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We formulate the fuzzy model using the imprecise data as a form of fuzzy numbers since the biological characteristics such as prey population growth rate, predator population decay rate, and predation coefficients lack accurate numerical information. We discuss the positivity and boundedness of solutions of the proposed fuzzy model. Further, we investigate and discuss the local and global asymptotic fuzzy stability of the fuzzy equilibrium points to study the dynamical behavior of the proposed fuzzy model. Also, we study the fuzzy bionomic equilibrium; and investigate the fuzzy optimal harvest strategy and apply Pontryagin\u2019s maximum principle to find the solution in the fuzzy equilibrium.<\/jats:p>","DOI":"10.1142\/s1793005726500250","type":"journal-article","created":{"date-parts":[[2024,9,24]],"date-time":"2024-09-24T08:55:56Z","timestamp":1727168156000},"page":"495-516","source":"Crossref","is-referenced-by-count":0,"title":["Prey\u2013Predator Model with Optimal Harvesting in Fuzzy Environment"],"prefix":"10.1142","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2922-8880","authenticated-orcid":false,"given":"Abha","family":"Tripathi","sequence":"first","affiliation":[{"name":"Department of Mathematics, School of Basic Sciences, Galgotias University, Greater Noida, 203201, Uttar Pradesh, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7517-107X","authenticated-orcid":false,"given":"S. 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