CAJ | 학술논문

供应商优选是供应链协同管理和供应链竞争力的内在要求。对定性指标采用梯形模糊数处理，并对所有指标进行分类预处理，实现无量纲化并避免设计隶属度函数；构建模糊互补矩阵时对定性指标采用两两比较法，对定量指标采用模糊一致判断矩阵元素与权重之关系式，以提高定量指标数据的区分精度；从而，构建基于梯形模糊数及模糊一致矩阵的协同供应商模糊综合评价方法。案例计算表明，该评价方法对定性指标和定量指标的处理技术更加科学客观，比传统模糊评价方法更合理，能为供应链协同管理中供应商选择提供科学的决策支持。
공응상우선시공응련협동관리화공응련경쟁력적내재요구。대정성지표채용제형모호수처리，병대소유지표진행분류예처리，실현무량강화병피면설계대속도함수；구건모호호보구진시대정성지표채용량량비교법，대정량지표채용모호일치판단구진원소여권중지관계식，이제고정량지표수거적구분정도；종이，구건기우제형모호수급모호일치구진적협동공응상모호종합평개방법。안례계산표명，해평개방법대정성지표화정량지표적처리기술경가과학객관，비전통모호평개방법경합리，능위공응련협동관리중공응상선택제공과학적결책지지。
Optimal supplier selection is the inherent requirement for supply chain collaborative management and supply chain competitiveness. Trapezoidal fuzzy number is applied to pre-process qualitative indexes so as to pre-process all indexes based on classification, realizing nondimensionalization and avoiding designing membership function. Pair-wise comparison is utilized to obtain the matrix of preferential relationship for qualitative indexes so that the quantitative relationship between the element of fuzzy consistent judgment matrix and corresponding weights for quantitative indexes that improve data distinguishes accuracy between quantitative indexes. A fuzzy comprehensive evaluation method is then proposed for collaborative suppliers enterprises based on trapezoidal fuzzy numbers and fuzzy consistent matrix. Case study shows that the processing techniques for qualitative and quantitative indexes is more scientific and objective, and more reasonable than the traditional fuzzy evaluation method. The fuzzy evaluation method provides scientific decision support for supplier enterprise selection aiming at the supply chain collaborative management.