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Fuzzy Probabilities and Fuzzy Sets for Web Planning

. In part two, Chapters 4-10, we use fuzzy probabilities to model a fuzzy queuing system . We switch to employ ing fuzzy arrival rates and fuzzy;

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Fuzzy Knowledge Management for the Semantic Web

research in the fuzzy knowledge representation and reasoning for the Semantic Web. The objective of the book is to provide the state of the art;

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Fuzzy Knowledge Management for the Semantic Web

research in the fuzzy knowledge representation and reasoning for the Semantic Web. The objective of the book is to provide the state of the art;

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Possibility for Decision

imprecise future data, predictive probabilities and possibilities for risk assessment in grid computing, fuzzy ontologies for process industry, and;

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Fuzzy Lie Algebras

, interval-valued intuitionistic fuzzy sets, vague sets and bipolar fuzzy sets. The book offers a valuable resource for students and researchers;

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Fuzzy Probability and Statistics

This book combines material from our previous books FP (Fuzzy Probabilities: New Approach and Applications,Physica-Verlag, 2003) and FS;

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Fuzzy Set and Its Extension

Fuzzy Set and Its Extension: The Intuitionistic Fuzzy Set is an ideal text for graduate and research students, as well as professionals;

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Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems

examples. Almost entirely self-contained, Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems establishes a strong foundation for;

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Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems

examples. Almost entirely self-contained, Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems establishes a strong foundation for;

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Fuzzy Information Measures with Applications

FUZZY INFORMATION MEASURES WITH APPLICATIONS consists from chapters 1 to 8 deals with fuzzy sets theory including fuzzy sets and operations;

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Genetic Algorithms, Fuzzy Systems & Website Classification

discussed include genetic algorithm for optimal design of fuzzy classifiers; design and analysis of type-2 fuzzy PI controller; selection of supply;

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Fuzzy Sets, Fuzzy Logic, Applications

Fuzzy sets and fuzzy logic are powerful mathematical tools for modeling and controlling uncertain systems in industry, humanity, and nature;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

; fuzzy transforms: theory and applications to data analysis and image processing; imprecise probabilities: foundations and applications;

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Foundations of Fuzzy Logic and Semantic Web Languages

for representing and reasoning with fuzzy information within Semantic Web languages. The book focuses on the three main streams of Semantic;

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Fuzzy Set Theory

techniques and model-testing. Key Features: Addresses Basic Concepts: Fuzzy set theory is an analytic framework for handling concepts;

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Axiomatic Fuzzy Set Theory and Its Applications

natural language and computing with words. Fuzzy sets and fuzzy logic are used for mod- ing imprecise modes of reasoning that play a pivotal role;

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A Modern Introduction to Fuzzy Mathematics

Perfect for advanced undergraduate students, graduate students, and researchers with an interest in the field of fuzzy mathematics, A Modern;

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Introduction to Fuzzy Reliability

problems which are raised by applications of fuzzy methodology in hardware and software reliability, but may be important for fuzzy set and;

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Biological Models via Interval Type-2 Fuzzy Sets

, or FRBS, are shown for both types, interval type-2 and type-1 fuzzy sets. Applications include the pharmacological models, prediction;

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Applications of Fuzzy Logic in Planning and Operation of Smart Grids

in the application of fuzzy logic in the planning and operation of smart grids. A global group of researchers and scholars present innovative;

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Fuzzy Sets and Systems

Fuzzy Sets and Systems;

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An Introduction to Fuzzy Sets

The concept of fuzzy sets is one of the most fundamental and influential tools in computational intelligence. Fuzzy sets can provide;

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An Introduction to Fuzzy Sets

Wilks' theorem to model the hybrid structure of randomness and fuzziness modeling. In closing, a standard fuzzy arithmetic method is used for;

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Hesitant Fuzzy Sets Theory

and Narukawa in 2009, hesitant fuzzy sets have become more and more popular and have been used for a wide range of applications, from decision;

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Fuzzy Sets & their Application to Clustering & Training

Clustering and Training offers a comprehensive introduction to fuzzy set theory, focusing on the concepts and results needed for training and;

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Information Processing and Management of Uncertainty

uncertainty and imprecision on the web of data; decision support and uncertainty management in agri-environment; fuzzy implications; clustering; fuzzy;

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Rough Sets and Current Trends in Computing

; fuzzy decision making and consensus; soft computing for learning from data; web information systems and decision making; image processing and;

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