Fuzzy decision making under uncertainty

Cengiz Kahraman, Ethem Tolga

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

When no probabilities are available for states of nature, decisions are given under uncertainty. When probabilities are unattainable, the criteria such as minimax, maximin, minimaxregret can be used. While these criteria are used, a single value is assigned for every strategy and state of nature. Fuzzy numbers are a good tool for the operation research analyst facing uncertainty and subjectivity. A triangular fuzzy number has been used instead of a single value of outcome. Numerical Examples have been given for every fuzzy decision criterion.

Original languageEnglish
Title of host publicationMethodology and Tools in Knowledge-Based Systems - 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA-1998-AIE, Proceedings
EditorsJose Mira, Angel Pasqual del Pobil, Moonis Ali
PublisherSpringer Verlag
Pages263-271
Number of pages9
ISBN (Print)3540645829, 9783540645825
DOIs
Publication statusPublished - 1998
Event11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1998 - Benicassim, Spain
Duration: 1 Jun 19984 Jun 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1415
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1998
Country/TerritorySpain
CityBenicassim
Period1/06/984/06/98

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1998.

Keywords

  • Decision criteria
  • Fuzzy number
  • Fuzzy set theory
  • Uncertainty

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