Abstract:It is increasingly necessary to evaluate the customers' credit. In the era of big data, Information on the Internet is commonly used to judge the credit worthiness of customers. Some users' credit information is incomplete or unavailable, so credit managers cannot judge the true credit situation of these users. However, with the support of social data especially behavioural data and credit evaluation system, this problem can be effectively solved. This study used Weibo to obtain the behavioural data of Chinese… Show more
“…This method also enables the estimation whether there is contradiction between the subjective judgments of a problem, which is an effective way to describe the decision maker's judgment objectively. [19] Apart from its simplicity, the conventional AHP method shows certain weaknesses, which limit its application in situations when there is any indefiniteness whatsoever in the data about the problem that is being considered [20], also it cannot reflect the human way of thinking due to the imprecision and vagueness of human perceptions. In order to rationalize the uncertainty accompanying the decision-making process, it is necessary that new approaches to dealing with uncertainty within the conventional AHP process, such as fuzzy Set Theory, should be incorporated.…”
Selection of adequate power transformers is among the most important factors for ensuring well-operated and optimized power generation and distribution systems, which imposes the need for applying optimization methods in order to obtain comprehensive evaluation process. In the paper, a multi-criteria group decision-making supportive model for the power transformer evaluation is proposed; the model is based on integration of the Analytic Hierarchy Process (AHP) and the compromise ranking method with fuzzy Set Theory. The AHP method was utilized in order to estimate the criteria relative weights, whereas the compromise ranking method was used for alternative assessment and compromise ranking. Integration of the fuzzy logic within the proposed model allows dealing with problem of the ambiguities of human perceptions and provides more rational results. A numerical example illustrates the proposed methodology on the real MCDM problem of power transformers selection.
“…This method also enables the estimation whether there is contradiction between the subjective judgments of a problem, which is an effective way to describe the decision maker's judgment objectively. [19] Apart from its simplicity, the conventional AHP method shows certain weaknesses, which limit its application in situations when there is any indefiniteness whatsoever in the data about the problem that is being considered [20], also it cannot reflect the human way of thinking due to the imprecision and vagueness of human perceptions. In order to rationalize the uncertainty accompanying the decision-making process, it is necessary that new approaches to dealing with uncertainty within the conventional AHP process, such as fuzzy Set Theory, should be incorporated.…”
Selection of adequate power transformers is among the most important factors for ensuring well-operated and optimized power generation and distribution systems, which imposes the need for applying optimization methods in order to obtain comprehensive evaluation process. In the paper, a multi-criteria group decision-making supportive model for the power transformer evaluation is proposed; the model is based on integration of the Analytic Hierarchy Process (AHP) and the compromise ranking method with fuzzy Set Theory. The AHP method was utilized in order to estimate the criteria relative weights, whereas the compromise ranking method was used for alternative assessment and compromise ranking. Integration of the fuzzy logic within the proposed model allows dealing with problem of the ambiguities of human perceptions and provides more rational results. A numerical example illustrates the proposed methodology on the real MCDM problem of power transformers selection.
“…Zeliha and Girginer (2015) applies AHP to determine the weight of the criteria named bank's commercial credit applications evaluation. Yu et al (2019) employed AHP and fuzzy comprehensive evaluation methods to calculate the personal credit scores. Ferreira and Santos (2016) analysed the credit risk of mortgage loans, and considered that AHP is the overall excellent approach.…”
Section: Strengths and Weaknesses Of The Ahpmentioning
Quality credit has attracted considerable interest in both academia and business world in recent years in China. This study aims to discuss the development of quality credit evaluation system, and then based on an Analytic Hierarchy Process (AHP) to construct an evaluation system for Internet companies. Firstly, the quality credit evaluation three-level pyramid model for Internet companies has been established, including the willingness of quality credit, the ability of quality credit, and the basis of quality credit. Secondly, priorities of the criteria and sub-criteria are assigned and identified by the AHP with 12 experts those who are representatives from Internet companies, research experts, and government staffs. Finally, several US Internet companies are evaluated by using this evaluation system, and practical suggestions are provided for the future based on data evaluation results. This paper finds that in the criteria of quality credit evaluation system, the most significant indicators are credit records and quality of product, while qualification rate of product supervise, operating legitimacy and quality accident are the most primary indicators in the sub-criteria level.
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