Fuzzy Sets, Decision Making, and Expert Systems

Name: Fuzzy Sets, Decision Making, and Expert Systems
Brand: Kluwer Academic Publishers
SKU: 9780898381498
Price: 57800 HUF
Availability: InStock

Szerző: Heintz-Jürgen Zimmermann

Nyelv:

Kötés: Kemény kötésű

Kiadó: Kluwer Academic Publishers

Elérhetőség: Beszállítói készleten

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

Információk a könyvről

Szerző

Heintz-Jürgen Zimmermann

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

oldal

336

EAN

9780898381498

ISBN

0898381495

Enbook ID

01401010

Kiadó

Kluwer Academic Publishers

Súly

1480

Méretek

155 x 235 x 23

Teljes leírás

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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Fuzzy Sets, Decision Making, and Expert Systems

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