Optimizing relative weights of alternatives with fuzzy comparative judgment

Chung Hsing Yeh, Yu Hern Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an optimal weighting approach for maximizing the overall preference value of decision alternatives based on a given set of weights and performance ratings. In policy analysis settings, relative weights for policy alternatives are subjectively assessed by a group of experts or stakeholders via surveys using comparative judgment. A hierarchical pairwise comparison process is developed to help make comparative judgment among a large number of alternatives with fuzzy ratio values. Performance ratings for policy alternatives are obtained from objective measurement or subjective judgement. The preference value of an expert on a policy alternative is obtained by multiplying the weight of the alternative by its performance rating. Two optimization models are developed to determine the optimal weights that maximize the overall preference value of all experts or stakeholders. An empirical study of evaluating Taiwan's air cargo development strategies is conducted to illustrate the approach.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2006
Subtitle of host publicationInternational Conference, Proceedings - Part III
PublisherSpringer Verlag
Pages649-658
Number of pages10
ISBN (Print)3540340750, 9783540340751
DOIs
Publication statusPublished - 2006
EventICCSA 2006: International Conference on Computational Science and Its Applications - Glasgow, United Kingdom
Duration: 2006 May 82006 May 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3982 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherICCSA 2006: International Conference on Computational Science and Its Applications
Country/TerritoryUnited Kingdom
CityGlasgow
Period06-05-0806-05-11

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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