Data · dataset · 1999
A Study on the Application of Fuzzy Theory for the Improvement of Credit Rating Table for Middle and Small Business Secured and Unsecured Loan by the Bank
Listed in Harvard Dataverse
Based on the defects of the credit rating table, we investigate the advanced officers of credit rating department on the bank and financial manager of the corporation by questionnaire.
Description
We hope to improve the credit rating table through their experience. Besides, because of the fuzziness and uncertainty of human beings, we use fuzzy set theory to integrate the opinions of interviewees about the items and the contents of the credit rating table and evaluation method.
According to the result, we also hope to propose another evaluation direction on the credit rating table of business for secured and unsecured loan by the bank. Firstly, the study choose factor analysis to acquire the concerned topics and items on the credit rating table of small and middle business for the credit assessment staff of bank. In addition, fuzzy analytic hierarchy process is used to obtain the specific weight of those considered items and topics.
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The last, we classify all the evaluation items to\"financial ratio analysis items\"and\"non-financial ratio analysis items\". At the topic of financial ratio analysis items, we establish the measurement system of financial ratio analysis items by fuzzy ranking and fuzzy numbers. And at the other topic of non-financial ratio analysis items, we establish the measurement system of non-financial ratio analysis items by fuzzy delphi method and fuzzy synthetic decision.
Besides, we establish the credit grading standard for small and middle business by fuzzy ranking and fuzzy delphi method. Finally, we establish new credit rating table for small and middle business.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.6141%2FTW-SRDA-E87020-1 ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.6141/tw-srda-e87020-1 ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.6141%2FTW-SR… ↗
metadata API · from Harvard Dataverse
Topics
- Inferred from text
- Tabular 65%
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.6141/TW-SRDA-E87020-1 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[modality].local:modality:tabular | enrichment · Harvard Dataverse | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 |