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2025, Vol. 10, Issue 6, Part C

Fuzzy optimization approach to the assignment problem: A triangular fuzzy model with defuzzification technique


Author(s): Vishal Vincent Henry

Abstract: In this paper, we propose a fuzzy optimization-based approach to solve the classical assignment problem where cost coefficients are modeled as triangular fuzzy numbers. We adopt the centroid-based defuzzification technique to transform fuzzy costs into crisp values. The resulting crisp assignment problem is then solved using the Hungarian algorithm. A step-by-step numerical example is provided to demonstrate the effectiveness of the proposed method. This approach is particularly useful in real-life scenarios involving uncertainty and imprecision in cost evaluations, such as human-centered decision-making, expert systems, and uncertain resource allocation tasks.

DOI: 10.22271/maths.2025.v10.i6c.2141

Pages: 231-235 | Views: 171 | Downloads: 10

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International Journal of Statistics and Applied Mathematics
How to cite this article:
Vishal Vincent Henry. Fuzzy optimization approach to the assignment problem: A triangular fuzzy model with defuzzification technique. Int J Stat Appl Math 2025;10(6):231-235. DOI: 10.22271/maths.2025.v10.i6c.2141

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