Work

Solving multi level multi-objective linear programming (ML MOLP) problems with fuzzy parameters (FPs)

Year: 2023

Type: article

Abstract: Making numerous business decisions in complex decentralized organizations can be presented as a ML MOLP problem with FPs expressed as triangular fuzzy numbers. This paper presents a methodology that uses several multi-objective programming methods to solve this problem. The Iskander’s method was used for defuzzification of the objective functions and constraints of the problem and a multi-objective programming method based on the cooperation among decision makers was used to determine the aspired values of the variables controlled by the decision-makers and to obtain the preferred non-dominated solution of the entire problem. The efficiency of the proposed methodology was tested on an example of production planning in a complex decentralized company.

Source: Croatian Operational Research Review

DOI: 10.17535/crorr.2023.0013

Authors: Tunjo Perić, Zoran Babić, Tihomir Hunjak

Institutions: University of Zagreb, Ekonomski fakultet - Zagreb, University of Split

Language: English

Topic: Optimization and Mathematical Programming

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W4390016708

FWCI: 0.146

Cites: 26

Cited by: 1

Related to: 10