A Mobile Decision Support System for Dynamic Group Decision-Making Problems

被引:223
作者
Javier Perez, Ignacio [1 ]
Javier Cabrerizo, Francisco [2 ]
Herrera-Viedma, Enrique [1 ]
机构
[1] Univ Granada, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, Spain
[2] Univ Nacl Educ Distancia, Dept Software Engn & Comp Syst, Madrid 28040, Spain
来源
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS | 2010年 / 40卷 / 06期
关键词
Decision support system (DSS); group decision making (GDM); mobile Internet (M-Internet); DIFFERENT FORMATS; CONSENSUS MODEL; AGGREGATION; QUALITY;
D O I
10.1109/TSMCA.2010.2046732
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The aim of this paper is to present a decision support system model with two important characteristic: 1) mobile technologies are applied in the decision process and 2) the set of alternatives is not fixed over time to address dynamic decision situations in which the set of solution alternatives could change throughout the decision-making process. We implement a prototype of such mobile decision support system in which experts use mobile phones to provide their preferences anywhere and anytime. To get a general system, experts' preferences are assumed to be represented by different preference representations: 1) fuzzy preference relations; 2) orderings; 3) utility functions; and 4) multiplicative preference relations. Because this prototype incorporates both selection and consensus processes, it allows us to model group decision-making situations. The prototype incorporates a tool for managing the changes on the set of feasible alternatives that could happen throughout the decision process. This way, the prototype provides a new approach to deal with dynamic group decision-making situations to help make decisions anywhere and anytime.
引用
收藏
页码:1244 / 1256
页数:13
相关论文
共 36 条
[1]  
[Anonymous], FUZZY PREFERENCE MOD
[2]  
Aronson J.E., 2005, DECIS SUPPORT SYST, V4
[3]   Linguistic-labels aggregation and consensus measure for autocratic decision making using group recommendations [J].
Ben-Arieh, David ;
Chen, Zhifeng .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2006, 36 (03) :558-568
[4]   Minimum Cost Consensus With Quadratic Cost Functions [J].
Ben-Arieh, David ;
Easton, Todd ;
Evans, Brandon .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2009, 39 (01) :210-217
[5]  
BURSTEIN Frada., 2008, HDB DECISION SUPPORT
[6]   Fuzzy group decision-making to multiple preference formats in quality function deployment [J].
Buyukozkan, Gulcin ;
Feyzioglu, Orhan ;
Ruan, Da .
COMPUTERS IN INDUSTRY, 2007, 58 (05) :392-402
[7]   A CONSENSUS MODEL FOR GROUP DECISION MAKING PROBLEMS WITH UNBALANCED FUZZY LINGUISTIC INFORMATION [J].
Cabrerizo, F. J. ;
Alonso, S. ;
Herrera-Viedma, E. .
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2009, 8 (01) :109-131
[8]   Integrating multiplicative preference relations in a multipurpose decision-making model based on fuzzy preference relations [J].
Chiclana, F ;
Herrera, F ;
Herrera-Viedma, E .
FUZZY SETS AND SYSTEMS, 2001, 122 (02) :277-291
[9]   Integrating three representation models in fuzzy multipurpose decision making based on fuzzy preference relations [J].
Chiclana, F ;
Herrera, F ;
Herrera-Viedma, E .
FUZZY SETS AND SYSTEMS, 1998, 97 (01) :33-48
[10]   Aggregation of preferences based on FSAM in GDSS [J].
Choi, Dae-Young .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2008, 38 (01) :2-8