A fuzzy DEA approach for effectively measuring the efficiency of indian banks (Record no. 42962)
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| 000 -LEADER | |
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| fixed length control field | 01732nam a22002057a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20160411182432.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 160409b xxu||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Kumar, Manoj |
| 9 (RLIN) | 21462 |
| 245 ## - TITLE STATEMENT | |
| Title | A fuzzy DEA approach for effectively measuring the efficiency of indian banks |
| Statement of responsibility, etc | Manoj Kumar, Jyoti Raman and Priya Raman |
| Remainder of title | some anova evidence |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Hydrabad |
| Name of publisher, distributor, etc | IUP Publication |
| Date of publication, distribution, etc | Februaury 2015 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 21-39 p. |
| Other physical details | Paper |
| 500 ## - GENERAL NOTE | |
| General note | Data Envelopment Analysis (DEA) is widely applied in evaluating the efficiency of banks since it is a method capable of evaluating the efficiency of decision-making units in utilizing multiple inputs to produce multiple outputs. However, some outputs of banks, in fact, possess fuzzy characteristics, while conventional DEA approach can only assess efficiency with a crisp value and is unable to evaluate imprecise data. Theoretically, the fuzzy DEA approach can evaluate banks’ efficiency more realistically and accurately since it can take the fuzzy characteristics of inputs and/or outputs into consideration. This study adopts 48 Indian commercial banks as an empirical example to demonstrate the feasibility and the effectiveness in our proposed fuzzy DEA. The results show that the fuzzy DEA approach could not only effectively characterize uncertainty, but may also have a higher capability to discriminate banks’ efficiency than the conventional DEA approach. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Banking |
| 9 (RLIN) | 21507 |
| General subdivision | Decision Making |
| Topical term or geographic name as entry element | Data Envelopment Analysis (DEA) |
| 9 (RLIN) | 21510 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Raman, Jyoti |
| 9 (RLIN) | 21509 |
| Personal name | Raman, Priya |
| 9 (RLIN) | 21511 |
| 773 0# - HOST ITEM ENTRY | |
| Host Biblionumber | 30414 |
| Host Itemnumber | 53327 |
| Main entry heading | MURTHY, E N |
| Place, publisher, and date of publication | IUP PUBLICATION HYDERABAD |
| Other item identifier | 5553811 |
| Title | BANK MANAGEMENT |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Journal Article |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Source of acquisition | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from |
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| Dewey Decimal Classification | Main Library | Main Library | 11/04/2016 | The IUP Journal of Bank Management-Vol. XIV (1) -February - 2015 | Vol. XIV, No.1/ 5553811IBM2 | 5553811IBM2 | 11/04/2016 | 11/04/2016 |