Solving multi level multi-objective linear programming (ML MOLP) problems with fuzzy parameters (FPs)
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 use...
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| Vydané v: | Croatian Operational Research Review Ročník 14; číslo 2; s. 149 - 161 |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Zagreb
Croatian Operational Research Society (CRORS)
2023
Croatian Operational Research Society |
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| ISSN: | 1848-9931, 1848-0225, 1848-9931 |
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| 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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| AbstractList | 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. |
| Author | Babić, Zoran Hunjak, Tihomir Perić, Tunjo |
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| DOI | 10.17535/crorr.2023.0013 |
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| SubjectTerms | Decentralized control Decision making fuzzy parameters Linear programming Mathematical programming multi-level multi-objective linear programming Multiple objective analysis Production planning |
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