Fuzzy Sets And Fuzzy Logic George J Klir Pdf

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Don't have an account? The high visibility of fuzzy logic and mathematics based on fuzzy logic is primarily due to their highly successful applications in many areas of human affairs. The aim of this chapter is to characterize the evolution and current status of these applications.

George Klir

View larger cover. Reflecting the tremendous advances that have taken place in the study of fuzzy set theory and fuzzy logic from to the present, this book not only details the theoretical advances in these areas, but considers a broad variety of applications of fuzzy sets and fuzzy logic as well. Crisp Sets: An Overview. Fuzzy Sets: Basic Types. Fuzzy Sets: Basic Concepts. Characteristics and Significance of the Paradigm Shift. Additional Properties of -Cuts. Representations of Fuzzy Sets.

Extension Principle for Fuzzy Sets. Types of Operations. Fuzzy Complements. Fuzzy Intersections: t- Norms. Fuzzy Unions: t-Conorms. Combinations of Operations. Aggregation Operations. Fuzzy Numbers. Linguistic Variables. Arithmetic Operations on Intervals. Arithmetic Operations on Fuzzy Numbers.

Lattice of Fuzzy Numbers. Fuzzy Equations. Crisp versus Fuzzy Relations. Projections and Cylindric Extensions. Binary Fuzzy Relations. Binary Relations on a Single Set. Fuzzy Equivalence Relations. Fuzzy Compatibility Relations. Fuzzy Ordering Relations. Fuzzy Morphisms. Sup-i Compositions of Fuzzy Relations. Inf- Compositions of Fuzzy Relations. General Discussion. Problem Partitioning. Solution Method. Approximate Solutions. The Use of Neural Networks. Fuzzy Measures. Evidence Theory.

Possibility Theory. Fuzzy Sets and Possibility Theory. Possibility Theory versus Probability Theory. Classical Logic: An Overview. Multivalued Logics. Fuzzy Propositions. Fuzzy Quantifiers. Linguistic Hedges. Inference from Conditional Fuzzy Propositions. Inference from Conditional and Qualified Propositions. Inference from Quantified Propositions. Information and Uncertainty.

Nonspecificity of Crisp Sets. Nonspecificity of Fuzzy Sets. Fuzziness of Fuzzy Sets. Uncertainty in Evidence Theory. Summary of Uncertainty Measures. Principles of Uncertainty.

Methods of Construction: An Overview. Direct Methods with One Expert. Direct Methods with Multiple Experts. Indirect Methods with One Expert. Indirect Methods with Multiple Experts. Constructions from Sample Data. Fuzzy Expert Systems: An Overview. Fuzzy Implications. Selection of Fuzzy Implications. Multiconditional Approximate Reasoning. The Role of Fuzzy Relation Equations. Interval-Valued Approximate Reasoning. Fuzzy Controllers: An Overview. Fuzzy Controllers: An Example.

Fuzzy Systems and Neural Networks. Fuzzy Neural Networks. Fuzzy Automata. Fuzzy Dynamic Systems. Fuzzy Clustering. Fuzzy Pattern Recognition. Fuzzy Image Processing. Fuzzy Databases. Fuzzy Information Retrieval. Individual Decision Making. Multiperson Decision Making. Multicriteria Decision Making. Multistage Decision Making. Fuzzy Ranking Methods. Fuzzy Linear Programming. Civil Engineering. Mechanical Engineering. Industrial Engineering. Computer Engineering. Reliability Theory.

Fuzzy Systems and Genetic Algorithms. Fuzzy Regression. Interpersonal Communication. Other Applications. Pearson Higher Education offers special pricing when you choose to package your text with other student resources.

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Fifty Years of Fuzzy Logic and its Applications

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View larger cover. Reflecting the tremendous advances that have taken place in the study of fuzzy set theory and fuzzy logic from to the present, this book not only details the theoretical advances in these areas, but considers a broad variety of applications of fuzzy sets and fuzzy logic as well. Crisp Sets: An Overview. Fuzzy Sets: Basic Types. Fuzzy Sets: Basic Concepts. Characteristics and Significance of the Paradigm Shift.

The chapters, written by pioneers and prominent scholars in the field, show how fuzzy sets have been successfully applied to artificial intelligence, control theory, inference, and reasoning. The book also reports on theoretical issues; features recent applications of Fuzzy Logic in the fields of neural networks, clustering, data mining, and software testing; and highlights an important paradigm shift caused by Fuzzy Logic in the area of uncertainty management. Skip to main content Skip to table of contents. Advertisement Hide. This service is more advanced with JavaScript available.

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 Когда? - Он заржал.  - Она давно уехала. Отправилась в аэропорт несколько часов .

Fuzzy Logic Books

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 Не знаю. Все это выглядит довольно странно. - Думаешь, надо вернуть им отчет. Она посмотрела на него недовольно. В том, что касалось Мидж Милкен, существовали две вещи, которые никому не позволялось ставить под сомнение. Первой из них были предоставляемые ею данные.

А вы останетесь. - Мне неприятно тебе это говорить, - сказал Стратмор, - но лифт без электричества - это не лифт. - Вздор! - крикнул Хейл.

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