#5463. Type 2 fully fuzzy linear programming

August 2026publication date
Proposal available till 19-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Computational Theory and Mathematics;
Theoretical Computer Science;
Software;
Artificial Intelligence;
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Abstract:
Since its inception, fuzzy linear programming (FLP) has proved to be a more powerful tool than classical linear programming to optimize real-life problems dealing with uncertainty. However, the proposed models are partially fuzzy; in other words, they suppose that only some aspects can be uncertain, while others have to be crisp. Furthermore, the few methods that deal with fully fuzzy problems use Type 1 fuzzy membership function, while Type 2 fuzzy logic captures the uncertainty in a more suitable way. This work presents a fully fuzzy linear programming approach in which all parameters are represented by unrestricted Interval Type 2 fuzzy numbers (IT2FN) and variables by positive IT2FN.
Keywords:
Fully Fuzzy Linear Programming (FFLP); Fuzzy Number (FN); Fuzzy Sets (FS); Interval Type 2 Fuzzy Number (IT2FN); Type 2 Fully Fuzzy Linear Programming (T2FFLP)

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