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Supplier evaluation and categorize with combine Fuzzy Dematel and Fuzzy Inference System

机译:结合模糊半定量和模糊推理系统对供应商进行评估和分类

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摘要

Nowadays, the evaluation of the suppliers in order to improve the total performance of supply chain and increase the power of competitiveness, satisfaction and profitability of the company are considered important and significant issues at the organizations. The main objective of this research is to help oil and gas industry in order to evaluate and categorize the suppliers, using Fuzzy Inference System. The present research is empirical in terms of purpose and descriptive-survey in terms of data collection. Three outstanding managers of procurement department of the company under examination have been selected. With regard to the fact that, the number of identified Sub-indices to categorize the suppliers are too many in relevant literature, the Fuzzy Dematel method was used to determine the weight and importance of each of the Sub-indices suppliers. In the present paper, for evaluate and categorize the suppliers has been used from Fuzzy Inference System, with MATLAB Software.
机译:如今,对供应商进行评估以改善供应链的整体绩效并提高公司的竞争力,满意度和获利能力是组织中的重要问题。本研究的主要目的是使用模糊推理系统帮助石油和天然气行业对供应商进行评估和分类。在目的和数据收集方面的描述性调查方面,本研究是经验性的。已选出三名受审查公司采购部门的优秀经理。关于在相关文献中已识别出的用于分类供应商的子索引的数量过多这一事实,使用模糊Dematel方法确定每个子索引供应商的权重和重要性。在本文中,用于评估和分类的供应商已被用于带有MATLAB软件的Fuzzy Inference System中。

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