Optimizing relative weights of alternatives with fuzzy comparative judgment

Chung Hsing Yeh, Yu Hern Chang

研究成果: Conference contribution

摘要

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.

原文English
主出版物標題Computational Science and Its Applications - ICCSA 2006
主出版物子標題International Conference, Proceedings - Part III
發行者Springer Verlag
頁面649-658
頁數10
ISBN(列印)3540340750, 9783540340751
DOIs
出版狀態Published - 2006 1月 1
事件ICCSA 2006: International Conference on Computational Science and Its Applications - Glasgow, United Kingdom
持續時間: 2006 5月 82006 5月 11

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3982 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Other

OtherICCSA 2006: International Conference on Computational Science and Its Applications
國家/地區United Kingdom
城市Glasgow
期間06-05-0806-05-11

All Science Journal Classification (ASJC) codes

  • 理論電腦科學
  • 電腦科學(全部)

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