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Book
Fuzzy sets and systems : theory and applications
Authors: ---
ISBN: 1282034685 9786612034688 0080917720 Year: 1980 Publisher: New York : Academic Press,

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Abstract

Fuzzy Sets and Systems

Decision Theory and Multi-Agent Planning
Authors: --- --- ---
ISBN: 9783211381670 3211317872 9783211317877 3211381678 Year: 2006 Publisher: Vienna : Springer Vienna : Imprint: Springer,

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Abstract

The work presents a modern, unified view on decision support and planning by considering its basics like preferences, belief, possibility and probability as well as utilities. These features together are immanent for software agents to believe the user that the agents are 'intelligent'.

Keywords

Mathematics. --- Probability Theory and Stochastic Processes. --- Probability and Statistics in Computer Science. --- Mathematical Logic and Foundations. --- Statistical Theory and Methods. --- Mathematical Logic and Formal Languages. --- Models and Principles. --- Computer science. --- Logic, Symbolic and mathematical. --- Distribution (Probability theory). --- Mathematical statistics. --- Mathématiques --- Informatique --- Logique symbolique et mathématique --- Distribution (Théorie des probabilités) --- Statistique mathématique --- Decision making -- Computer programs -- Congresses. --- Decision making -- Computer programs. --- Intelligent agents (Computer software) -- Congresses. --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Decision making --- Intelligent agents (Computer software) --- Data processing --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Mathematical logic. --- Computers. --- Probabilities. --- Statistics. --- Choice (Psychology) --- Problem solving --- Distribution (Probability theory. --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Informatics --- Science --- Distribution functions --- Frequency distribution --- Characteristic functions --- Statistical methods --- Statistics . --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Probability --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk


Book
Fuzzy sets and their extensions : representation, aggregation, and models : intelligent systems from decision making to data mining, web intelligence, and computer vision
Authors: --- --- ---
ISBN: 9783540737223 3540737227 3540737235 Year: 2008 Volume: 220 Publisher: Berlin : Springer-Verlag,

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This carefully edited book presents an up-to-date state of current research in the use of fuzzy sets and their extensions, paying attention to foundation issues and to their application to four important areas where fuzzy sets are seen to be an important tool for modelling and solving problems. The book contains 34 chapters divided into two parts. The first part is divided into two sections. Section 1 contains four review papers introducing some non standard representations that extend fuzzy sets (type-2 fuzzy sets, Atanassov’s IFS, fuzzy rough sets and computing with words under the fuzzy sets perspective). Section 2 reviews different aggregation issues from a theoretical and practical point of view; this second part is divided into four sections. Section 3 is devoted to decision making, with seven papers that show how fuzzy sets and their extensions are an important tool for modelling choice problems. Section 4 includes eight papers that cover different aspects on the use of fuzzy sets and their extensions in data mining, giving an illustrative review of the state of the art on the topic. Section 5 is devoted to the emergent topic of web intelligence and contains four papers that show the use of fuzzy sets theory in some problems that can be tackled in this topic. Section 6 is devoted to the use of fuzzy sets and their extensions in the field of computer vision, suggesting how these can be an useful tool in this area. This volume will be extremely useful to any non-expert reader who is keen to get a good overview on the latest developments in this research field. It will also support those specialists who wish to discover the latest results and trends in the abovementioned areas.

Keywords

Fuzzy sets --- Fuzzy logic --- Decision making --- Data mining --- World Wide Web --- Computer vision --- Soft computing --- Ensembles flous --- Logique floue --- Prise de décision --- Exploration de données (Informatique) --- Web --- Vision par ordinateur --- Informatique douce --- Congresses. --- Mathematical models --- Mathematics --- Congrès --- Modèles mathématiques --- Mathématiques --- Applied Mathematics --- Civil Engineering --- Computer Science --- Engineering & Applied Sciences --- Civil & Environmental Engineering --- Soft computing. --- Fuzzy sets. --- Data mining. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Sets, Fuzzy --- Computer science. --- Computers. --- Artificial intelligence. --- Applied mathematics. --- Engineering mathematics. --- Computer Science. --- Theory of Computation. --- Appl.Mathematics/Computational Methods of Engineering. --- Artificial Intelligence (incl. Robotics). --- Database searching --- Fuzzy mathematics --- Set theory --- Cognitive computing --- Electronic data processing --- Computational intelligence --- Information theory. --- 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 --- Communication theory --- Communication --- Cybernetics --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Calculators --- Cyberspace


Book
Soft Methods for Handling Variability and Imprecision
Authors: --- --- --- --- --- et al.
ISBN: 3540850279 3540850260 Year: 2008 Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,

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Probability theory has been the only well-founded theory of uncertainty for a long time. It was viewed either as a powerful tool for modelling random phenomena, or as a rational approach to the notion of degree of belief. During the last thirty years, in areas centered around decision theory, artificial intelligence and information processing, numerous approaches extending or orthogonal to the existing theory of probability and mathematical statistics have come to the front. The common feature of those attempts is to allow for softer or wider frameworks for taking into account the incompleteness or imprecision of information. Many of these approaches come down to blending interval or fuzzy interval analysis with probabilistic methods. This book gathers contributions to the 4th International Conference on Soft methods in Probability and Statistics. Its aim is to present recent results illustrating such new trends that enlarge the statistical and uncertainty modeling traditions, towards the handling of incomplete or subjective information. It covers a broad scope ranging from philosophical and mathematical underpinnings of new uncertainty theories, with a stress on their impact in the area of statistics and data analysis, to numerical methods and applications to environmental risk analysis and mechanical engineering. A unique feature of this collection is to establish a dialogue between fuzzy random variables and imprecise probability theories.

Keywords

Soft computing --- Fuzzy sets --- Probabilities --- Mathematical statistics --- Distribution (Probability theory. --- Computer aided design. --- Artificial intelligence. --- Engineering mathematics. --- Statistics. --- Information technology. --- Probability Theory and Stochastic Processes. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Artificial Intelligence. --- Mathematical and Computational Engineering. --- Statistics, general. --- IT in Business. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Engineering --- Engineering analysis --- Mathematical analysis --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- CAD (Computer-aided design) --- Computer-assisted design --- Computer-aided engineering --- Design --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities. --- Computer-aided engineering. --- Applied mathematics. --- Statistics . --- Business—Data processing. --- CAE --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Risk --- Data processing


Book
Preferences and Similarities
Authors: --- --- --- --- --- et al.
ISBN: 9783211854327 3211854312 9783211854310 9786612330841 1282330845 3211854320 Year: 2008 Publisher: Vienna : Springer Vienna : Imprint: Springer,

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The fields of similarity and preference are still broadening due to the exploration of new fields of application. This is caused by the strong impact of vagueness, imprecision, uncertainty and dominance on human and agent information, communication, planning, decision, action, and control as well as by the technical progress of the information technology itself. The topics treated in this book are of interest to computer scientists, statisticians, operations researchers, experts in AI, cognitive psychologists and economists.

Keywords

Computer Science. --- Data Structures, Cryptology and Information Theory. --- Operations Research/Decision Theory. --- Computer science. --- Data structures (Computer science). --- Informatique --- Structures de données (Informatique) --- Decision making. --- Fuzzy logic. --- Production planning. --- Computer Science --- Mathematical Statistics --- Mathematics --- Engineering & Applied Sciences --- Physical Sciences & Mathematics --- Databases. --- Embedded computer systems. --- Nonlinear logic --- Embedded systems (Computer systems) --- Data banks --- Data bases --- Databanks --- Database systems --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Manufacturing planning --- Process planning --- Decision making --- Operations research. --- Operation Research/Decision Theory. --- Choice (Psychology) --- Problem solving --- Planning --- Production engineering --- Fuzzy mathematics --- Logic, Symbolic and mathematical --- Fuzzy systems --- Computer systems --- Architecture Analysis and Design Language --- Computer files --- Electronic information resources --- Data structures (Computer scienc. --- Data Structures and Information Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Data structures (Computer science) --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science)

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