Main Article Content

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

Article Details

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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