A New Approach to Solve Fully Fuzzy Linear Programming Problems Using the MOLP Problem

  • Seyed Hadi Nasseri Department of mathematics, University of Mazandaran, Babolsar, Iran
  • Faranak mahmoudi Department of mathematics, University of Mazandaran, Babolsar, Iran
Keywords: Fully fuzzy linear programming, Triangular fuzzy numbers, Multi objective programming

Abstract

This note shows that Definition 2.6 which is used by Ezzati et al. (2015) in failed to compare any arbitrary triangular fuzzy numbers. After that, Kumar et al. (2015) based on this definition proposed an algorithm to convert a fully fuzzy programming problem with inequality constraints into a fully fuzzy linear programming problem with equality constraints and regarding to the mentioned definition has concluded that the main problem was not an infeasible problem. We demonstrate that their presented method is not well in general, thus the proposed method to find the fuzzy optimal solution of fully fuzzy linear programming problems by Ezzati et al. (2013), can be improved by using some general definitions and a new version is provided in this note. An example is also presented to demonstrate the new form.

Published
2019-05-05
How to Cite
Nasseri, S. H., & mahmoudi, F. (2019). A New Approach to Solve Fully Fuzzy Linear Programming Problems Using the MOLP Problem. International Journal of Applied Optimization Studies, 2(03), 65-72. Retrieved from http://ijaos.com/index.php/home/article/view/43
Section
Original article