Vaguely Defined Objects - Representations, Fuzzy Sets and Nonclassical Cardinality theory (Paperback, Softcover reprint of the original 1st ed. 1996)

In recent years, an impetuous development of new, unconventional theories, methods, techniques and technologies in computer and information sciences, systems analysis, decision-making and control, expert systems, data modelling, engineering, etc. , resulted in a considerable increase of interest in adequate mathematical description and analysis of objects, phenomena, and processes which are vague or imprecise by their very nature. Classical two-valued logic and the related notion of a set, together with its mathematical consequences, are then often inadequate or insufficient formal tools, and can even become useless for applications because of their (too) categorical character: 'true - false', 'belongs - does not belong', 'is - is not', 'black - white', '0 - 1', etc. This is why one replaces classical logic by various types of many-valued logics and, on the other hand, more general notions are introduced instead of or beside that of a set. Let us mention, for instance, fuzzy sets and derivative concepts, flou sets and twofold fuzzy sets, which have been created for different purposes as well as using distinct formal and informal motivations. A kind of numerical information concerning of 'how many' elements those objects are composed seems to be one of the simplest and more important types of information about them. To get it, one needs a suitable notion of cardinality and, moreover, a possibility to calculate with such cardinalities. Unfortunately, neither fuzzy sets nor the other nonclassical concepts have been equipped with a satisfactory (nonclassical) cardinality theory.

General

Imprint:	Springer
Country of origin:	Netherlands
Series:	Theory and Decision Library B, 33
Release date:	November 2013
First published:	1996
Authors:	M. Wygralak
Dimensions:	235 x 155 x 15mm (L x W x T)
Format:	Paperback
Pages:	268
Edition:	Softcover reprint of the original 1st ed. 1996
ISBN-13:	978-9401737838
Categories:	Books > Computing & IT > General theory of computing > General Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Science & Mathematics > Mathematics > Mathematical foundations > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	9401737835
Barcode:	9789401737838

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