Solving Multiobjective Fuzzy Binary Integer Linear Fractional Programming Problems Involving Pentagonal and Hexagonal Fuzzy Numbers

In this paper, we studied a multiobjective linear fractional programming (MOLFP) problem with pentagonal and hexagonal fuzzy numbers, while the decision variables are binary integer numbers. Initially, a multiobjective fuzzy binary integer linear fractional programming (MOFBILFP) problem was transfo...

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Vydané v:Journal of Mathematics Ročník 2024; číslo 1
Hlavní autori: Akate, Adane, Fentaw, Getaye
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cairo John Wiley & Sons, Inc 2024
Wiley
Predmet:
Algorithms
Approximation
Case studies
Comparative analysis
Decision making
Fuzzy sets
Integer programming
Integers
Investment analysis
Linear programming
Mathematical programming
Methods
Multiple objective analysis
Optimization
Production planning
Set theory
Skewness
Software
Statistics
System theory
ISSN:2314-4629, 2314-4785
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Popis
Shrnutí:In this paper, we studied a multiobjective linear fractional programming (MOLFP) problem with pentagonal and hexagonal fuzzy numbers, while the decision variables are binary integer numbers. Initially, a multiobjective fuzzy binary integer linear fractional programming (MOFBILFP) problem was transformed into a multiobjective binary linear fractional programming problem by using the geometric average method; second, a multiobjective binary integer linear fractional programming (MOBILFP) problem was converted into a binary integer linear fractional programming (BILFP) problem using the Pearson 2 skewness coefficient technique; and third, a BILFP problem was solved by using LINGO (version 20.0) mathematical software. Finally, some numerical examples and case studies have been illustrated to show the efficiency of the proposed technique and the algorithm. The performance of this technique was evaluated by comparing their results with those of other existing methods. The numerical results have shown that the proposed technique is better than other techniques.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2314-4629
2314-4785
DOI:10.1155/2024/5597938