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. |
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| 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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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0342976 |
