Open AccessUSE OF FUZZY MATHEMATICAL QUADRATIC PROGRAMMING APPROACH IN JOB EVALUATION
Author(s) -
Manoj Kumar 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.