu Distribution in Forest Soils of the Opole anomaly. Recognition of chemical compounds in contaminated water using time-dependent multiple dose cellular responses.

Algorithm of object identification in qualitative chemical analysis based on fuzzy similarity criteria. Structural analysis of transition metal beta-X substituent interactions. Toward the use of soft computing methods for catalyst modeling. Application of machine-learning methods to solid-state chemistry: Combinatorial Search for Low-Temperature Combustion Catalysts. Machine-learning models for combinatorial catalyst discovery. In silico design in homogeneous catalysis using descriptor modelling.

Machine learning methods used to predict the liquid-crystalline behavior of some copolyethers. Use of drug discovery tools in rational organometallic catalyst design. Data mining in catalysis: Separating knowledge from garbage. Principal Components Analysis based on a fuzzy sets approach. A fuzzy principal component analysis approach to hierarchical evaluation model for balanced supply chain scorecard grading.

Fuzzy robust estimation of central location. Study on model construction of IV lateral motion pattern-space for its. Robust statistics in data analysis - a review: Robust Location Estimation with Possibilistic Clustering. Using hybrid parsing models as predictors for a symbolic parser. Soft constraints and data-driven models. Genetic algorithms for data-driven web question answering. Why we respect our Teachers. A Note on Language Learnabilty and Active Learning.

PhD thesis, Universitaet Hamburg, Assessment of heart disease using fuzzy classification techniques. The fuzzy model for diagnosis of animal disease. Fuzzy rule-based classification system for assessing coronary artery disease. Robust fuzzy principal component analysis FPCA. A comparative study concerning interaction of carbon-hydrogen bonds with molybdenum-oxo bonds.

Rederivation of the fuzzy-possibilistic clustering objective function through Bayesian inference.

A new FPCA-based fast segmentation method for color images. Semiempirical comparative binding energy analysis SE-COMBINE of a series of trypsin inhibitors. An adaptive regression adjusted monitoring and fault isolation scheme. Development of a ligand knowledge base, Part 1: Computational descriptors for phosphorus donor ligands. Predictive studies on interaction between DNA and target molecules. Visualizing method for data envelopment analysis. A Fuzzy-Statistics-Based Principal Component Analysis FS-PCA Method for Multispectral Image Enhancement and display.

Computational descriptors for chelating P,P- and P,N-donor ligands. Video-on-demand network design and maintenance using fuzzy optimization. A fuzzy inferencing system for gait recognition. Robust kernel fuzzy pca. Robust kernel pca using fuzzy membership.

Robust kernel fuzzy PCA. International Joint Conference on Neural Networks, Atlanta, GA, JUN Integrated fuzzy ranking analysis for assessing the quality of composting products. Another variant of robust fuzzy pca with initial membership estimation. Summer food resource partitioning between four sympatric fish species in Central Spain River Tormes.

Feeding habits of four sympatric fish species in the iberian peninsula: An Improvement on Robust Fuzzy PCA. Application of the analysis of prey ecological characteristics traits for the study of the feeding behaviour of bottom-feeder fishes: Foraging behaviour of brown trout in wild populations: Disentangling prey-handling efficiency of larval newts through multivariate prey trait analysis.

Age-related differences in prey-handling efficiency and feeding habitat utilization of Squalius carolitertii Cyprinidae according to prey trait analysis. Selective predation by benthivorous fish on stream macroinvertebrates - the role of prey traits and prey abundance. Incorporating spatial context into fuzzy-possibilistic clustering using Bayesian inference.

Informal interactions and their implications for online courses. On individual projects in software engineering education. Sediment pollution assessment by chemometric methods. A pca-fuzzy clustering algorithm for contours analysis. Data analysis with fuzzy sets: The intersection operation in light of joint observables and bell inequalities in operational probability theory.

Principal component analysis versus fuzzy principal component analysis - A case study: Study of water quality in Hindon River using pollution index and environmetrics, India. Assessment of groundwater quality of Lakshimpur robot forex freeware download of Bangladesh using water quality indices, geostatistical methods, and multivariate analysis.

Comments on the paper: Srivastava, PK, Mukherjee, S. Water Acm markets forex review Expo Health 2: Effect of interfacially active fractions of some Egyptian crude oils on their emulsion stability. Fingerprint quality control of Angelica sinensis Oliv. Diels by high-performance liquid chromatography coupled with discriminant analysis. Chemometric characterisation of the quality of ground waters from different wells in slovenia.

Assessment of surface water quality using multivariate statistical techniques: Stockton animal shelter ca case study of the Fuji river basin, japan.

Process monitoring based on independent component analysis-principal component analysis ICA-PCA and similarity factors. Chemometrics based on fuzzy logic principles in environmental studies. Fuzzy design of a Video-on-Demand network. Use of principal component analysis, factor analysis and discriminant analysis to evaluate spatial and temporal variations in water quality of the Mekong river.

Performance evaluation of manufacturing systems based on dependability management indicators-case study: Assessment of water quality of polluted lake using multivariate statistical techniques: Analysis on the Sustainable Utilization of Water Resources in China. Assessment of surface and groundwater water quality at Regional scale. Avaliacao da qualidade da agua: Analysis of alternative water sources for use in the manufacture of concrete.

Heavy Metal and Agricultural Toxics Monitoring in Garasou River in Iran for Water Quality assessment. Human Actions Recognition Using Fuzzy PCA and Discriminative Hidden Model. Non-destructive analysis of amber artefacts from the prehistoric Cioclovina hoard Romania. Speciation and evaluation of Arsenic in surface water and groundwater samples: A multivariate case study. Water security assessment in Haihe River Basin using principal component analysis based on Kendall tau.

A comparative study on hydrogeochemistry of ken and betwa rivers of bundelkhand using statistical approach. Surface Water Quality Assessment in the Central Part of Bangladesh Using Multivariate Analysis. Targeted Application of Seasonal Load Duration Curves Using Multivariate Analysis in Two Watersheds Flowing Into Lake Houston.

Hydrochemical and statistical study of groundwaters in Gabes-south deep aquifer south-eastern Tunisia. Meeting on Water in the Mediterranean Basin, E Univ, Nicosia, CYPRUS, OCT Application of receptor models on water quality data in source apportionment in Kuantan River Basin.

Surface Water John hull options futures and other derivatives download Assessment Using Multivariate Statistical Techniques: Evaluation of Water Quality: Proposal for a New Index Founded on the Fuzzy Logic. Arsenic speciation and other parameters of surface and ground water samples of Jamshoro, Pakistan. Principal component analysis of fluoride geochemistry of groundwater in Shanxi and Inner Mongolia, China.

Key physical characteristics used to assess water harvesting suitability. Hydrochemistry of a complex volcano-sedimentary aquifer using major ions and environmental isotopes data: Dalha basalts aquifer, southwest of Republic of Djibouti. Greywater production in airports: Qualitative and quantitative assessment.

Factors controlling nitrate concentrations in surface waters of an artificially drained agricultural watershed. Identification of groundwater contamination zones and its sources by using multivariate statistical approach in Thirumanimuthar swing trading penny stocks, Tamil Nadu, India. Differential Analysis of Camphor Wood Products by Desorption Atmospheric Pressure Chemical Ionization Mass Spectrometry.

A modified water quality index for intensive shrimp ponds of Litopenaeus vannamei. Variability and relationship of fruit color and sampling location with antioxidant capacities and bioactive content in Morus alba L. Fourier Transform Raman and Statistical Analysis of Thermally Altered Samples of amber. Evaluation of the fate of arsenic-contaminated groundwater at different aquifers of Thar coalfield pakistan.

Integrating principal component analysis and vector quantization with support vector regression for sulfur content prediction in hydrodesulfurization process.

Network intrusion detection based on a general regression neural network optimized by an improved how to win in binary options zeta formula immune algorithm. Factor analysis of surface water quality parameters for the rivers of turkey.

Assessment of sediment contamination and sampling design in savona harbour, italy. Soft sensor design for hydrodesulfurization process using support vector regression based on wt and pca. Identification of groundwater contamination sources flash crash of the stock market in may 2016 Dindugal district of Tamil Nadu, India using GIS and multivariate statistical analyses.

Environmetric techniques in water quality assessment and monitoring: Evaluation of surface water quality using multivariate statistical techniques: Contamination analysis of groundwater in coimbatore district, india: Detecting mistakes in students measurement projects.

In Forex scandal bloomberg Colocviul Academic Clujean de Informatica Babes-Bolyai University, Cluj-Napoca, Romania, Junepp. Fuzzy computing for complexity level of evaluation tests. Best way to get money in wow mop software development team performance.

A biclustering algorithm for discovering value-coherent forex peak trading hours. Fuzzy biclustering for DNA microarray data analysis.

A Novel Biclustering Algorithm for Discovering Value-Coherent Overlapping delta-biclusters. A novel evolutionary algorithm for bi-clustering of gene expression data based on the data entry work at home in uae preserving sub-matrix opsm constraint. On biclustering of gene expression data. Possibilistic biclustering how to make money on avakin life for discovering value-coherent overlapping delta-biclusters.

Distance learning and supporting tools at Babes-Bolyai university. In The Informatics Education Europe Conference IEE II Thessaloniki, Greece, Novemberpp. Current extensions on pulse. Intelligent Disease Identification based on Discriminant Analysis of Clinical Data. Non-destructive analysis of amber artefacts from the prehistoric cioclovina hoard romania.

Discriminant analysis in the presence of interferences: Combined application of target factor analysis and a bayesian soft-classifier. Evolutionary algorithms for the component selection problem. In The 2nd International Workshop Evolutionary Techniques in Data Processingvol. PROMETHEE based Component Evaluation and Selection for Component Based Software Engineering.

International Conference on Advanced Communication Control and Computing Technologies, Syed Ammal Eng Coll, Ramanathapuram, INDIA, MAY Optimal component selection for component-based systems. A system-level modeling methodology for performance-driven component selection in multicore architectures.

Automatic configuration for the component selection problem. Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology Money supermarket stocks and shares isa, France, OctoberACM, New York, NY, USA, pp. Global observation for distributed autonomic networks.

Constraint optimization-based component selection problem. Intrusion detection and attack classifier based on three techniques: Classical and fuzzy principal component analysis of some environmental samples concerning the pollution with heavy metals. The accumulation of heavy metals in agricultural land and the associated potential ecological risks in Shenzhen, China.

Principal component analysis of the main factors of line intensity enhancements observed in oscillating direct current plasma. Application of principal component analysis in the pollution assessment with heavy metals of vegetable food download real club penguin money maker 2.0 in the old mining areas. The Effect of Particulate Matter Components on the Acidity of Rain in Upper Silesia Poland.

Assessment the Soil Properties Affecting Salinity and Sodicity of Bafra Plain Using Multivariate Statistical Technigues. A new component selection algorithm based on metrics and fuzzy clustering analysis.

In Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems. A graph based requirements clustering approach for component selection. Software Architecture Optimization Methods: A Systematic Literature Review. A conceptual framework for component-based system metrics definition. A mapping study to investigate component-based software system metrics. An incremental approach to the set covering problem. Multi-objective test suite optimization for incremental product family testing.

A new fuzzy discriminant analysis method. Predicting potential impacts of climate change on freshwater fish in korea. The general coordinator of the project is prof. Cundari from Faculty of Chemistry, University of Memphis and Prof. The general coordinator of the project is Dr. The General Coordinator of the EUMEDNET "A EUropean and MEDiterranean Trade Support NETwork" Project is Dr. COLL from Universidad de Malaga, Spain. PC-DPT "New techniques in nuclear magnetic resonance on solids"; General contractor is the Research and Development Institute for Isotopic and Nuclear Technologies, Cluj-Napoca, Romania.

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West, Introduction to Algorithms RomanianComputer Libris Agora Press, Cluj-Napoca, Romania,ISBNpages. Comission Internationale de l'Eclairage Seminar "Computer Programs for Light and Lighting" in Vienna, Austria. TR-HH - "Developing Software: Romanian Speaking, reading and writing fluently English Speaking, reading and writing fluently French Speaking, reading and writing fluently German Reading and speaking at satisfactory level Spanish Reading at satisfactory level.

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Program de identificare a obiectelor pe baza unei multimi de atribute asociate program of objects identification based on the set of associated attributes.

Implementarea unor metode de clasificare ierarhica cu multimi nuantate implementation of some methods of hierarchical clustering with fuzzy sets.

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Fuzzy hierarchical clustering with adaptive prototypes. Classification procedure for selectivity control in acrylonitrile electroreduction. Mathematical methods for quality control in propionitrile electrosynthesis.

Algorithms for convex decomposition of finite fuzzy partitions. Program de calcul pentru stabilirea necesarului de caldura computer program for currency options risk reversal the necessary of heat.

Baze de learn forex fx pro pentru clasificarea si datarea inscriptiilor databases for clustering and dating of inscriptions. Problema validitatii claselor cluster validity problem. Reprezentarea computerizata a planurilor de instalatii electrice. Algoritmi de clasificare adaptiva adaptive clustering algorithms. O noua clasa de algoritmi de instruire folosind retele neuronale a new class of training algorithms using neural networks.

Algoritmi pentru descompunerea convexa a partitiilor nuantate finite algorithms for convex decomposition of finite fuzzy partitions. Clasificatori nuantati supervizati supervised fuzzy classifiers. Algoritmul de regresie nuantata the fuzzy regression algorithm. Institutul Politehnic, Cluj-Napoca, Chapter 15, Programe de calcul pentru instalatii electrice Software for Electrical Installations24 pages. Babes-Bolyai University, Cluj-Napoca, Department of Computer Science, Babes-Bolyai University, Cluj-Napoca, June A short introduction to SunOS.

TR-HH, Natural Language Division, Department of Computer Science, University of Hamburg, June TR-HH, Natural Language Research Group, Department of Computer Science, University of Hamburg, June Fuzzy Clustering - selected papers. A Soft-Computing approach to NLP.

Self-Organizing Map in text mining. A short introduction to MacOS. On the numerical modeling and simulation of the control system for a medium frequency static converter. Teaching parallel and distributed computing. Development of robust fuzzy regression techniques using a fuzzy clustering approach. Learning the constraints weights of a dependency grammar using genetic algorithms.

LQ - A toolkit for lighting quality evaluation. Chromaticity in architectural lighting - A luminous environment feature. Integration of the architectural lighting on the environment. A fuzzy clustering approach of optimal evaluation criteria for electric network distribution systems. Cooperative learning for distributed data mining. Cooperative model for web sites authoring. Education for engineering students: The case of logic.

Appraisal of indoor lighting systems quality. The component selection problem as a constraint optimization problem. Effort estimation by analogy using a fuzzy clustering approach. International Conference Knowledge Engineering Principles and Techniques KEPTJulyBabes-Bolyai University, Cluj-Napoca, Romania. An adaptive fuzzy agent clustering algorithm for search engines. An incremental asm-based fuzzy clustering algorithm.

A preliminary bibliography on fuzzy clustering and related fields. A study of the properties of the Fuzzy Relaxation Algorithm. Software for fuzzy clustering and related fields. Improvements of the fuzzy cross-clustering algorithm. A new regression technique based on fuzzy sets.

A study of dependence of software attributes using data analysis techniques. CIMNE Barcelona,pp. The first international conference on knowledge engineering principles and techniques KEPT.

Management of web pages using XML documents. International Conference Knowledge Engineering Principles and Techniques KEPTJuneBabes-Bolyai University, Cluj-Napoca, Romania. On software attributes relationship using a new fuzzy c-bipartitioning method. Component selection based on fuzzy clustering analysis. Residential energy efficient lighting. The 2nd International Conference on Modern Power Systems MPSNovember Academy of Technical Sciences of Romania, Technical University of Cluj-Napoca, Romania.

ISSN Referativnyi Zhurnal, DOAJ. Software quality assessment using a fuzzy clustering approach. Fuzzy clustering in software engineering. Fuzzy data analysis for software metrics assessment of student projects. A Festschrift for Wolfgang W. Overview of fuzzy methods for effort estimation by analogy. Common mistakes in writing a scientific papers.

Processing ECG data using multivariate data analysis. Stereomatching using radiometric invariant measures. A context-aware asm-based clustering algorithm. A fuzzy incremental clustering approach to hybrid data discovery. Automatic criteria-based configuration for the component selection problem. An agent based approach for parallel constraint verification.

Medical procedure breaches detection using a fuzzy clustering approach. Discovering patterns in data using ordinal data analysis.

Preliminary measurements in identifying design flaws. Optimum selection and combination of solvent systems in thin layer cromatography using the fuzzy sets theory. A fuzzy divisive hierarchical clustering algorithm for the optimal choice of set of solvent systems. Fuzzy hierarchical cross-classification of Greek muds. A study of Roman pottery terra sigillata using hierarchical fuzzy clustering.

Convex decomposition of fuzzy partitions, I. Fuzzy cross-classification of the chemical elements, based both on their physical, chemical and structural features.

Improvements and Comparative study. Convex decomposition of fuzzy partitions, II. Recognition of the forms applied to chemical elements. Structural analysis of transition metal Beta-X substituent interactions. Towards the use of soft computing methods for catalyst modeling. Fuzzy classification and comparison of some Romanian and American coals. Robust Fuzzy Principal Component Analysis FPCA.

Principal Component Analysis versus Fuzzy Principal Component Analysis. The quality of Danube water Intelligent disease identification based on discriminant analysis. Prognostic factors in liver failure in children by discriminant analysis of clinical data. Tracking mistakes in software measurement using fuzzy data analysis. A genetic fuzzy biclustering algorithm for discovering value-coherent biclusters. A tutorial on object-orientedness in functional programming.

Applications of Principal Components Methods. International Conference on Complexity and Intelligence of the Artificial and Natural Complex Systems - Medical Applications of the Complex Systems Biomedical Computing. Effort estimation by analogy based on soft computing methods. Improving similarity join algorithms using fuzzy clustering technique. A fuzzy clustering algorithm for dynamic environments. Recognizing emotions in short text. A parallel clustering approach for hybrid data discovery.

Learning grammar weights using genetic algorithms. Distance learning and supporting tools at Babes-Bolyai University. Improving movement analysis in physical therapy systems based on kinect interaction.

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Grant PNCDI II Partnerships No. Chair of Clinical Psychology and Psychotherapy, Chair of Psychology and Chair of Programming Languages and Methods from BBU. Research grant coordinated by Prof. Applications in machine learning, evolutionary optimisation, scientific data analysis and natural language processing.

Contract between the Babes-Bolyai University, Cluj-Napoca and the National Council of University Scientific Research, Ministry of Research and Technology. Useful algorithms in the functioning of the university services network. New performant algorithms concerning problems of classification, simulation and reorganization of data.

Militon Frentiu and Grigor Moldovan. RomanianPop, F. Details About the Thesis This Ph. The fuzzy set appeared as a result of the trials to solve the pattern recognition problem in the context of imprecisely defined categories. In such cases, the membership degree of an object to a class is a problem of nuance. A first application of the fuzzy sets theory in the cluster analysis is due to Ruspini in [16]. However, the relevance of the fuzzy sets theory for the classification theory and for pattern recognition was definitely established inwith the paper of Dunn and Bezdek [8] concerning the Fuzzy n-Means algorithm.

The thesis lays on pages, is structured on six chapters, and has a bibliography of titles. The first chapter shows the fundamental notions of the fuzzy sets theory. There are defined the fuzzy sets and fuzzy points. There are presented the axioms of the fuzzy sets operations. The triangular norms and co-norms and the fuzzy complement are introduced.

The disjointness of two fuzzy sets and of a family at most countable of fuzzy sets are discussed. Finally, there are approached metrical notions as distance between two fuzzy sets, diameter of a fuzzy set and distance with respect to a fuzzy set.

The second chapter discusses the problem of convex decomposition of finite fuzzy partitions. There are approached both the degenerate and the non-degenerate convex decomposition. The MiniMax and MiniMiniMax degenerate convex decomposition algorithms are studied. We show that these algorithms have a series of common properties. A comparative statistical study with respect to these two algorithms is presented.

In the second part, the problem of non-degenerate convex decomposition is studied. The algorithm DNDCD for non-degenerate convex decomposition of a fuzzy partition is presented. If such a convex decomposition does not exist, the algorithm produces a convex decomposition as less degenerate as possible.

The properties of the DNDCD algorithm are then studied. The third chapter approaches the unsupervised fuzzy classification. The fundamental problem of classification is presented. The most important classes of classification algorithms are discussed. In what follows the algorithms based on optimizing a criterion function will be studied. The di- similarity measure is defined.

The Classical n-Means algorithm and its fuzzy version, Fuzzy n-Means, are presented. The convergence of the algorithms similar to Fuzzy n-Means is studied. The 'weak points' of the Fuzzy n-Means are discussed. There is approached the cluster validity problem. Different validity functionals are presented. The generalization of the Fuzzy n-Means algorithm for producing the cluster substructure of a fuzzy set, and the fuzzy divisive hierarchical clustering algorithm are studied.

The problem of unequal sized clusters is discussed. The algorithms based on adaptive metric and ellipsoidal prototypes are studied. There is studied the problem of the classes' shape and the use of linear prototypes; the use of convex combinations between the criterion functions; the use of adaptive prototypes.

Other types of classification are approached: The notion of fuzzy set associated to a classical set is then studied. There is presented an algorithm to produce this fuzzy set. Finally, a series of numerical experiments with respect to these algorithms is done. The fourth chapter studies the problem of supervised fuzzy classification.

The Rosenblatt perceptron algorithm is presented. The notion of linear separability with respect to two fuzzy sets is studied. A few generalization of the perceptron algorithm are studied: The fuzzy relaxation algorithm is studied.

This algorithm has a series of interesting properties that allow its use in the case of two linearly non-separable fuzzy sets. A series of fuzzy algorithms based on minimization of the square error are presented: The fuzzy decision supervised classification is then studied.

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A series of fuzzy algorithms are discussed: The fifth chapter presents the SAADI software System for Automatic Analysis of Data and for their Interpretation. This system, realized using Borland Pascal with Objects 7. The system has effectively been used in the research activity of the Fuzzy Systems Research Group from the Department of Computer Science, as well as in the research activity at other faculties of our university.

The sixth chapter presents a few fuzzy classification applications. There is approached the use of fuzzy sets to optimally selecting the solvents systems; to the study of Roman pottery terra sigillata ; to the classification of Greek muds and pelloids; to the study of importance of fuzzy regression algorithms in chemistry; to the creation of a fuzzy system of chemical elements.

Among the original elements presented throughout this thesis we recall the following: Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York, James C. Watson, Detection and characterisation of cluster substructure: Fuzzy C-lines, SIAM Journal on Applied Mathematics 40, 2James C.

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Fuzzy C-varieties and convex combinations thereof, SIAM Journal on Applied Mathematics 40, 2D. Dumitrescu, and Horia F.

Pop, Convex decomposition of fuzzy partitions, I. Fuzzy Sets and Systems 73D. Dumitrescu and Horia F. Pop, Convex decomposition of fuzzy partitions, II.

Fuzzy Sets and Systems 96D. Pop and Costel Sarbu, Fuzzy hierarchical cross-classification of Greek muds, Journal of Chemical Information and Computer Sciences 35D. Dumitrescu, Costel Sarbu and Horia F. Pop, A fuzzy divisive hierarchical clustering algorithm for the optimal choice of set of solvent systems, Analytical Letters 27, 5J. Dunn, A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters, Journal of Cybernetics 3, 3Horia F.

Pop, Adaptive prototypes in fuzzy clustering, B. Pop, A study of the properties of the Fuzzy Relaxation Algorithm, Studia Universitatis Babes-Bolyai, Series Math. Dumitrescu and Costel Sarbu, A study of Roman pottery terra sigillata using hierarchical fuzzy clustering, Analitica Chimica ActaHoria F. Pop and Costel Sarbu, A new fuzzy regression algorithm, Journal of Analytical Chemistry 68Horia F.

Pop, Costel Sarbu, Ossi Horowitz and D. Dumitrescu, A fuzzy classification of the chemical elements, Journal of Chemical Information and Computer Sciences 36Enrique H. Ruspini, A new approach to clustering, Information and Control 15Costel Sarbu, Ossi Horowitz and Horia F. Pop, A fuzzy classification of the chemical elements, based both on their physical, chemical and structural features, Journal of Chemical Information and Computer Sciences 36 BoxLiverpool L69 3BX, Great Britain, E-mail: Kluwer Academic Publishers, Manchester University Press, The Falmer Press, SADIC for wxWidgets - System for Automatic Data Investigation and Classification, SADIC for wxWindows - System for Automatic Data Investigation and Classification, SAADIW - System for Automatic Analysis of Data and for their Interpretation, Software for characteristics reduction, fuzzy clustering, fuzzy regression, fuzzy training and fuzzy cross-classification.

LIGHT - Software package for interior and exterior lighting design, SAADI - System for Automatic Analysis of Data and for their Interpretation, Software Package for Design and Analysis of Low Voltage Electrical Installations, CHAN - Didactical demonstrative software package for applications of Analytical Chemistry, Thesis "Intelligent Systems in Classification Problems" Scientific supervisor: Bachelor's Degree with maximum grade: Thesis "Adaptive Prototypes in Fuzzy Clustering" Scientific supervisor: Program de master din anul The overall sequence is: This single file creates a barebones TW environment that is just sufficient to bootstrap the modules containing the main logic of the application.

On the server this file is executed directly to boot TiddlyWiki. In the browser, this file is packed into a single HTML file. We don't use location.