Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory

Name: Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory
Brand: Springer
SKU: 9780792308843
Price: 4566 CZK
Availability: InStock

Autor: J. Kacprzyk, M. Fedrizzi

Jazyk:

Vazba: Pevná

Vydavatel: Springer

Dostupnost: Skladem u dodavatele

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4 566 Kč

Decision making is certainly a very crucial component of many human activities. It is, therefore, no...

Informace o knize

Autor

J. Kacprzyk, M. Fedrizzi

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

1990

Stránek

346

EAN

9780792308843

ISBN

0792308840

Enbook ID

01393102

Vydavatel

Springer

Hmotnost

1520

Rozměry

156 x 234 x 22

Kompletní popis

Decision making is certainly a very crucial component of many human activities. It is, therefore, not surprising that models of decisions play a very important role not only in decision theory but also in areas such as operations Research, Management science, social Psychology etc . . The basic model of a decision in classical normative decision theory has very little in common with real decision making: It portrays a decision as a clear-cut act of choice, performed by one individual decision maker and in which states of nature, possible actions, results and preferences are well and crisply defined. The only compo nent in which uncertainty is permitted is the occurence of the different states of nature, for which probabilistic descriptions are allowed. These probabilities are generally assumed to be known numerically, i. e. as single probabili ties or as probability distribution functions. Extensions of this basic model can primarily be conceived in three directions: 1. Rather than a single decision maker there are several decision makers involved. This has lead to the areas of game theory, team theory and group decision theory. 2. The preference or utility function is not single valued but rather vector valued. This extension is considered in multiattribute utility theory and in multicritieria analysis. 3.

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Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory

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