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May 15, 2021
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May 15, 2021
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Abstract

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.

Keywords

Job Evolution Quadratic Programming Fuzzy Logic Achievement Function Imprecise Information

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Authors retain the copyright without restrictions for their published content in this journal. IJSRTM is a SHERPA ROMEO Journal. 

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This is an open-access article distributed under the terms of  Creative Commons License

 

How to Cite
Mandal, M. K., Burnwal, A. P., Dubey, N., & Dubey, O. P. (2021). USE OF FUZZY MATHEMATICAL QUADRATIC PROGRAMMING APPROACH IN JOB EVALUATION. International Journal of Students’ Research in Technology & Management, 9(2), 25–29. https://doi.org/10.18510/ijsrtm.2021.925
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