决策分析中两种模糊综合评价模型的应用  

Application of Two Kinds of Fuzzy Comprehensive Evaluation Models in Decision Analysis

作　　者：吴迎学[1] 陈洁余[1] 庞燕 

机构地区：[1]中南林业科技大学交通运输工程学院,湖南长沙410004 [2]长沙中南物流工程技术研究所,湖南长沙410004

出　　处：《中南林学院学报》2006年第6期81-87,共7页Journal of Central South Forestry University

摘　　要：模糊综合评价是决策分析中常用的方法,在不同的情况中应该采用不同的模型进行综合评价.介绍了两种评价模型.它们在出发点、建立方法、评价内容和实现过程上各不相同,各有千秋.相对模糊综合评价建模简单,运算方便,但不能确定方案本身的优劣程度.而多级模糊综合评价能区分影响因素的层次,降低了权重分配的难度,能判断出方案本身的好坏,但建模相对复杂,运算工作量大,隶属度构建复杂.Fuzzy comprehensive evaluation （FCE） is being commonly used in decision analyses ; different models of FCE ought to be used in different situations. The paper introduces two kinds of models of FCE which have characteristics and advantages in such aspects as standpoints, methods of building models, evaluation contents and realization processes. Although they do not differentiate a scheme superior or inferior in itself, the relative model of FCE has advantages that the model building is easy and data operation is simple while the multi-class model of FCE can distinguish the affecting degrees of evaluation scheme factors, lessen the difficulty of weight distribution and judge a scheme as good or bad in itself. Yet the latter model is complicated in construction, tremendous in calculation and complex in the building of subjection degrees.

关 键 词：模糊综合评价 层次分析法 决策 

分 类 号：O159[理学—数学]