一种基于部分方案偏好强度的多属性决策方法

Multi-attribute Decision Making in View of Degree of Preference for Part of Alternatives

在多属性决策的一些问题中,直接对属性进行赋权是相当困难的,此时决策者偏向于给出部分方案的偏好信息.研究了如何运用部分方案偏好信息进行决策的方法,其基本过程是运用G1-法的原理将决策者提供的语言信息转化为数值信息,在此基础上构建基于"贴近思想"的规划模型,求解模型便可获得该决策思想下最优的属性权重.该方法运用简便,体现了将决策者的"直觉决策"与"科学决策"进行融合的特点.用算例验证了方法的有效性.

During multi-attribute decision making attributes, and decision makers therefore prefer , it is difficult to assign weights directly for all offering the relevant information for part of altematives. How to use partly the altemative preference information to make decision is studied, of which the basic process is to use Gl-method to convert the language information into data information. Then, a programming model is developed to approach the idea about decision and, by solving the model, the optimum weights are obtained. The method is very simple to use and embodies the integration of instinctive decision making with scientific decision making. An example is given to illustrate the effectiveness of the proposed method.