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Two-level fuzzy evaluation for classification of credits
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WANG Qiong, CHEN Jin-xian. Two-level fuzzy evaluation for classification of credits[J]. Journal of Zhejiang University Science A, 2002, 3(3): 311-314.
@article{title="Two-level fuzzy evaluation for classification of credits",
author="WANG Qiong, CHEN Jin-xian",
journal="Journal of Zhejiang University Science A",
volume="3",
number="3",
pages="311-314",
year="2002",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2002.0311"
}
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%J Journal of Zhejiang University SCIENCE A
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%DOI 10.1631/jzus.2002.0311
TY - JOUR
T1 - Two-level fuzzy evaluation for classification of credits
A1 - WANG Qiong
A1 - CHEN Jin-xian
J0 - Journal of Zhejiang University Science A
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2002.0311
Abstract: In this paper, classification models are used as tools to make final decision. fuzzy method provides the mathematical tools for quantitative analysis and dealing with ambiguous concepts. Analytic Hierarchy Process (AHP) is used to obtain the weight of each index and enables examiners to visualize the decision process and obtain more reasonable evaluation values to solve some problems. An example is given at the end of this paper.
[1] Cao Xibin, Cai Ligang, Li Peigen, 2000. Two-level multi-factorial evaluation of alternative process plans. Theory and Ppractice of Systems Eengineering, 6: 27-31(in Chinese).
[2] Kamal, M., Al-Subhi, Al-Harbi, 2001. Application of the AHP in project manage. International Journal of Project Management, 19: 19-27.
[3] Mikko Kurttila, Mauno Pesonen, Jyrki Kangas, Miika Kajanus, 2000. Utilizing the analytic hierarchy process (AHP) in SWOT analysisa hybrid method and its application to a forest-certification case. Forest Policy and Economics, 1: 41-52.
[4] Shan Feng, Li, D. X., 1999. Decision support for fuzzy comprehensive evaluation of urban development. Fuzzy Sets and Systems, 105: 1-12.
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