Year: 2025
Type: article
Abstract: In this study, an optimal technique is developed to address fuzzy assignment problems utilizing the PuLP library in Python. The goal is to minimize or maximize the assignment cost within a fuzzy environment where all variables are expressed as triangular fuzzy numbers. To facilitate computation, these fuzzy values are defuzzified into crisp numbers using a ranking approach, specifically the centroid method. The complete procedure is thoroughly explained and demonstrated with a practical numerical example. This strategy enables efficient one-to-one task allocation, increasing the likelihood of bidder participation while reducing both the total fuzzy assignment cost and completion time.
Authors: Sudhir Kumar, Anita Kumari
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4414374622
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