Intuitionistic Fuzzy Sets: Theory and Applications (Studies in Fuzziness and Soft Computing, 35)

Atanassov, Krassimir T.

ISBN 10: 3790812285 / ISBN 13: 9783790812282

Published by Physica, 1999

About this Item

A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.

Seller Inventory # OTV.3790812285.G

Bibliographic Details

• Title: Intuitionistic Fuzzy Sets: Theory and Applications (Studies in Fuzziness and Soft Computing, 35)
• Publisher: Physica
• Publication Date: 1999
• Language: English
• ISBN 10: 3790812285
• ISBN 13: 9783790812282
• Binding: Hardcover
• Condition: good

About this title

Synopsis

In the beginning of 1983, I came across A. Kaufmann's book "Introduction to the theory of fuzzy sets" (Academic Press, New York, 1975). This was my first acquaintance with the fuzzy set theory. Then I tried to introduce a new component (which determines the degree of non-membership) in the definition of these sets and to study the properties of the new objects so defined. I defined ordinary operations as "n", "U", "+" and "." over the new sets, but I had began to look more seriously at them since April 1983, when I defined operators analogous to the modal operators of "necessity" and "possibility". The late George Gargov (7 April 1947 - 9 November 1996) is the "god­ father" of the sets I introduced - in fact, he has invented the name "intu­ itionistic fuzzy", motivated by the fact that the law of the excluded middle does not hold for them. Presently, intuitionistic fuzzy sets are an object of intensive research by scholars and scientists from over ten countries. 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.