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In this paper, two improved MCDM models including Analytic Hierarchy Process (AHP) for group decision-making and revised TOPSIS model are applied for credit risk evaluation. The index weight is determined by AHP for group decision-making, which can establish the decision matrix with less subjective judgments and improve the accuracy of index weight. In the revised TOPSIS method, gray relational degree...
Various methods and algorithms have been developed for multiclass classification problems in recent years. How to select an effective algorithm for a multiclass classification task is an important yet difficult issue. Since the multiclass algorithm selection normally involves more than one criterion, such as accuracy and computation time, the selection process can be modeled as a multiple criteria...
With the rapid development of urbanization, urban environmental problems become a big challenge for urban socio‐economic development planning. In this paper, a new Dynamic Assessment method, which integrates technique for order preference by similarity to ideal solution, Entropy weight for time series data analysis, Grey relational analysis and Clustering, is proposed for urban eco‐environmental quality...
Nowadays, with increasingly intense competition in the market, major banks pay more attention on customer relationship management. A real-time and effective credit card holders' churn analysis is important and helpful for bankers to maintain credit card holders. In this research we apply 12 classification algorithms in a real-life credit card holders' behaviors dataset from a major commercial bank...
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