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# đź“™ Fuzzy Logic Applications in Engineering Science by J. Harris (auth.), Professor S. G. Tzafestas, Professor C. S. Chen, Professor T. Fokuda, Professor F. Harashima, Professor G. Schmidt, Professor N. K. Sinha, Professor D. Tabak, Professor K. Valavanis (eds.) â€” download pdf

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- Series:
**Microprocessor-Based and Intelligent Systems Engineering 29** - Author:
**J. Harris (auth.), Professor S. G. Tzafestas, Professor C. S. Chen, Professor T. Fokuda, Professor F. Harashima, Professor G. Schmidt, Professor N. K. Sinha, Professor D. Tabak, Professor K. Valavanis (eds.)** - Year:
**2006** - Publisher:
**Springer Netherlands** - Language:
**English** - ISBN:
**978-1-4020-4077-1,978-1-4020-4078-8**

- File size:
**4 287 966** - Format:
**pdf**

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Fuzzy logic is a relatively new concept in science applications. Hitherto, fuzzy logic has been a conceptual process applied in the field of risk management. Its potential applicability is much wider than that, however, and its particular suitability for ...

Fuzzy logic is a relatively new concept in science applications. Hitherto, fuzzy logic has been a conceptual process applied in the field of risk management. Its potential applicability is much wider than that, however, and its particular suitability for ...

Fuzzy logic has a much wider and deeper foundation than is implied in thispractical text. To learn a new language one can study the grammar or learn byexamples. Professional engineers and students with time constraints would usuallyopt for the latter meth...

The first edition of Fuzzy Logic with Engineering Applications (1995) was the first classroom text for undergraduates in the field. Now updated for the second time, this new edition features the latest advances in the field including material on expansion...

This volume constitutes the proceedings of the Second Fuzzy Logic in AI Workshop, held in conjunction with IJCAI '93 in ChambĂ©ry, France in August 1993.The book contains full revised versions of the papers presented at the workshop and covers several aspe...

Fuzzy Logic is a computational paradigm capable of modelling the own uncertainness of human beings. Fuzzy reasoning is nothing else than a Fuzzy Logic-based formalism for encoding human knowledge or common sense in a numerical framework. Indeed, the mathe...

The book, titled â€śLinguistic Fuzzy-Logic Methods in Social Sciences,â€ť is a first in its kind. Linguistic fuzzy logic theory deals with sets or categories whose boundaries are blurry or, in other words, â€śfuzzy,â€ť and which are expressed in a formalism that ...

Đ› fuzzy logic system (FLS) is unique in that it is able to simultaneously handle numerical data and linguistic knowledge. It is a nonlinear mapping of an input data (feature) vector into a scalar output, i.e., it maps numbers into numbers. Fuzzy set theor...

This book describes new methods for building intelligent systems using type-2 fuzzy logic and soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including type-1 fuzzy logic, neural networks, and genetic algorithms, wh...