USE OF FUZZY MATHEMATICAL QUADRATIC PROGRAMMING APPROACH IN JOB EVALUATION
International Journal of Students' Research in Technology & Management
View Publication Info| Field | Value | |
| Title |
USE OF FUZZY MATHEMATICAL QUADRATIC PROGRAMMING APPROACH IN JOB EVALUATION
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| Creator |
Mandal, Manoj Kumar
Burnwal, Arun Prasad Dubey, Neelam Dubey, Om Prakash |
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| Subject |
Job Evolution
Quadratic Programming Fuzzy Logic Achievement Function Imprecise Information Job Evolution |
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| Description |
Purpose of study: The current paper is the based on mathematical model of the job evolution system. Methodology: The proposed method is the fusion of quadratic programming and fuzzy logic where quadratic programming is used to optimize objective function with related constraints in the form of non-linear formulation. Fuzzy logic is used to control uncertainty related information by estimating imprecise parameters Main Finding: The optimal solution of the job evaluation based on fuzzy environment where goal is imprecise. Application of this study: It is used in the areas where information is not exact. The originality of this study: The novelty of the method is the fusion of quadratic programming and fuzzy logic. |
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| Publisher |
GIAP Journals
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| Date |
2021-05-15
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
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| Format |
application/pdf
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| Identifier |
https://giapjournals.com/ijsrtm/article/view/ijsrtm.2021.925
10.18510/ijsrtm.2021.925 |
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| Source |
International Journal of Students' Research in Technology & Management; Vol. 9 No. 2 (2021); 25-29
2321-2543 |
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| Language |
eng
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| Relation |
https://giapjournals.com/ijsrtm/article/view/ijsrtm.2021.925/3481
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| Rights |
Copyright (c) 2021 Mandal et al.
https://creativecommons.org/licenses/by-sa/4.0 |
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