Study and application of credit scoring models to appraisal of the loan to Chinese companies with uncertain linguistic information

Lu Han; Liyan Han; Hongwei Zhao

doi:10.4156/ijact.vol4.issue6.5

Study and application of credit scoring models to appraisal of the loan to Chinese companies with uncertain linguistic information

Lu Han^*
, Liyan Han^*
, Hongwei Zhao

^*Corresponding author for this work

School of Economics and Management

Beihang University

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

The problem for studying and application of credit scoring models to appraisal of the loan to Chinese companies with uncertain linguistic information is the multiple attribute decision making (MADM) problems. In this paper, we investigate the multiple attribute decision making (MADM) problems for studying and application of credit scoring models to appraisal of the loan to Chinese companies with uncertain linguistic information. We utilize the WC-LOWA operator to aggregate the uncertain linguistic information corresponding to each alternative and get the overall value of the alternatives, then rank the alternatives and select the most desirable one(s). Finally, an illustrative example for ability for studying and application of credit scoring models to appraisal of the loan to Chinese companies with uncertain linguistic information is given.

Original language	English
Pages (from-to)	43-49
Number of pages	7
Journal	International Journal of Advancements in Computing Technology
Volume	4
Issue number	6
DOIs	https://doi.org/10.4156/ijact.vol4.issue6.5
State	Published - Apr 2012

Keywords

Credit scoring models
Multiple attribute decision making (MADM)
Uncertain linguistic variables
WC-LOWA operator

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10.4156/ijact.vol4.issue6.5

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title = "Study and application of credit scoring models to appraisal of the loan to Chinese companies with uncertain linguistic information",

abstract = "The problem for studying and application of credit scoring models to appraisal of the loan to Chinese companies with uncertain linguistic information is the multiple attribute decision making (MADM) problems. In this paper, we investigate the multiple attribute decision making (MADM) problems for studying and application of credit scoring models to appraisal of the loan to Chinese companies with uncertain linguistic information. We utilize the WC-LOWA operator to aggregate the uncertain linguistic information corresponding to each alternative and get the overall value of the alternatives, then rank the alternatives and select the most desirable one(s). Finally, an illustrative example for ability for studying and application of credit scoring models to appraisal of the loan to Chinese companies with uncertain linguistic information is given.",

keywords = "Credit scoring models, Multiple attribute decision making (MADM), Uncertain linguistic variables, WC-LOWA operator",

author = "Lu Han and Liyan Han and Hongwei Zhao",

year = "2012",

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doi = "10.4156/ijact.vol4.issue6.5",

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AU - Han, Lu

AU - Han, Liyan

AU - Zhao, Hongwei

PY - 2012/4

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N2 - The problem for studying and application of credit scoring models to appraisal of the loan to Chinese companies with uncertain linguistic information is the multiple attribute decision making (MADM) problems. In this paper, we investigate the multiple attribute decision making (MADM) problems for studying and application of credit scoring models to appraisal of the loan to Chinese companies with uncertain linguistic information. We utilize the WC-LOWA operator to aggregate the uncertain linguistic information corresponding to each alternative and get the overall value of the alternatives, then rank the alternatives and select the most desirable one(s). Finally, an illustrative example for ability for studying and application of credit scoring models to appraisal of the loan to Chinese companies with uncertain linguistic information is given.

AB - The problem for studying and application of credit scoring models to appraisal of the loan to Chinese companies with uncertain linguistic information is the multiple attribute decision making (MADM) problems. In this paper, we investigate the multiple attribute decision making (MADM) problems for studying and application of credit scoring models to appraisal of the loan to Chinese companies with uncertain linguistic information. We utilize the WC-LOWA operator to aggregate the uncertain linguistic information corresponding to each alternative and get the overall value of the alternatives, then rank the alternatives and select the most desirable one(s). Finally, an illustrative example for ability for studying and application of credit scoring models to appraisal of the loan to Chinese companies with uncertain linguistic information is given.

KW - Credit scoring models

KW - Multiple attribute decision making (MADM)

KW - Uncertain linguistic variables

KW - WC-LOWA operator

UR - https://www.scopus.com/pages/publications/84859811624

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DO - 10.4156/ijact.vol4.issue6.5

M3 - 文章

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SN - 2005-8039

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JO - International Journal of Advancements in Computing Technology

JF - International Journal of Advancements in Computing Technology

IS - 6

ER -

Study and application of credit scoring models to appraisal of the loan to Chinese companies with uncertain linguistic information

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Keywords

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