Comparing different ranking functions for solving fuzzy linear programming problems with fuzzy cost coefficients

Garrido, Betsabé Pérez and Sebrek, Szabolcs Szilárd and Semenova, Viktoriia (2021) Comparing different ranking functions for solving fuzzy linear programming problems with fuzzy cost coefficients. Hungarian Statistical Review, 4 (2). pp. 3-17. ISSN 2630-9130

Preview

Text 2021_02_003.pdf Download (467kB) | Preview

Abstract

In many applications of linear programming, the lack of exact information results in various problems. Nevertheless, these types of problems can be handled using fuzzy linear programming. This study aims to compare different ranking functions for solving fuzzy linear programming problems in which the coefficients of the objective function (the cost vector) are fuzzy numbers. A numerical example is introduced from the field of tourism and then solved using five ranking functions. Computations were carried out using the FuzzyLP package implemented in the statistical software R.

Actions (login required)

Edit Item