A fuzzy decision support system for strategic portfolio management

被引:90
作者
Lin, CH [1 ]
Hsieh, PJ
机构
[1] Natl Chung Cheng Univ, Dept Informat Management, Chiayi, Taiwan
[2] Natl Cheng Kung Univ, Dept Ind Management Sci, Tainan 70101, Taiwan
[3] Natl Cheng Kung Univ, Inst Informat Management, Tainan 70101, Taiwan
[4] Kung Shan Univ Technol, Dept Informat Management, Tainan, Taiwan
关键词
strategic portfolio; fuzzy weighted average; fuzzy integer linear programming; decision support system;
D O I
10.1016/S0167-9236(03)00118-0
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Portfolio selection for strategic management is a crucial activity in many organizations, and it is concerned with a complex process that involves many decision-making situations. In order to decide which of the proposed projects should be retained in the final project portfolio, numerous conflicting criteria must be considered. They include economic, personnel development, and corporate image. Although there are many studies available to assist decision-makers in doing the process of portfolio selection, there are no integrated frameworks that one can use to systematically do the portfolio selection. In addition, in most decision-making situations, decision-makers have to make decisions with incomplete information and under uncertain circumstances. These situations have been recognized by many researchers as a suitable field to use fuzzy set theory. Therefore, based on the concepts of decision support system (DSS), we developed an integrated framework that incorporates fuzzy theory into strategic portfolio selection. This framework provides managers with a flexible, expandable and interactive DSS to select projects for portfolio management. We used a real-world case to demonstrate the proposed approach. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:383 / 398
页数:16
相关论文
共 38 条
[21]   Project selection criteria by strategic orientation [J].
Jiang, JJ ;
Klein, G .
INFORMATION & MANAGEMENT, 1999, 36 (02) :63-75
[22]   Decision support system for multicriterial R&D and information systems projects selection [J].
Klapka, J ;
Pinos, P .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2002, 140 (02) :434-446
[23]   A fuzzy model for R&D project selection with benefit, outcome and resource interactions [J].
Kuchta, Dorota .
Engineering Economist, 2001, 46 (03) :164-180
[24]   An efficient algorithm for fuzzy weighted average [J].
Lee, DH ;
Park, DH .
FUZZY SETS AND SYSTEMS, 1997, 87 (01) :39-45
[25]   Using analytic network process and goal programming for interdependent information system project selection [J].
Lee, JW ;
Kim, SH .
COMPUTERS & OPERATIONS RESEARCH, 2000, 27 (04) :367-382
[26]   FUZZY WEIGHTED AVERAGE - AN IMPROVED ALGORITHM [J].
LIOU, TS ;
WANG, MJJ .
FUZZY SETS AND SYSTEMS, 1992, 49 (03) :307-315
[27]  
Machacha LL, 2000, IEEE T ENG MANAGE, V47, P65, DOI 10.1109/17.820726
[28]   R&D project selection using the analytic network process [J].
Meade, LA ;
Presley, A .
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2002, 49 (01) :59-66
[29]   Supporting facilitation in group support systems: Techniques for analyzing consensus relevant data [J].
Ngwenyama, OK ;
Bryson, N ;
Mobolurin, A .
DECISION SUPPORT SYSTEMS, 1996, 16 (02) :155-168
[30]   Application of fuzzy sets with different t-norms in the interpretation of portfolio matrices in strategic management [J].
Pap, E ;
Bosnjak, Z ;
Bosnjak, S .
FUZZY SETS AND SYSTEMS, 2000, 114 (01) :123-131