Multi-criterion multi-attribute decision-making for an EOQ model in a hesitant fuzzy environment

Sujit Kumar De , Shib Sankar Sana
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引用次数: 15

Abstract

This article describes an inventory model with several attributes. The primary purpose of an economic order quantity (EOQ) model is to select the best alternative in the face of uncertainty and other considerations. Unlike an intuitionistic fuzzy set (IFS), a hesitant fuzzy set (HFS) has an emergent implication in current decision-making problems. A membership function class is assumed, and a hesitant fuzzy decision matrix with elements that are membership grades is constructed. Using these values, the scores are derived with the help of hesitant fuzzy weighted geometric (HFWG), hesitant fuzzy geometric (HFG), hesitant fuzzy Einstein weighted geometric (HFEWG) and hesitant fuzzy Einstein ordered weighted geometric (HFEOWG) operators. Finally, a decision is made using the scores of each alternative.

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犹豫模糊环境下EOQ模型的多准则多属性决策
本文描述了一个具有几个属性的库存模型。经济订货量(EOQ)模型的主要目的是在面对不确定性和其他考虑因素时选择最佳方案。与直觉模糊集(IFS)不同,犹豫模糊集(HFS)在当前决策问题中具有紧急意义。假设一个隶属函数类,构造一个以隶属度等级为元素的犹豫模糊决策矩阵。利用这些值,利用犹豫模糊加权几何(HFWG)、犹豫模糊几何(HFG)、犹豫模糊爱因斯坦加权几何(HFEWG)和犹豫模糊爱因斯坦有序加权几何(HFEOWG)算子推导得分。最后,根据每个选项的分数做出决定。
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