#6047. Algorithm for bi-level multi-objective fully quadratic fractional optimization model with fuzzy parameters: FGP for BLMOFQFOM

July 2026publication date
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Computer Science (all);
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Abstract:
The presented research is concerned to obtain an efficient solution for bi-level multi-objective fully quadratic fractional optimization model (BLMOFQFOM). It is based on the idea of transforming the fractional model into non-fractional one for the initial guess of variables. Trapezoidal fuzzy numbers (TrFN) are being taken as the parameters in the fuzzy model to deal with vague and incomplete data and ?-cut set is used to get a deterministic model from the fuzzy model. Concept of fuzzy goals is implemented to set aspiration level as unity for all objective functions. An attractive flowchart, algorithm and a computational problem are also illustrated to show the validity of the designed approach.
Keywords:
Aspiration level; Bi level multi-objective optimization model (BLMOOM); Efficient solution; Fuzzy models; Multi-objective model

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