Fuzzy Preference Modelling and Multicriteria Decision Support

Name: Fuzzy Preference Modelling and Multicriteria Decision Support
Brand: Springer
SKU: 9780792331162
Price: 59155 HUF
Availability: InStock

Szerző: János Fodor, M.R. Roubens

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

59 155 Ft

The encounter, in the late seventies, between the theory of triangular norms, issuing frorn stochast...

Információk a könyvről

Szerző

János Fodor, M.R. Roubens

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

1994

oldal

256

EAN

9780792331162

ISBN

0792331168

Enbook ID

01394549

Kiadó

Springer

Súly

1250

Méretek

156 x 234 x 19

Teljes leírás

The encounter, in the late seventies, between the theory of triangular norms, issuing frorn stochastic geornetry, especially the works of Menger, Schweizer and Sklar, on the one band, and the theory of fuzzy sets due to Zadeh, 10n the other band has been very fruitful. Triangular norms have proved to be ready-rnade mathematical rnodels of fuzzy set intersections and have shed light on the algebraic foundations of fuzzy sets. One basic idea behind the study of triangular norms is to solve functional equations that stern frorn prescribed axioms describing algebraic properties such as associativity. Alternative operations such as rneans have been characterized in a similar way by Kolmogorov, for instance, and the rnethods for solving functional equations are now weil established thanks to the efforts of Aczel, among others. One can say without overstaternent that the introduction of triangular norms in fuzzy sets has strongly influenced further developrnents in fuzzy set theory, and has significantly contributed to its better acceptance in pure and applied rnathematics circles. The book by Fodor and Roubens systematically exploits the benefits of this encounter in the- analysis of fuzzy relations. The authors apply functional equation rnethods to notions such as equivalence relations, and various kinds of orderings, for the purpose of preference rnodelling. Centtal to this book is the rnultivalued extension of the well-known result claiming that any relation expressing weak preference can be separated into three cornponents respectively describing strict preference, indifference and incomparability.

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Fuzzy Preference Modelling and Multicriteria Decision Support

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