Fuzzy Analytic Hierarchy Process FEAHP to Prioritize The Evaluation of The Main and Subsidiary Criteria in B2B Industrial Market Sectors – Applied Research

Authors

  • Yasir N. Basheer
  • Harith Y. Maan

DOI:

https://doi.org/10.33095/jeas.v26i124.2052

Keywords:

استهداف السوق الصناعي، التحليل الهرمي الضبابي الموسع FEAHP، تجزئة السوق الصناعي ., Industrial market targeting، Fuzzy extended analytic hierarchy process (FEAHP), Industrial market segmentation.

Abstract

The research aims to define the main and subsidiary criteria for evaluating the industrial market sectors and proposing a model for arranging these criteria according to priority and knowing the highest criteria in terms of relative importance in the General Company for Automobile Trade and Machinery, and for the purpose of establishing this model, experiences in the concerned company were approved, and this study proposes a multi-criteria decision model According to the FEAHP, the expanded fuzzy hierarchical analysis method enables the commercial company to develop clear strategic policies on which the company’s management system depends on determining criteria for evaluating and selecting market sectors and making appropriate decisions in determining priority criteria towards achieving the company's goals and requirements, and the main results prove the efficiency of the proposed model in determining importance The relative quality and advantage of the sub-criterion is the quality and advantage of competition in the first place among the 22 sub-criteria, being the criteria that meets the requirements of the company and meets the requirements of its markets according to the results of the applied methodology within that criteria.

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Published

2020-12-01

Issue

Section

Statistical Researches

How to Cite

N. Basheer, Y. and Y. Maan, H. (2020) “Fuzzy Analytic Hierarchy Process FEAHP to Prioritize The Evaluation of The Main and Subsidiary Criteria in B2B Industrial Market Sectors – Applied Research”, Journal of Economics and Administrative Sciences, 26(124), pp. 460–480. doi:10.33095/jeas.v26i124.2052.

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