Multi-attribute group decision-making with multi-granularity linguistic assessment information: An improved approach based on deviation and TOPSIS

被引:62
作者
Liu, Sen [1 ]
Chan, Felix T. S. [2 ]
Ran, Wenxue [1 ]
机构
[1] Yunnan Univ Finance & Econ, Sch Logist, Kunming 650221, Peoples R China
[2] Hong Kong Polytech Univ, Dept Ind & Syst Engn, Hong Kong, Hong Kong, Peoples R China
关键词
Multi-attribute group decision-making; Multi-granularity; Standard and mean deviation; TOPSIS; INCOMPLETE WEIGHT INFORMATION; AGGREGATION OPERATORS; SELECTION; MODEL;
D O I
10.1016/j.apm.2013.05.051
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With respect to group decision-making problems with multi-granularity linguistic assessment information, a new approach is proposed. Firstly, the computational formulae are given in order to transform and unify the multi-granularity linguistic comparison matrices. Secondly, the method of standard and mean deviation is applied to determine the unknown attribute weights, and the weights of the decision makers will be determined by using the extended TOPSIS (technique for order preference by similarity to an ideal solution) method. Finally, based on the LWAA (linguistic weighted arithmetic averaging) operator, information on the preference provided by each decision maker is aggregated into the comprehensive evaluation value of each alternative, and the most desirable alternative is selected. The proposed approach expands the research in multi-attribute group decision-making with multi-granularity linguistic assessment information by both considering the weights of the attributes and decision makers, and objective weighting for them. A numerical example is given to illustrate the practicability and usefulness of the proposed approach. (C) 2013 Elsevier Inc. All rights reserved.
引用
收藏
页码:10129 / 10140
页数:12
相关论文
共 41 条
[1]   DELEGATION PROCESS FOR COMBINING INDIVIDUAL UTILITY-FUNCTIONS [J].
BODILY, SE .
MANAGEMENT SCIENCE, 1979, 25 (10) :1035-1041
[2]   In-depth analysis and simulation study of an innovative fuzzy approach for ranking alternatives in multiple attribute decision making problems based on TOPSIS [J].
Chamodrakas, I. ;
Leftheriotis, I. ;
Martakos, D. .
APPLIED SOFT COMPUTING, 2011, 11 (01) :900-907
[3]   Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation [J].
Cheng, CH ;
Lin, Y .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2002, 142 (01) :174-186
[4]   Consensus-based intelligent group decision-making model for the selection of advanced technology [J].
Choudhury, A. K. ;
Shankar, Ravi ;
Tiwari, M. K. .
DECISION SUPPORT SYSTEMS, 2006, 42 (03) :1776-1799
[5]   A method for group decision-making based on multi-granularity uncertain linguistic information [J].
Fan, Zhi-Ping ;
Liu, Yang .
EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (05) :4000-4008
[6]   A SEQUENTIAL SELECTION PROCESS IN GROUP DECISION-MAKING WITH A LINGUISTIC ASSESSMENT APPROACH [J].
HERRERA, F ;
HERRERA-VIEDMA, E ;
VERDEGAY, JL .
INFORMATION SCIENCES, 1995, 85 (04) :223-239
[7]   A fusion approach for managing multi-granularity linguistic term sets in decision making [J].
Herrera, F ;
Herrera-Viedma, E ;
Martínez, L .
FUZZY SETS AND SYSTEMS, 2000, 114 (01) :43-58
[8]   A model of consensus in group decision making under linguistic assessments [J].
Herrera, F ;
Herrera-Viedma, E ;
Verdegay, JL .
FUZZY SETS AND SYSTEMS, 1996, 78 (01) :73-87
[9]   A model based on linguistic 2-tuples for dealing with multigranular hierarchical linguistic contexts in multi-expert decision-making [J].
Herrera, F ;
Martínez, L .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2001, 31 (02) :227-234
[10]   Multiperson decision-making based on multiplicative preference relations [J].
Herrera, F ;
Herrera-Viedma, E ;
Chiclana, F .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2001, 129 (02) :372-385