【摘要】 对于模糊环境下的评估,存在固有的不确定性和不精确性信息比较的情况。在AHP的框架下,提供了指标权重和偏好值语言信息并用三角模糊数来描述,构造语言决策矩阵并进行模糊化。根据理想近似方法,通过计算到正理想解和负理想解的距离求出每个方案的贴近系数,得出候选者的评估顺序,并举例说明了应用这个方法的计算过程。更多还原

【Abstract】 There is inherent uncertainty and imprecision of the pairwise comparison process under fuzzy evaluation environment. First- ly, in the analytic hierarchy process the linguistic information on index weights and performance values are provided and presented as triangular fuzzy number. Secondly, the linguistic decision- making matrices are constructed and fuzzified. Then, TOPSIS is used to calculate a closeness coefficient of each alternative by calculating the distance to both the fuzzy positive- ideal solution and fuzzy neg- ative- ideal solution and the ranking order of all alternatives is obtained. Finally, an example is shown to illustrate the application of this approach.更多还原