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e-Book Intuitionistic Fuzzy Sets: Theory and Applications (Studies in Fuzziness and Soft Computing) download
by Krassimir T. Atanassov
ISBN13: 978-3790812282
Language: English
Publisher: Physica; 1999 edition (November 23, 1999)
Pages: 324
Category: Computer Science
Subategory: Technologies
Fb2 size: 1285 kb
DJVU size: 1399 kb
Votes: 281
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Studies in Fuzziness and Soft Computing. Theory and Applications.
Studies in Fuzziness and Soft Computing. Intuitionistic Fuzzy Sets. This book is the first attempt for a more comprehensive and complete report on the intuitionistic fuzzy set theory and its more relevant applications in a variety of diverse fields. In this sense, it has also a referential character. Show all. Table of contents (6 chapters).
Электронная книга "Intuitionistic Fuzzy Sets: Theory and Applications", Krassimir T. Atanassov. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Intuitionistic Fuzzy Sets: Theory and Applications" для чтения в офлайн-режиме.
This item: Intuitionistic Fuzzy Sets: Theory and Applications (Studies in Fuzziness and Soft Computing).
Intuitionistic Fuzzy Sets", subtitle: "Theory and Applications" is the title of a book by Krassimir Atanassov, published in Springer Physica-Verlag Publishing house in November 1999 under ISBN 3-7908-1228-5
Intuitionistic Fuzzy Sets", subtitle: "Theory and Applications" is the title of a book by Krassimir Atanassov, published in Springer Physica-Verlag Publishing house in November 1999 under ISBN 3-7908-1228-5. It is featured in the series "Studies in Fuzziness and Soft Computing" under Volume 35. The book introduces the basic definitions and properties of the intuitionistic fuzzy sets, which are substantial extensions of the ordinary fuzzy sets
An extensive background of Fuzziness and Fuzzy Real Analysis is given
An extensive background of Fuzziness and Fuzzy Real Analysis is given. The author covers Fuzzy Differentiation and Integration Theory followed by Fuzzy Ostrowski inequalities. Then results on classical algebraic and trigonometric polynomial Fuzzy Approximation are presented. The author develops a complete theory of convergence with rates of Fuzzy Positive linear operators to Fuzzy unit operator, the so-called Fuzzy Korovkin Theory. The exposed theory is destined and expected to find applications to all aspects of Fuzziness from theoretical to practical in almost all sciences, technology, finance and industry. Also it has its interest within Pure Mathematics.
Fuzzy Linear Programming is among the best and most studied topics in the Fuzzy Sets and Systems area.
The majority of our conventional tools for computing, analysis and modeling arebased on clear cut, defined, deterministic and precise information (generally crisp in nature) and concentrateon true yes or true no type information rather than more or less type information. Fuzzy Linear Programming is among the best and most studied topics in the Fuzzy Sets and Systems area.
Krassimir T. Published in Studies in Fuzziness and Soft Computing 2012. Atanassov Since the afor. By (author) Krassimir T.
Fuzzy Set Theory-and Its Applications. Applications of Fuzzy Sets in Engineering and Management Introduction Engineering Applications Linguistic Evaluation and Ranking of Machine Tools Fault Detection in Gearboxes Applications in Management A Discrete Location Model Fuzzy Set Models in Logistics Fuzzy Approach to the Transportation Problem Fuzzy Linear Programming in Logistics Fuzzy Sets in Scheduling Job-Shop Scheduling with Expert Systems A Method to Control Flexible Manufacturing Systems Aggregate.
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