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There is a great interest in clustering techniques due to the vast amount of data generated in every field including business, health, science, engineering, aerospace, management and so on. It is essential to extract useful information from the data. Clustering techniques are widely used in pattern recognition and related applications. The research monograph presents the most recent advances in fuzzy clustering techniques and their applications. The following contents are included: Introduction to Fuzzy Clustering Fuzzy Clustering based Principal Component Analysis Fuzzy Clustering based Regression Analysis Kernel based Fuzzy Clustering Evaluation of Fuzzy Clustering Self-Organized Fuzzy Clustering This book is directed to the computer scientists, engineers, scientists, professors and students of engineering, science, computer science, business, management, avionics and related disciplines.

Fuzzy sets. --- Fuzzy logic. --- Fuzzy mathematics. --- Data mining. --- Soft computing. --- Ensembles flous --- Logique floue --- Mathématiques floues --- Exploration de données (Informatique) --- Informatique douce --- Fuzzy sets --- Fuzzy logic --- Fuzzy mathematics --- Data mining --- Soft computing --- Mathematics --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Physical Sciences & Mathematics --- Algebra --- Civil Engineering --- Applied Mathematics --- 681.3*I2 --- Artificial intelligence. AI --- 681.3*I2 Artificial intelligence. AI --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Nonlinear logic --- Sets, Fuzzy --- Mathematics. --- Artificial intelligence. --- Mathematical logic. --- Applied mathematics. --- Engineering mathematics. --- Mathematical Logic and Foundations. --- Appl.Mathematics/Computational Methods of Engineering. --- Artificial Intelligence (incl. Robotics). --- Electronic data processing --- Set theory --- Logic, Symbolic and mathematical --- Fuzzy systems --- Database searching --- Cognitive computing --- Computational intelligence --- Logic, Symbolic and mathematical. --- Mathematical and Computational Engineering. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Engineering --- Engineering analysis --- Mathematical analysis --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Algebra, Abstract --- Metamathematics --- Syllogism

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Vagueness is central to the flexibility and robustness of natural language descriptions. Vague concepts are robust to the imprecision of our perceptions, while still allowing us to convey useful, and sometimes vital, information. The study of vagueness in Artificial Intelligence (AI) is therefore motivated by the desire to incorporate this robustness and flexibility into intelligent computer systems. Such a goal, however, requires a formal model of vague concepts that will allow us to quantify and manipulate the uncertainty resulting from their use as a means of passing information between autonomous agents. This volume outlines a formal representation framework for modelling and reasoning with vague concepts in Artificial Intelligence. The new calculus has many applications, especially in automated reasoning, learning, data analysis and information fusion. This book gives a rigorous introduction to label semantics theory, illustrated with many examples, and suggests clear operational interpretations of the proposed measures. It also provides a detailed description of how the theory can be applied in data analysis and information fusion based on a range of benchmark problems.

Computational linguistics. --- Semantics --- Knowledge representation (Information theory) --- Fuzzy sets. --- Fuzzy logic. --- Linguistique informatique --- Sémantique --- Représentation des connaissances --- Ensembles flous --- Logique floue --- Mathematical models. --- Modèles mathématiques --- Artificial intelligence. --- Electronic books. -- local. --- Expert systems (Computer science). --- Uncertainty (Information theory). --- Computational linguistics --- Fuzzy sets --- Fuzzy logic --- Languages & Literatures --- Engineering & Applied Sciences --- Mechanical Engineering --- Computer Science --- Mechanical Engineering - General --- Philology & Linguistics --- Mathematical models --- Information Technology --- Artificial Intelligence --- Knowledge representation (Information theory). --- Uncertainty (Information theory) --- Expert systems (Computer science) --- Models, Mathematical --- Sets, Fuzzy --- Knowledge-based systems (Computer science) --- Systems, Expert (Computer science) --- Measure of uncertainty (Information theory) --- Shannon's measure of uncertainty --- System uncertainty --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Computer science. --- Computers. --- Mathematical statistics. --- Pattern recognition. --- Information theory. --- Complexity, Computational. --- Computer Science. --- Theory of Computation. --- Artificial Intelligence (incl. Robotics). --- Complexity. --- Pattern Recognition. --- Information and Communication, Circuits. --- Probability and Statistics in Computer Science. --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Complexity, Computational --- Communication theory --- Communication --- Cybernetics --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Calculators --- Cyberspace --- Informatics --- Science --- Statistical methods --- Fuzzy mathematics --- Set theory --- Artificial intelligence --- Soft computing --- Information measurement --- Questions and answers --- Engineering. --- Optical pattern recognition. --- Mathematics. --- Artificial Intelligence. --- Math --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Construction --- Industrial arts --- Technology --- Computational complexity. --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Nonlinear logic --- Logic, Symbolic and mathematical --- Fuzzy systems --- Representation of knowledge (Information theory) --- Information theory --- Data processing