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A ranking procedure of Murabahah applications using fuzzy inferior ratio with generalized fuzzy numbers

机译:利用具有广义模糊数的模糊劣势比例的Murabahah应用的排名程序

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Murabahah is an Islamic financial tool of a purchase and a sale of an asset where the purchase price, selling price and profit margin must be clearly made transparent between the seller and the purchaser. The evaluation process for selecting successful credit worthy applicants is crucial to mitigating risks against probable payment default in the future where such risk can fall under a credit risk taxonomy. Payment default under Murabahah financing has become an increasing concern for Islamic banks due to the potential inability of the respective banks to impose additional charges post execution of Murabahah contract. Hence, an effective evaluation technique in minimizing the default risks is essential. The assessment of applications is usually made by human and subjective evaluation will be involved due to different and varying levels of knowledge, experience and confidence of the evaluators. This justifies a fuzzy method as a suitable approach to be adopted. In this paper, a Fuzzy Inferior Ratio (FIR) procedure using generalized fuzzy numbers is proposed to be used for such evaluation of Murabahah applications. The level of confidence of the evaluators shall be represented in the form of generalized fuzzy numbers, and the compromise solution by FIR will be offered. The existing FIR and the modified FIR are compared with and analyzed to determine consistency of the ranking of the applicants. The proposed method has an advantage over the original FIR as the former does incorporate the element of the confidence level of the decision makers in the calculation to determine the rank of the successful applicants whereas the latter may not.
机译:Murabahah是一种购买的伊斯兰金融工具,销售的资产,在卖方和购买者之间必须明确透明地透明。选择成功的信贷有价值的申请人的评估过程对于减轻可能的违约风险,在未来可能会在信用风险分类下造成这种风险。由于各自银行潜在潜在的额外费用,Murabahah融资下,Murabahah融资下的违约已成为伊斯兰银行的越来越令人担忧。因此,最小化默认风险的有效评估技术至关重要。申请的评估通常是由于人类和主观评估所取得的涉及,因为对评估者的知识,经验和信心的不同和不同的程度。这证明了一种模糊方法作为一种合适的方法。在本文中,提出了一种使用广义模糊数的模糊劣势(FIR)程序用于Murabahah应用的这种评估。评估员的信心水平应以广义模糊数的形式表示,并提供杉木的妥协解决方案。将现有的FIR和修改的冷杉与分析进行比较,以确定申请人排名的一致性。所提出的方法具有在原始冷杉上的优势,因为前者将决策者的置信水平的元素结合在计算中,以确定成功申请人的等级,而后者可能不会。

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