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A fuzzy ZE-number group decision-making framework using BWM and MABAC for risk assessment in medicinal plant extraction.

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Title: A fuzzy ZE-number group decision-making framework using BWM and MABAC for risk assessment in medicinal plant extraction.
Authors: Gheytasi F; Department Pharmaceutical Technology, Faculty of Pharmacy, University Malaya, Malaysia., Kianifard M; Department Industrial Engineering, Urmia University of Technology, Urmia, Iran., Ghoushchi SJ; Department Industrial Engineering, Urmia University of Technology, Urmia, Iran., Hafez-Ghoran S; Laboratory for Functional Foods and Human Health, Center for Excellence in Post-Harvest Technologies, North Carolina Agricultural and Technical State University, North Carolina Research Campus, 500 Laureate Way, Kannapolis, North Carolina, United States., Maghami MR; Strategic Research Institute (SRI), Asia Pacific University of Technology and Innovation, (APU), Kuala Lumpur, Malaysia., Mohamed M; Faculty of Artificial Intelligence and Cyber Security (FAIX), Universiti Teknikal Malaysia Melaka, Tunggal, Malaysia.
Source: PloS one [PLoS One] 2026 Feb 24; Vol. 21 (2), pp. e0342976. Date of Electronic Publication: 2026 Feb 24 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Gheytasi+F%22">Gheytasi F</searchLink>; Department Pharmaceutical Technology, Faculty of Pharmacy, University Malaya, Malaysia.<br /><searchLink fieldCode="AU" term="%22Kianifard+M%22">Kianifard M</searchLink>; Department Industrial Engineering, Urmia University of Technology, Urmia, Iran.<br /><searchLink fieldCode="AU" term="%22Ghoushchi+SJ%22">Ghoushchi SJ</searchLink>; Department Industrial Engineering, Urmia University of Technology, Urmia, Iran.<br /><searchLink fieldCode="AU" term="%22Hafez-Ghoran+S%22">Hafez-Ghoran S</searchLink>; Laboratory for Functional Foods and Human Health, Center for Excellence in Post-Harvest Technologies, North Carolina Agricultural and Technical State University, North Carolina Research Campus, 500 Laureate Way, Kannapolis, North Carolina, United States.<br /><searchLink fieldCode="AU" term="%22Maghami+MR%22">Maghami MR</searchLink>; Strategic Research Institute (SRI), Asia Pacific University of Technology and Innovation, (APU), Kuala Lumpur, Malaysia.<br /><searchLink fieldCode="AU" term="%22Mohamed+M%22">Mohamed M</searchLink>; Faculty of Artificial Intelligence and Cyber Security (FAIX), Universiti Teknikal Malaysia Melaka, Tunggal, Malaysia.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2026 Feb 24; Vol. 21 (2), pp. e0342976. <i>Date of Electronic Publication: </i>2026 Feb 24 (<i>Print Publication: </i>2026).
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