Skip to main content

Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory

  • Book
  • © 1990

Overview

Part of the book series: Theory and Decision Library B (TDLB, volume 18)

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (27 chapters)

  1. Introductory Sections

  2. General Issues Related to Decision Making under Fuzziness

  3. Group Decision Making under Fuzziness

Keywords

About this book

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.

Editors and Affiliations

  • Systems Research Institute, Polish Academy of Science, Warsaw, Poland

    Janusz Kacprzyk

  • Institute of Computer Science, University of Trento, Italy

    Mario Fedrizzi

Bibliographic Information

  • Book Title: Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory

  • Editors: Janusz Kacprzyk, Mario Fedrizzi

  • Series Title: Theory and Decision Library B

  • DOI: https://doi.org/10.1007/978-94-009-2109-2

  • Publisher: Springer Dordrecht

  • eBook Packages: Springer Book Archive

  • Copyright Information: Kluwer Academic Publishers 1990

  • Hardcover ISBN: 978-0-7923-0884-3Published: 31 October 1990

  • Softcover ISBN: 978-94-010-7448-3Published: 26 September 2011

  • eBook ISBN: 978-94-009-2109-2Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: X, 346

  • Topics: Operations Research/Decision Theory, Political Science

Publish with us