一种新的餐厅位置排序协同策略:基于六边形模糊数的决策方法

Kamal Hossain Gazi, S. Mondal, Banashree Chatterjee, Neha Ghorui, Arijit Ghosh, Debashis De
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引用次数: 7

摘要

这项研究解决了餐厅位置排名的问题,并应用于像印度加尔各答这样的国际化大城市。选择餐厅是基于场合、消费能力、环境、位置、舒适度、食物质量等因素。在这篇研究论文中,考虑了一套详尽的因素和子因素,以选择和排名位于人口约1500万的加尔各答市不同地点的餐馆。餐厅的排名取决于复杂的、相互矛盾的定性属性。本文采用六边形模糊数(HFN)来适当地描述不精确的不确定环境。HFN及其距离度量和去模糊化被用于处理决策者的犹豫和不精确。层次分析法(AHP)作为一种多准则决策(MCDM)工具,被广泛应用于因子和子因子权重的确定。TOPSIS和COPRAS方法用于对不同餐厅位置进行排名。通过比较分析表明,采用TOPSIS和COPRAS方法的HFN比其他模糊数的结果更好。灵敏度分析部分也为在不同可能的情况下做出合适的决策提供了方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new synergistic strategy for ranking restaurant locations: A decision-making approach based on the hexagonal fuzzy numbers
This research addresses the problem of restaurant locations ranking with applications for a cosmopolitan big city like Kolkata, India. A restaurant selection is based on occasions, spending capability,  environment, location, comfort, quality of the food etc. In this research paper an exhaustive set of factors and sub-factors is taken into consideration to select and rank restaurants situated at different locations in the city of Kolkata with a population of around fifteen million. The ranking of restaurants depends on complex, conflicting qualitative attributes. In the paper Hexagonal Fuzzy Numbers (HFN) have been used to suitably depict the imprecise uncertain environment. HFN, its distance measure and defuzzification have been applied to deal with the hesitancy and impreciseness of the decision makers. Analytic Hierarchy Process (AHP) has been used as a Multi Criteria Decision Making (MCDM) tool to obtain factors and sub-factors weights. TOPSIS and COPRAS methods were used for ranking different restaurant locations. Using comparative analysis it is shown that HFN with the TOPSIS and COPRAS method gives better result than other fuzzy numbers. The sensitivity analysis portion also gives a direction for taking a suitable decision in different possible scenario.
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