Lexicographic multi-objective geometric programming problems with pentagonal fuzzy parameters using robust method

Sudipta Mishra and Rashmi Ranjan Ota

International Journal of Mathematics in Operational Research, 2025, vol. 32, issue 2, 239-250

Abstract: Fuzzy logic is the most useful method for simulating complex real-world problems. In the process of creating models and coming up with solutions, it integrates ambivalence information. This paper outlines the process for resolving lexicographic multi-objective geometric programming problems with fuzzy parameters. After the introduction of pentagonal fuzzy parameters as the coefficients, the study utilises the robust method to defuzzify the programming problems. Finally, the solution is reached using the geometric programming technique. Two numerical examples have been given to illustrate our proposed methodology.

Keywords: geometric programming; multi-objective; lexicographic method; pentagonal fuzzy parameters; robust method. (search for similar items in EconPapers)
Date: 2025
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