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

Authors

  • Tunjo Perić University of Zagreb, Faculty of Economics and Business
  • Zoran Babić University of Split, Faculty of Economics, Business and Tourism
  • Tihomir Hunjak University of Zagreb, Faculty of Organization and Informatics

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.

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Published

2023-12-19

Issue

Vol. 14 No. 2 (2023): CRORR

Section

CRORR Journal Regular Issue

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