A consistency and consensus based decision support model for group decision making with multiplicative preference relations
被引:222
|
作者:
Wu, Zhibin
论文数: 0引用数: 0
h-index: 0
机构:
Sichuan Univ, Uncertainty Decis Making Lab, Chengdu 610064, Peoples R ChinaSichuan Univ, Uncertainty Decis Making Lab, Chengdu 610064, Peoples R China
Wu, Zhibin
[1
]
Xu, Jiuping
论文数: 0引用数: 0
h-index: 0
机构:
Sichuan Univ, Uncertainty Decis Making Lab, Chengdu 610064, Peoples R ChinaSichuan Univ, Uncertainty Decis Making Lab, Chengdu 610064, Peoples R China
Xu, Jiuping
[1
]
机构:
[1] Sichuan Univ, Uncertainty Decis Making Lab, Chengdu 610064, Peoples R China
Group decision making;
Multiplicative preference relation;
Consistency;
Consensus;
Decision support model;
ANALYTIC HIERARCHY PROCESS;
COMPARISON MATRIX;
AGGREGATION;
SYSTEM;
D O I:
10.1016/j.dss.2011.11.022
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
In group decision making (GDM) with multiplicative preference relations (also known as pairwise comparison matrices in the Analytical Hierarchy Process), to come to a meaningful and reliable solution, it is preferable to consider individual consistency and group consensus in the decision process. This paper provides a decision support model to aid the group consensus process while keeping an acceptable individual consistency for each decision maker. The concept of an individual consistency index and a group consensus index is introduced based on the Hadamard product of two matrices. Two algorithms are presented in the designed support model. The first algorithm is utilized to convert an unacceptable preference relation to an acceptable one. The second algorithm is designed to assist the group in achieving a predefined consensus level. The main characteristics of our model are that: (1) it is independent of the prioritization method used in the consensus process; (2) it ensures that each individual multiplicative preference relation is of acceptable consistency when the predefined consensus level is achieved. Finally, some numerical examples are given to verify the effectiveness of our model. (C) 2011 Elsevier B.V. All rights reserved.
机构:
Fujian Normal Univ, Digital Fujian Internet Things Lab Environm Monit, Fuzhou 350117, Fujian, Peoples R ChinaFujian Normal Univ, Coll Math & Informat, Fuzhou 350117, Fujian, Peoples R China
Zhan, Qianshan
Xu, Zeshui
论文数: 0引用数: 0
h-index: 0
机构:
Sichuan Univ, Business Sch, Chengdu 610064, Sichuan, Peoples R China
Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing 210044, Jiangsu, Peoples R ChinaFujian Normal Univ, Coll Math & Informat, Fuzhou 350117, Fujian, Peoples R China