Fuzzy Set Based Consensus Schemes for Multicriteria Group Decision making Applied to Strategic Planning

被引:66
作者
Parreiras, R. O. [1 ]
Ekel, P. Ya. [2 ]
Morais, D. C. [3 ]
机构
[1] Pontificia Univ Catolica Minas Gerais, Postgrad Program Elect Engn, BR-30535610 Belo Horizonte, MG, Brazil
[2] Pontificia Univ Catolica Minas Gerais, Grad Program Elect Engn, BR-30535610 Belo Horizonte, MG, Brazil
[3] Univ Fed Pernambuco, Dept Prod Engn, BR-50740530 Recife, PE, Brazil
关键词
Group decision; Consensus; Fuzzy preference relations; Strategic planning; PREFERENCE RELATIONS; AGGREGATION; OPTIMIZATION; MODEL;
D O I
10.1007/s10726-011-9231-0
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This paper studies three consensus schemes based on fuzzy models for dealing with the input of multiple experts in multicriteria decision making. The consensus schemes are based on different aggregation procedures for constructing a collective decision. In the paper, we propose a methodology that makes use of the three consensus schemes implemented by a coordination mode that creates an efficient manner of exploiting the capabilities of each member of the group in a cooperative work. The applicability and efficiency of the proposed methodology is demonstrated through an application related to strategic planning.
引用
收藏
页码:153 / 183
页数:31
相关论文
共 32 条
[1]  
Ackoff, 1970, CONCEPT CORPORATE PL
[2]  
Alonso S, 2007, IEEE INT CONF FUZZY, P1823
[3]  
[Anonymous], 1994, Fuzzy preference modelling and multicriteria decision support
[4]  
Bernardes P, 2009, FUZZY SET B IN PRESS, P247
[5]   STRATEGIC RESOURCES - TRAITS, CONFIGURATIONS AND PATHS TO SUSTAINABLE COMPETITIVE ADVANTAGE [J].
BLACK, JA ;
BOAL, KB .
STRATEGIC MANAGEMENT JOURNAL, 1994, 15 :131-148
[6]   Aggregation of fuzzy opinions under group decision-making based on similarity and distance [J].
Lu C. ;
Lan J. ;
Wang Z. .
Journal of Systems Science and Complexity, 2006, 19 (1) :63-71
[7]  
De Baets P, 1997, RIV MATEMATICA SCI E, V20, P45
[8]   Fuzzy set based models and methods of multicriteria group decision making [J].
Ekel, P. ;
Queiroz, J. ;
Parreiras, R. ;
Palhares, R. .
NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS, 2009, 71 (12) :E409-E419
[9]   A general approach to solving a wide class of fuzzy optimization problems [J].
Ekel, P ;
Pedrycz, W ;
Schinzinger, R .
FUZZY SETS AND SYSTEMS, 1998, 97 (01) :49-66
[10]  
Ekel P, 2009, P 41 BRAZ S OP RES P, P1789