Abstract
In order to standardize public resource trading activities and improve the operating efficiency of public resource trading platforms, this paper conducts research on the performance of public resource trading platforms. A three-level and 28-dimension performance evaluation index system for public resource trading platform is established by considering the four levels of “input-process-output-effect.” Besides, entropy weight method, gray clustering, and fuzzy comprehensive evaluation are integrated on this basis. Entropy weight method is used to determine the index weight, and the degree value of membership for indexes on gray class is determined based on gray clustering method and converted into a matrix. Then, fuzzy comprehensive evaluation method is used to determine the evaluation value and finally carry out the platform performance evaluation, which provides theoretical support for academic researchers to conduct follow-up research on the performance evaluation of public resource trading platforms.
Highlights
E current research methods for performance evaluation mainly involve the combination of entropy weight method and analytic hierarchy process (AHP) combined with empowerment method [5], DEA-Malmquist index analysis method [6], AHP combined with fuzzy comprehensive evaluation method [7], gray clustering [8], and fuzzy comprehensive evaluation method
Many useful explorations have been carried out on the application of gray clustering and fuzzy comprehensive evaluation in performance evaluation. is paper takes the performance evaluation of public resource trading platform as the starting point based on existing research results and uses literature analysis combined with expert consultation to establish performance evaluation index system
Construction Idea for Performance Evaluation Index System of Public Resource Trading Platform. ere are many ways to construct performance evaluation indexes, and one of the most common construction methods is based on mathematical theory. ere are four main steps: Firstly, determine the evaluation target, and the evaluation objects are decomposed according to evaluation objectives and the evaluation element set is established
Summary
Overall questionnaire Platform construction Platform operation Platform service Platform output. In formulas (1)∼(4), v is the initial matrix for performance evaluation of public resource trading platform. R is the performance evaluation standardized matrix of public resource trading platform, and rij is the standardized value scored by the j-th expert on the i-th performance evaluation index. 3. Construction for Performance Evaluation Model of Public Resource Trading Platform. Gray clustering method is used to obtain the triangular whitenization weight function value and comprehensive clustering coefficient of performance indexes at all levels, so as to determine the maximum degree of membership matrix.
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