Multi-criteria Large-group Linguistic Decision-making Approach with Incomplete Certain Information
For large-group multi-criteria decision-making problems with linguistic assessment information, a new method is proposed, in which the criterias weights are incomplete certain, and the decision-makers preference information may takes the form of linguistic grade, or may be between two standard linguistic grade,or may be not given.By using the evidential reasoning algorithm and two-tuple, the criteria values of alternative for each decision-maker are integrated The nonlinear programming model is constructed based on the incomplete certain information on the criteria weights, and distances between alternatives and ideal alternative. And the optimal weights on criteria are gained by using parallel genetic algorithms to solve the nonlinear programming model. The integrating values of alternatives for each decision-maker are computed. By using group coherence, the fuzzy clustering model is constructed. After solving the fuzzy clustering model, the weights of decision-makers are attained. And the ranking of the alternatives is obtained. Finally an example is also given to show the feasibility and availability of this method.
large-group multi-criteria linguistic decision-making evidential reasoning two-tuple group coherence fuzzy clustering
Wang Jian-qiang
School of Business Central South UniversityChangsha 410083China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
2247-2251
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）