Application of the fuzzy sets theory in the problem of products competitiveness evaluation

A. Kostikova, S. Kuznetsov, P. Tereliansky
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Abstract

The article considers an example of using the tools of fuzzy sets theory in the problem of studying competitiveness of goods and firms. The competitiveness of goods has been defined through their utility in both subjective and objective manifestations. The transformation of utility indicators value from the simplest scales to the scale of equal relations has been carried out through the graphical membership functions. The general model of multi-criteria choice of optimal alternatives based on the intersection of fuzzy sets has been defined. The construction method and non-dominant alternatives set analysis on the basis of fuzzy preference relation has been considered. The problem of ranking alternatives, that are complex technical devices, considering several comparison criteria, some of which are qualitative, has been assessed by dimensionless scales with expert evaluations. Weighting coefficients have been determined for all criteria, alternatives functions belonging to the subset of optimal and matrices of fuzzy preference relations constructed, and a subset of non-dominant alternatives formed. The optimal alternative has been determined by the maximum value of subset elements. Calculation results can be used for further informed decision making in the absence of clear numerical data and presence of weakly formalized expert statements. Thus, the effectiveness and practicality of applying fuzzy sets methodology in ranking problems and optimal choice of alternatives has been shown.
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模糊集理论在产品竞争力评价中的应用
本文考虑了一个应用模糊集理论工具研究商品和企业竞争力问题的实例。商品的竞争力是通过其主观和客观表现的效用来定义的。通过图形隶属度函数实现了效用指标值从最简单尺度向相等关系尺度的转换。定义了基于模糊集相交的多准则最优方案选择的一般模型。考虑了基于模糊偏好关系的构建方法和非优势选择集分析。考虑到若干比较标准(其中一些是定性的),采用无量纲量表和专家评价对复杂的技术装置进行排序问题进行了评估。确定了各准则的权重系数,构造了属于最优子集的选择函数和模糊偏好关系矩阵,形成了非优势选择子集。最优方案由子集元素的最大值确定。在缺乏明确的数值数据和弱形式化专家陈述的情况下,计算结果可用于进一步明智的决策。从而表明了模糊集方法在排序问题和备选方案最优选择中的有效性和实用性。
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来源期刊
自引率
0.00%
发文量
50
审稿时长
8 weeks
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