Litcius/Paper detail

Application of linear fractional programming problem with fuzzy nature in industry sector

Sapan Kumar Das, S. A. Edalatpanah, Tamal Mandal

2020Filomat18 citationsDOIOpen Access PDF

Abstract

Several methods currently exist for solving fuzzy linear fractional programming problems under non negative fuzzy variables. However, due to the limitation of these methods, they cannot be applied for solving fully fuzzy linear fractional programming (FFLFP) problems where all the variables and parameters are fuzzy numbers. So, this paper is planning to fill in this gap and in order to obtain the fuzzy optimal solution we propose a new efficient method for FFLFP problems utilized in daily life circumstances. This proposed method is based on crisp linear fractional programming and has a simple structure. To show the efficiency of our proposed method some numerical and real life problems have been illustrated.

Topics & Concepts

MathematicsFuzzy logicMathematical optimizationFractional programmingLinear programmingLinear-fractional programmingSimple (philosophy)Fuzzy numberFuzzy set operationsFuzzy setNonlinear programmingComputer scienceArtificial intelligenceNonlinear systemPhysicsPhilosophyQuantum mechanicsEpistemologyOptimization and Mathematical ProgrammingOptimization and Variational AnalysisSmart Parking Systems Research