USE OF FUZZY MATHEMATICAL QUADRATIC PROGRAMMING APPROACH IN JOB EVALUATION | Zendy

Manoj K. Mandal | Zendy; Arun Prasad Burnwal | Zendy; Neelam Dubey | Zendy; Om Prakash Dubey | Zendy

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USE OF FUZZY MATHEMATICAL QUADRATIC PROGRAMMING APPROACH IN JOB EVALUATION

Author(s) -

Manoj K. Mandal,

Arun Prasad Burnwal,

Neelam Dubey,

Om Prakash Dubey

Publication year - 2021

Publication title -

international journal of students research in technology and management

Language(s) - English

Resource type - Journals

ISSN - 2321-2543

DOI - 10.18510/ijsrtm.2021.925

Subject(s) - fuzzy logic , quadratic programming , novelty , mathematical optimization , mathematics , fuzzy number , fuzzy set operations , defuzzification , computer science , quadratic equation , fuzzy set , artificial intelligence , philosophy , theology , geometry

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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