USE OF FUZZY MATHEMATICAL QUADRATIC PROGRAMMING APPROACH IN JOB EVALUATION

International Journal of Students' Research in Technology & Management

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Field Value
 
Title USE OF FUZZY MATHEMATICAL QUADRATIC PROGRAMMING APPROACH IN JOB EVALUATION
 
Creator Mandal, Manoj Kumar
Burnwal, Arun Prasad
Dubey, Neelam
Dubey, Om Prakash
 
Subject Job Evolution
Quadratic Programming
Fuzzy Logic
Achievement Function
Imprecise Information
Job Evolution
 
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.
 
Publisher GIAP Journals
 
Date 2021-05-15
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://giapjournals.com/ijsrtm/article/view/ijsrtm.2021.925
10.18510/ijsrtm.2021.925
 
Source International Journal of Students' Research in Technology & Management; Vol. 9 No. 2 (2021); 25-29
2321-2543
 
Language eng
 
Relation https://giapjournals.com/ijsrtm/article/view/ijsrtm.2021.925/3481
 
Rights Copyright (c) 2021 Mandal et al.
https://creativecommons.org/licenses/by-sa/4.0
 

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