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This study uses mathematical modeling to create an optimization algorithm to replicate dynamic patterns and behaviors. Since parameters play a critical role in optimization, we use the fuzzy concept for dynamic parameter adaptation in fuzzy BTO. By introducing the idea of signature and demonstrating that fuzzy BTO converges to the global optimal point, the mathematical basis for the proposed algorithm is provided. The convergence of fuzzy BTO is proved using the Markov chain property. On benchmark functions (BF), the effectiveness of the suggested strategies is evaluated and compared with other metaheuristic algorithms. Then the proposed algorithms are applied to a fuzzy FS problem. Then they are compared with traditional and recent metaheuristic algorithms on the UCI machine learning repository datasets. Finally, the statistical significance is examined using the Kruskal\u2013Wallis test (KWT). <\/jats:p>","DOI":"10.1142\/s1469026824500160","type":"journal-article","created":{"date-parts":[[2024,4,30]],"date-time":"2024-04-30T11:31:34Z","timestamp":1714476694000},"source":"Crossref","is-referenced-by-count":2,"title":["Bluefin Trevally Optimizer (BTO): A Metaheuristic Algorithm Using Fuzzy Logic Controller for Feature Selection Problem"],"prefix":"10.1142","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4585-5497","authenticated-orcid":false,"given":"Debashis","family":"Dutta","sequence":"first","affiliation":[{"name":"Department of Mathematics, National Institute of Technology, Warangal 506004, Telangana, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7747-7355","authenticated-orcid":false,"given":"Subhabrata","family":"Rath","sequence":"additional","affiliation":[{"name":"Department of Mathematics, National Institute of Technology, Warangal 506004, Telangana, India"}]}],"member":"219","published-online":{"date-parts":[[2024,4,30]]},"reference":[{"key":"S1469026824500160BIB001","first-page":"713","volume":"11","author":"Rahkar-Farshi T.","year":"2019","journal-title":"Int. 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