A new fuzzy multiple attributive group decision making methodology and its application to propulsion/manoeuvring system selection problem

被引:238
作者
Ölçer, AI
Odabasi, AY
机构
[1] Univ Glasgow, Dept Naval Architecture & Marine Engn, Ship Stabil Res Ctr, Glasgow G1 1XN, Lanark, Scotland
[2] Univ Strathclyde, Dept Naval Architecture & Marine Engn, Ship Stabil Res Ctr, Glasgow G1 1XN, Lanark, Scotland
[3] Istanbul Tech Univ, Fac Naval Architecture & Ocean Engn, TR-80626 Istanbul, Turkey
关键词
multiple criteria analysis; fuzzy sets; group decision-making; heterogeneous group of experts; aggregation; consensus;
D O I
10.1016/j.ejor.2004.02.010
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper, a new fuzzy multiple attribute decision-making (FMADM) method, which is suitable for multiple attributive group decision making (GDM) problems in fuzzy environment, is proposed to deal with the problem of ranking and selection of alternatives. Since the subjectivity, imprecision and vagueness in the estimates of a performance rating enter into multiple attribute decision-making (MADM) problems, fuzzy set theory provides a mathematical framework for modelling vagueness and imprecision. In the proposed approach, an attribute based aggregation technique for heterogeneous group of experts is employed and used for dealing with fuzzy opinion aggregation for the subjective attributes of the decision problem. The propulsion/manoeuvring system selection as a real case study is used to demonstrate the versatility and potential of the proposed method for solving fuzzy multiple attributive group decision-making problems. The proposed method is a generalised model, which can be applied to great variety of practical problems encountered in the naval architecture from propulsion/manoeuvring system selection to warship requirements definition. (c) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:93 / 114
页数:22
相关论文
共 60 条
[1]  
[Anonymous], FUZZY SETS SYSTEMS
[2]  
[Anonymous], 1982, FUZZY INFORM DECISIO
[3]  
[Anonymous], P OP RES
[4]  
[Anonymous], 1995, EUR J OPER RES
[5]  
[Anonymous], 1992, LECT NOTES ECON M, DOI DOI 10.1007/978-3-642-46768-4_5
[6]  
[Anonymous], 1991, FUZZY SET THEORY ITS
[7]  
[Anonymous], FUZZY SETS SYSTEMS
[8]   Measuring manufacturing competence: A fuzzy approach [J].
Azzone, G ;
Rangone, A .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1996, 34 (09) :2517-2532
[9]   RATING AND RANKING OF MULTIPLE-ASPECT ALTERNATIVES USING FUZZY SETS [J].
BAAS, SM ;
KWAKERNAAK, H .
AUTOMATICA, 1977, 13 (01) :47-58
[10]  
Bellman R. E., 1971, Decision-making in a fuzzy environment, DOI 10.1287/mnsc.17.4.B141