Variable precision rough set for group decision-making: An application

International Journal of Approximate Reasoning - Tập 49 - Trang 331-343 - 2008
Gang Xie1,2, Jinlong Zhang2, K.K. Lai3, Lean Yu4
1Center for Energy and Environmental Policy Research (CEEP), Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100080, China
2School of Management, Huazhong University of Science and Technology, Wuhan 430074, China
3Department of Management Sciences, City University of Hong Kong, Hong Kong
4Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100080, China

Tài liệu tham khảo

Desanctis, 1987, A foundation for the study of group decision support systems, Manage. Sci., 33, 589, 10.1287/mnsc.33.5.589 Bidgoli, 1996, Group decision support system, J. Syst. Manage., 14, 56 Herrera, 1997, Linguistic measures based on fuzzy coincidence for reaching consensus in group decision making, Int. J. Approx. Reason., 16, 309, 10.1016/S0888-613X(96)00121-1 Gass, 1998, A note on synthesizing group decisions, Decis. Support Syst., 22, 59, 10.1016/S0167-9236(96)00061-9 Ramanathan, 1994, Group preference aggregation methods employed in AHP: an evaluation and an intrinsic process for deriving members’ weightages, Eur. J. Oper. Res., 79, 249, 10.1016/0377-2217(94)90356-5 Van den Honert, 2001, Decisional power in group decision making: a note on the allocation of group members’ weights in the multiplicative AHP and SMART, Group Decis. Negotiat., 10, 275, 10.1023/A:1011201501379 Beynon, 2005, A method of aggregation in DS/AHP for group decision-making with the non-equivalent importance of individuals in the group, Comput. Oper. Res., 32, 1881, 10.1016/j.cor.2003.12.004 Turban, 2004, A group decision support approach to evaluating journals, Inform. Manage.-Amst., 42, 31, 10.1016/j.im.2003.12.003 Kim, 1999, Interactive group decision making procedure under incomplete information, Eur. J. Oper. Res., 116, 498, 10.1016/S0377-2217(98)00040-X Saaty, 2003, Decision-making with the AHP: why is the principal eigenvector necessary, Eur. J. Oper. Res., 145, 85, 10.1016/S0377-2217(02)00227-8 Li, 1999, Fuzzy method in group decision making, Comput. Math. Appl., 38, 91, 10.1016/S0898-1221(99)00172-8 Mikhailov, 2004, Group prioritization in the AHP by fuzzy preference programming method, Comput. Oper. Res., 31, 293, 10.1016/S0305-0548(03)00012-1 Pawlak, 1982, Rough sets, Int. J. Comput. Inform. Sci., 11, 341, 10.1007/BF01001956 Pawlak, 1991 Ziarko, 1993, Variable precision rough set model, J. Comput. Syst. Sci., 46, 39, 10.1016/0022-0000(93)90048-2 W. Ziarko, Set approximation quality measures in the variable precision rough set model, in: Proceedings of the Second International Conference on Hybrid Intelligent Systems (HIS’02), Soft Computing Systems, vol. 87, 2002, pp. 442–452. Slezak, 2005, The investigation of the Bayesian rough set model, Int. J. Approx. Reason., 40, 81, 10.1016/j.ijar.2004.11.004 Xie, 2006, Risk avoidance in bidding for software projects based on life cycle management theory, Int. J. Project Manage., 24, 516, 10.1016/j.ijproman.2006.03.004 G. Xie, J.-L. Zhang, K.K. Lai, Using VPRS to mine the significance of risk factors in IT project management, in: Proceedings of the First International Conference on Rough Sets and Knowledge Technology (RSKT 2006), Chongqing, China, 24–26 July, Springer-Verlag, LNAI 4062, 2006, pp. 750–757. G. Xie, J.-L. Zhang, K.K. Lai, A group decision-making model of risk evasion in software project bidding based on VPRS, in: Proceedings of the 10th International Workshop on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC2005), Regina, Canada, 31 August–3 September, Springer-Verlag, LNAI 3642, 2005, pp. 530–538. G. Xie, J.-L. Zhang, K.K. Lai, Web-based risk avoidance group decision support system in software project bidding, in: Proceedings of the WI-IAT 2006 Workshops, The Third International Workshop on Web-Based Support Systems (WSS’06), Hong Kong, China, 18 December, 2006, pp. 180–183. Saaty, 1980 Hayden, 1993, Distance matrices and regular figures, Linear Algebra Appl., 195, 9, 10.1016/0024-3795(93)90253-K Trosset, 2000, Distance matrix completion by numerical optimization, Comput. Optim. Appl., 17, 11, 10.1023/A:1008722907820 Su, 2006, Precision parameter in the variable precision rough sets model: an application, Omega, 34, 149, 10.1016/j.omega.2004.08.005 F. Mafakheri, L. Dai, D. Slezak, F. Nasiri, Selecting the optimal project delivery system: a rough-AHP decision aid, in: 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI’05), Compiegne, France, 2005. Tanaka, 2001, Interval probability and its application to decision problems, FUZZ-IEEE, 952 Tanaka, 2004, Yutaka Maeda: non-additive measures by interval probability functions, Inform. Sci., 164, 209, 10.1016/j.ins.2003.06.001 Yao, 1992, A decision theoretic framework for approximating concepts, Int. J. Man–Machine Studies, 37, 793, 10.1016/0020-7373(92)90069-W