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A hybrid fuzzy multiple criteria decision making (MCDM) approach to combination of materials selection

机译:材料选择组合的混合模糊多准则决策(MCDM)方法

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The selection of the appropriate combination of materials for a manufacturing company is one of the important points to achieving high competitiveness in the market. Besides, an appropriate choice of materials is very important as it helps to reach optimum production rate and efficiency. Today’s market offers many more choices for materials alternatives. There are also many factors one should consider as part of the appropriate combination of materials selection process, including productivity, wastage, cost, style, etc., consequently, evaluation procedures involve several objectives and it is often necessary to compromise among possibly conflicting tangible and intangible factors. For dealing with these problems, multiple criteria decision making (MCDM) has been found to be a useful approach to solve this kind of problem. Most of the MCDM models are basically mathematical and disregard qualitative and subjective considerations. The application of fuzzy set theory allows incorporating the vague and imprecise linguistic terms and qualitative information into the decision process. This paper devises a fuzzy hybrid analytical hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) approach to the problem of thesis subject selection. Fuzzy AHP is used to formulate and calculate the weight of each criterion, and fuzzy TOPSIS is proposed to prioritize combination material alternatives from the best to the worst ones. A case study on Kaach Company was put forward to illustrate the performance of the proposed methodology.
机译:为制造公司选择合适的材料组合是在市场上获得高竞争力的重要点之一。此外,适当的材料选择非常重要,因为它有助于达到最佳的生产率和效率。当今市场提供了更多替代材料的选择。作为材料选择过程的适当组合的一部分,还应考虑许多因素,包括生产率,浪费,成本,样式等。因此,评估程序涉及多个目标,通常有必要在可能相互冲突的有形和有形之间进行折中。无形因素。为了解决这些问题,已发现多准则决策(MCDM)是解决此类问题的有用方法。大多数MCDM模型基本上都是数学模型,不考虑定性和主观考虑。模糊集理论的应用允许将模糊和不精确的语言术语和定性信息纳入决策过程。针对论文主题选择问题,设计了一种与理想解相似性的模糊混合层次分析法和顺序偏好技术。使用模糊层次分析法来制定和计算每个准则的权重,并提出了模糊TOPSIS来确定从最佳材料到最差材料的替代材料的优先级。提出了关于Kaach公司的案例研究,以说明所提出方法的性能。

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