Assignment problem is the biggest significant problem in decision-making. In this paper, a novel technique is planned to discover the best possible solution to a balanced fuzzy assignment problem (FAP). We derive two formulae; one is related to the odd number of fuzzy numbers and another is related to the even number of fuzzy numbers to discover better answer from the existing answer to the FAP. Proposed technique give the best possible solution to balanced FAP in the fewer number of iteration than existing techniques. An algebraic illustration is specified to authenticate the process of proposed technique which is based on industrial environment and education domain.
CITATION STYLE
Ingle, S. M., & Ghadle, K. P. (2020). Optimal Solution for Fuzzy Assignment Problem and Applications. In Advances in Intelligent Systems and Computing (Vol. 1025, pp. 155–164). Springer. https://doi.org/10.1007/978-981-32-9515-5_15
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