Solving multi level multi-objective linear programming (ML MOLP) problems with fuzzy parameters (FPs)
| Autor: | Tunjo Perić, Zoran Babić, Tihomir Hunjak |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Croatian Operational Research Review, Vol 14, Iss 2, Pp 149-161 (2023) |
| Druh dokumentu: | article |
| ISSN: | 1848-0225 1848-9931 |
| DOI: | 10.17535/crorr.2023.0013 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
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