Designing Vendor Selection System Using Intuitionistic Fuzzy TOPSIS and Entropy Weighting Method in Oil and Gas Industry

Proceedings of the 2021 International Conference on Engineering and Information Technology for Sustainable Industry Pub Date : 2020-09-28 DOI:10.1145/3429789.3429842

Silmi Kaaffah, A. Ridwan, Nia Novitasari

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引用次数: 2

Abstract

Selecting appropriate vendor or supplier becomes one of the most important activity of purchasing function taken by decision makers that affect their supply chain operations. Various criteria that needs to be taken into consideration in choosing one feasible vendor amongst many options make this more complicated. In this study, the theory of intuitionistic fuzzy set combined with TOPSIS is used to overcome problems related to multiple criteria decisions making (MCDM). This method helps to quantify and overcome the fuzziness caused by expert judgement in assessing both criteria and alternatives. Shannon's entropy concept is also employed for weighting the criteria weight to prevent the inconsistency occur due to a large number of criteria taken into consideration. The result of this study is demonstration of intuitionistic fuzzy TOPSIS method that is combined with entropy weighting for selecting vendor in an upstream oil and gas industry to ease the process of decision making done by decision makers objectively, accurately, and speedy.

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基于直觉模糊TOPSIS和熵权法的油气行业供应商选择系统设计

选择合适的厂商或供应商成为影响其供应链运作的决策者所采取的最重要的采购职能活动之一。在众多选择中选择一个可行的供应商时，需要考虑的各种标准使这变得更加复杂。本研究将直觉模糊集理论与TOPSIS相结合，用于解决多准则决策(MCDM)问题。该方法有助于量化和克服专家判断在评估标准和备选方案时造成的模糊性。在对标准权重进行加权时，还采用了香农熵的概念，以防止由于考虑的标准过多而产生的不一致。研究结果表明，将直觉模糊TOPSIS法与熵权法相结合用于油气上游行业供应商选择，可使决策者客观、准确、快速地进行决策。

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Proceedings of the 2021 International Conference on Engineering and Information Technology for Sustainable Industry

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