Free download скачать Fuzzy Set Theory - and Its Applications by H.-J. Zimmermann
English | PDF | 1985 | 366 Pages | ISBN : 9401571554 | 11.6 MB
Since its inception 20 years ago the theory  of  fuzzy sets has advanced in a variety  of  ways and in many disciplines. Applications  of  this theory can be found in artificial intelligence, computer science, control engineering, decision theory, expert systems, logic, management science, operations research, pattern recognition, robotics and others. Theoretical advances have been made in many directions.  In  fact it seems extremely difficult for a newcomer to the  field  or  for somebody who wants to apply fuzzy set theory to his problems to recognize properly the present "state  of  the art." Therefore, many applications use fuzzy set theory on a much more elementary level than appropriate and necessary.  On  the other hand, theoretical publications are already so specialized and assume such a background in fuzzy set theory that they are hard to understand. The more than 4,000 publications  that  exist in the field are widely scattered over many areas and in many journals. Existing books are edited volumes containing specialized contributions  or  monographs  that  only focus on specific areas  of  fuzzy sets, such as pattern recognition ezdek  1981, switching functions [Kandel, Lee  1979],  or  decision making [Kickert 1978].  Even the excellent survey book by Dubois and Prade  [1980]  is primarily intended as a research compendium for insiders rather  than  an introduction to fuzzy set theory  or  a textbook. This lack  of  a compre- hensive and modern text  is  particularly recognized by newcomers to the field  and by those who want to teach fuzzy set theory and its applications.

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