Fuzzy Sets, Decision Making, and Expert Systems

Name: Fuzzy Sets, Decision Making, and Expert Systems
Brand: Kluwer Academic Publishers
SKU: 9780898381498
Price: 724.47 PLN
Availability: InStock

Autor: Heintz-Jürgen Zimmermann

Język:

Oprawa: Twarda

Wydawca: Kluwer Academic Publishers

Dostępność: Dostępna u dostawcy w małych ilościach

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In the two decades since its inception by L. Zadeh, the theory of fuzzy sets has matured into a wide...

Informacje o książce

Autor

Heintz-Jürgen Zimmermann

Język

Angielski

Oprawa

Książka - Twarda

strony

336

EAN

9780898381498

ISBN

0898381495

Enbook ID

01401010

Wydawca

Kluwer Academic Publishers

Waga

1480

Wymiary

155 x 235 x 23

Pełny opis

In the two decades since its inception by L. Zadeh, the theory of fuzzy sets has matured into a wide-ranging collection of concepts, models, and tech niques for dealing with complex phenomena which do not lend themselves to analysis by classical methods based on probability theory and bivalent logic. Nevertheless, a question which is frequently raised by the skeptics is: Are there, in fact, any significant problem areas in which the use of the theory of fuzzy sets leads to results which could not be obtained by classical methods? The approximately 5000 publications in this area, which are scattered over many areas such as artificial intelligence, computer science, control engineering, decision making, logic, operations research, pattern recognition, robotics and others, provide an affirmative answer to this question. In spite of the large number of publications, good and comprehensive textbooks which could facilitate the access of newcomers to this area and support teaching were missing until recently. To help to close this gap and to provide a textbook for courses in fuzzy set theory which can also be used as an introduction to this field, the first volume ofthis book was published in 1985 [Zimmermann 1985 b]. This volume tried to cover fuzzy set theory and its applications as extensively as possible. Applications could, therefore, only be described to a limited extent and not very detailed.

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