CAJ | 학술논문

研究了模糊决策环境下群体评价意见的合成问题.应用距离函数来计算两个梯形模糊数之间的相似性函数,使得相似性函数的应用范围得到拓展.基于熵来度量个体与群体的一致性,建立了群体决策的熵模型,减少了群体的不确定性.利用此模型对专家的初始主观权重进行迭代运算得到修正权重,再把初始主观权重和修正权重线性合成作为专家的综合权重.最后,通过算例说明了该方法的可行性和有效性.
연구료모호결책배경하군체평개의견적합성문제.응용거리함수래계산량개제형모호수지간적상사성함수,사득상사성함수적응용범위득도탁전.기우적래도량개체여군체적일치성,건립료군체결책적적모형,감소료군체적불학정성.이용차모형대전가적초시주관권중진행질대운산득도수정권중,재파초시주관권중화수정권중선성합성작위전가적종합권중.최후,통과산례설명료해방법적가행성화유효성.
The aim of this paper is to deal with the aggregating problem of group evaluation under fuzzy preference. A new similarity measuring function that is situated between two trapezoidal fuzzy numbers is computed by using distance functions, which makes its applied scope expand. The unanimity between individual and group is measured by utilizing entropy, a group entropy model is established and the uncertainty of the group is reduced. With the aid of the model, the expert's original weight is modified to a revised weight by an iterative procedure, and then the expert's integrative weight is linear synthesized by original weight and revised weight. Finally, an example is applied to demonstrate the practicability and validity of this approach.