{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T20:44:50Z","timestamp":1767991490283,"version":"3.49.0"},"reference-count":88,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2022,4,14]],"date-time":"2022-04-14T00:00:00Z","timestamp":1649894400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Axioms"],"abstract":"<jats:p>Agritourism is an increasing new trend in the global tourism industry. Vietnam has a long tradition of agricultural production combined with diverse natural resources stretching from the north to the south, bringing advantages in the development of agritourism. The study aims to choose the most appropriate agritourism location in Vietnam for long-term investment. A hybrid fuzzy multi-criteria decision model (FMCDM) is proposed to find the optimal location based on eco-nomic, social, and environmental factors. In the first stage, the fuzzy analytic hierarchy process (FAHP) is used to estimate the relative criteria rating through the evaluation process. In the second stage, the fuzzy technique for order preference using similarities to ideal solution (FTOPSIS) is applied to rank the potential alternative locations. Finally, the best alternative to tourist site investment is Can Tho (A8), which maximizes resources and enhances the local benefits. Future research can also be used to support similar site-selection processes in other regions or could be applied to other types of tourism.<\/jats:p>","DOI":"10.3390\/axioms11040176","type":"journal-article","created":{"date-parts":[[2022,4,14]],"date-time":"2022-04-14T21:44:06Z","timestamp":1649972646000},"page":"176","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Fuzzy Multi Criteria Decision Making Model for Agritourism Location Selection: A Case Study in Vietnam"],"prefix":"10.3390","volume":"11","author":[{"given":"Chihkang Kenny","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Tourism Management, Business Intelligence School, National Kaohsiung University of Science and Technology, Kaohsiung 807618, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2374-3830","authenticated-orcid":false,"given":"Chia-Nan","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 807618, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thi Kim Trang","family":"Le","sequence":"additional","affiliation":[{"name":"Department of Tourism Management, Business Intelligence School, National Kaohsiung University of Science and Technology, Kaohsiung 807618, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Ammirato, S., Felicetti, A.M., Raso, C., Pansera, B.A., and Violi, A. 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