A comparison between Possibility and Probability in multiple criteria decision making

被引：6

作者：

Iglesias, A. ^{[1
]}

Del Castillo, M. D. ^{[1
]}

Santos, M. ^{[2
]}

Serrano, J. I. ^{[1
]}

Oliva, J. ^{[1
]}

机构：

[1] Inst Automat Ind, Grp Bioingn, Ctra Campo Real Km 0-200, Madrid 28500, Spain

[2] Univ Complutense Madrid, Dept Arquitect Computad & Automat, Madrid 28080, Spain

来源：

COMPUTATIONAL INTELLIGENCE IN DECISION AND CONTROL | 2008年 / 1卷

关键词：

D O I：

10.1142/9789812799470_0050

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The aim of this paper is to compare two common methods used to solve multiple criteria decision making (MCDM) problems: the general fuzzy method and a method based on influence diagrams. The first method is based on the Possibility Theory while the other one is based on the Probability Theory. The two methods are used to evaluate and choose the best means of transport in order to show advantages and disadvantages. Expert knowledge has been applied in this work to model the preferences and show how the final decision changes according to these weights. This problem has been broadly used in previous literature as a prototype problem to evaluate MCDM methods. Some interesting conclusions regarding this comparison have been drawn.

引用

页码：307 / 312

页数：6

共 10 条

[1] Bellman R. E., 1971, Decision-making in a fuzzy environment, DOI 10.1287/mnsc.17.4.B141
[2] Extensions of the TOPSIS for group decision-making under fuzzy environment
Chen, CT
[J]. FUZZY SETS AND SYSTEMS, 2000, 114 (01) : 1 - 9
[3] Making decisions: using Bayesian nets and MCDA
Fenton, N
Neil, M
[J]. KNOWLEDGE-BASED SYSTEMS, 2001, 14 (07) : 307 - 325
[4] Risk and confidence analysis for fuzzy multicriteria decision making
Fenton, Norman
Wang, Wei
[J]. KNOWLEDGE-BASED SYSTEMS, 2006, 19 (06) : 430 - 437
[5] Figueira J, 2005, INT SER OPER RES MAN, V78, P133, DOI 10.1007/0-387-23081-5_4
[6] HOWARD RA, 1981, INFLUENCE DIAGRAMS R, P721
[7] Kaufmann A., 1991, Introduction to fuzzy arithmetic: Theory and applications
[8] Pearl J, 1988, Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
[9] Von Neumann John, 2004, Theory of Games and Economic Behaviour, DOI DOI 10.1515/9781400829460
[10] WATTHAYU W, 2004, MCDM 2004, P6

← 1 →