云五边形模糊需求下经济订货量成本分析的一种去模糊化新方法

Q3 Computer Science

International Journal of Fuzzy System Applications Pub Date : 2022-01-01 DOI:10.4018/ijfsa.297027

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引用次数: 0

摘要

本文研究了一个五边形密集模糊集，并提出了一种基于切的五边形密集模糊集去模糊化方法。然后，通过考虑经济订货量模型，将所提出的概念应用于库存管理领域。为了理解EOQ模型的不确定性，采用了五边形模糊数。在PDFS的基础上，定义了云五边形模糊数，并以需求为模糊数建立了云五边形模糊数模型。正在对所开发的模型进行数值和图形测试，以了解CPFN概念的意义。进行敏感性分析以确定最关键的参数。通过对比分析，找出模型之间的差异。

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A New Defuzzification Method for Cost Analysis of Economic Order Quantity under Cloud Pentagonal Fuzzy Demand

The present research work explores a pentagonal dense fuzzy set (PDFS) and a novel defuzzification method for the same based on cut. The proposed concept is then applied in the field of inventory management by considering an economic order quantity (EOQ) model. To comprehend the uncertainty associated with the EOQ model, a pentagonal fuzzy number is utilized. Based on PDFS, cloud pentagonal fuzzy number (CPFN) is defined and the model is developed by considering demand as CPFN. The developed models are being tested numerically and graphically to understand the significance of the concept of CPFN. Sensitivity analysis is performed to identify the most critical parameters. A comparative analysis is made to figure out the difference between the models.

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来源期刊

International Journal of Fuzzy System Applications Computer Science-Computer Science (all)

CiteScore

2.40

自引率

0.00%

发文量