新鲜
发表于 2025-3-25 06:52:40
Schiffbautechnische Gesellschaftdes. Almost all financial organizations, such as banks, credit institutions, clients, etc., need this kind of information for some firms in which they have an interest of any kind. However, business credit risk management is not an easy thing because business credit risk management is a very complex
moratorium
发表于 2025-3-25 10:34:19
Das Raumfestigkeitsproblem im Schiffbausolving a financial MCDM problem, by introducing some intelligent agents as decision-makers. Compared with traditional GDM methods, our proposed multicriteria fuzzy GDM model has five distinct features. First of all, intelligent agents, instead of human experts, are used as decisionmakers (DMs), thu
争议的苹果
发表于 2025-3-25 15:18:07
https://doi.org/10.1007/978-3-540-77803-5Bio-Inspired Computing; Computational Intelligence; Credit Risk Analysis; Credit Scoring; Ensembl; Suppor
欲望
发表于 2025-3-25 19:28:12
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Nomadic
发表于 2025-3-25 22:17:10
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戏法
发表于 2025-3-26 00:20:12
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甜食
发表于 2025-3-26 07:03:06
Credit Risk Analysis with Computational Intelligence: A Reviewuch a large credit market to averse the credit risk. Therefore, an effective credit risk analysis model has been a crucial factor because an effective credit risk analysis technique would be transformed into significant future savings..The remainder of this chapter is organized as follows. In next s
罗盘
发表于 2025-3-26 09:17:59
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不吉祥的女人
发表于 2025-3-26 14:34:24
Credit Risk Evaluation Using SVM with Direct Search for Parameter Selectionows. In Section 3.2, the LSSVM and DS methodology are described briefly. Section 3.3 presents a computational experiment to demonstrate the effectiveness and efficiency of the model and simultaneously we compared the performance between the DS and DOE, GA, and GS methods. Section 3.4 gives concludin
Radiation
发表于 2025-3-26 20:30:34
Hybridizing Rough Sets and SVM for Credit Risk Evaluationiculty of extracting rules from a training support vector machine and possess the robustness which is lacking for rough set based approaches. To illustrate the effectiveness of the proposed system, two publicly credit datasets including both consumer and corporation credits are used..The rest of the