A Fuzzy Ranking Model to Performance Assessment of Cooperative Companies Cover Image

A Fuzzy Ranking Model to Performance Assessment of Cooperative Companies
A Fuzzy Ranking Model to Performance Assessment of Cooperative Companies

Author(s): Amir Jamshidnezhad, Faezeh Bagherzadeh
Subject(s): Economy, Business Economy / Management
Published by: ASERS Publishing
Keywords: performance assessment tools; performance indicators; cooperative companies; fuzzy decision systems; EFQM method;

Summary/Abstract: Performance assessment is used to identify the best companies and to present the effective solutions for the purpose of improving performance of cooperative companies. Thus, improving the assessment tools enhance the performance rank of the cooperative companies. In this study, a fuzzy model based on Sogno-Mamdani inference system was proposed to evaluate the performance of cooperative companies. In the proposed fuzzy rule based model, the knowledge base was created using a questionnaire tool to collect the experts’ knowledge in terms of the coefficient of performance assessment indicators in the cooperative companies. Then, the proposed weighting method was used to find the rules in the fuzzy inference system. Moreover, an Indicator Ranking Method based on the EFQM method was used to find the best indicators effectively improve the company performance. The results of study showed that in the proposed performance assessment model, trade indicators and social responsibility are much important compared to the conventional models in the performance assessment of cooperative companies. Moreover, education is the most effective indicator to enhance the performance of cooperative companies.

  • Issue Year: XII/2017
  • Issue No: 54
  • Page Range: 2388-2398
  • Page Count: 10
  • Language: English