Original scientific paper
https://doi.org/10.17535/crorr.2023.0013
Solving multi level multi-objective linear programming (ML MOLP) problems with fuzzy parameters (FPs)
Tunjo Perić
orcid.org/0000-0002-0886-8037
; Faculty of Economics and Business, University of Zagreb, Zagreb, Croatia
*
Zoran Babić
; Faculty of Economics, Business and Tourism, University of Split, Split, Croatia
Tihomir Hunjak
; Faculty of Organization and Informatics, University of Zagreb, Varaždin, Croatia
* Corresponding author.
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.
Keywords
decision-making; fuzzy parameters; multi-level; multi-objective linear programming
Hrčak ID:
311660
URI
Publication date:
19.12.2023.
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