LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

A computational algorithm for the solution of fully fuzzy multi-objective linear programming problem

Photo by benofthenorth from unsplash

The present paper defines a new distance function between two trapezoidal fuzzy (TrF) numbers which satisfies all the properties of metric and a degree of deviation between two TrF numbers.… Click to show full abstract

The present paper defines a new distance function between two trapezoidal fuzzy (TrF) numbers which satisfies all the properties of metric and a degree of deviation between two TrF numbers. The proposed degree of deviation has been used to solve a fully fuzzy multi-objective linear programming problem (FMOLPP). The proposed algorithm uses converting a FMOLPP into crisp linear programming problem and then to get Pareto-optimal solution to the problem. Further, with Pareto-optimal solutions a balance Pareto optimal solution of the problem using fuzzy optimization technique has been obtained with minimum deviation degree in decision variables. The developed computational algorithm has been implemented on an example for the validity of the proposed algorithm.

Keywords: programming problem; fully fuzzy; linear programming; solution; problem; fuzzy multi

Journal Title: International Journal of Dynamics and Control
Year Published: 2018

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.