Fuzzy optimal solution of fully fuzzy linear programming problems using ranking function

Authors:
Amit Kumar;Jagdeep Kaur
Affiliations:
School of Mathematics and Computer Applications, Thapar University, Patiala, India;School of Mathematics and Computer Applications, Thapar University, Patiala, India
Venue:
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Year:
2014

Citing 13
Cited 0

An interactive fuzzy programming system

Fuzzy Sets and Systems
Linear programming problems and ranking of fuzzy numbers

Fuzzy Sets and Systems
A solution algorithm for fuzzy linear programming with piecewise linear membership functions

Fuzzy Sets and Systems
Ranking fuzzy numbers with integral value

Fuzzy Sets and Systems
Linear programming with fuzzy variables

Fuzzy Sets and Systems
Evolutionary algorithm solution to fuzzy problems: Fuzzy linear programming

Fuzzy Sets and Systems
Formulation of fuzzy linear programming problems as four-objective constrained optimization problems

Applied Mathematics and Computation
Duality in Fuzzy Linear Programming: Some New Concepts and Results

Fuzzy Optimization and Decision Making
Fully fuzzified linear programming, solution and duality

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A general concept for solving linear multicriteria programming problems with crisp, fuzzy or stochastic values

Fuzzy Sets and Systems
Duality results and a dual simplex method for linear programming problems with trapezoidal fuzzy variables

Fuzzy Sets and Systems
The use of parametric programming in fuzzy linear programming

Fuzzy Sets and Systems
Using fuzzy numbers in linear programming

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a new method is proposed to find the fuzzy optimal solution of fully fuzzy linear programming FFLP problems with mixed constraints. By using the proposed method the fuzzy optimal solution of FFLP problems with mixed constraints occurring in real life situations can be easily obtained. To illustrate the proposed method a numerical example is solved. The proposed method can be easily applied to find the fuzzy optimal solution of FFLP problems occurring in real life situations.