基于方案贴近度和满意度的交互式不确定多属性决策方法

针对属性权重信息部分确知且对方案有偏好的不确定多属性决策问题,提出一种基于方案贴近度和满意度的交互式决策方法.方法首先利用已知的客观信息和决策者的主观要求建立单目标规划模型,其次通过对方案满意度和综合度的给定与修正来实现人机交互决策.最后,通过实例说明模型及方法的可行性和有效性.

Interactive Method Based on Similarity Degree and Satisfactory Degree of Alternative for Uncertain Multi-attribute Decision-making

With regard to the uncertain multi-attribute decision making problems, in which the information about attribute weights is known partly and the decision maker has preference information on alternatives, an interactive method based on similarity degree and satisfactory degree of alternative is proposed. The method firstly utilizes the objective information of alternatives and the subjective requirements provided by the decision maker to establish single-objective programming models. Secondly, the process of interactive decision making can be implemented by giving and revising the similarity degree and satisfactory degree of alternative. Finally, a practical example is illustrated to show the feasibility and availability of the developed method.