{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T10:12:15Z","timestamp":1775470335621,"version":"3.50.1"},"reference-count":100,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2023,7,29]],"date-time":"2023-07-29T00:00:00Z","timestamp":1690588800000},"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>The evolving customer demands have significantly influenced the operational landscape of agricultural companies, including the transformation of their supply chains. As a response, many organizations are increasingly adopting green supply chain practices. This paper focuses on the initial step of selecting a green supplier, using the case study of the Semberka Company. The objective is to align the company with customer requirements and market trends. Expert decision making, grounded in linguistic values, was employed to facilitate the transformation of these values into fuzzy numbers and subsequently derive rough number boundaries. Ten economic-environmental criteria were identified, and six suppliers were evaluated against these criteria. The fuzzy rough LMAW (Logarithm Methodology of Additive Weights) method was employed to determine the criteria weights, with emphasis placed on the quality criterion. The fuzzy rough MABAC (Multi-Attributive Border Approximation Area Comparison) method was then utilized to rank the suppliers and identify the top performer. The validity of the results was established through validation techniques and sensitivity analysis. This research contributes a novel approach to green supplier selection, employing the powerful tool of fuzzy rough sets. The flexible nature of this approach suggests its potential application in future investigations. The limitation of this study is more complicated calculations for the decision maker. However, this approach is adapted to human thinking and minimizes ambiguity and uncertainty in decision making, and in future research, it is necessary to combine this approach with other methods of multi-criteria analysis.<\/jats:p>","DOI":"10.3390\/axioms12080746","type":"journal-article","created":{"date-parts":[[2023,7,31]],"date-time":"2023-07-31T03:30:02Z","timestamp":1690774202000},"page":"746","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Integrating Fuzzy Rough Sets with LMAW and MABAC for Green Supplier Selection in Agribusiness"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3274-0188","authenticated-orcid":false,"given":"Adis","family":"Pu\u0161ka","sequence":"first","affiliation":[{"name":"Department of Public Safety, Government of Br\u010dko District of Bosnia and Herzegovina, Bulevara Mira 1, 76100 Br\u010dko, Bosnia and Herzegovina"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9131-1642","authenticated-orcid":false,"given":"An\u0111elka","family":"\u0160tili\u0107","sequence":"additional","affiliation":[{"name":"The College of Tourism, Academy of Applied Studies Belgrade, Bulevar Zorana \u00d0indi\u0107a 152a, 11070 Belgrade, Serbia"}]},{"given":"Miroslav","family":"Nedeljkovi\u0107","sequence":"additional","affiliation":[{"name":"Institute of Agricultural Economics, Volgina 15, 11060 Belgrade, Serbia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9657-0889","authenticated-orcid":false,"given":"Darko","family":"Bo\u017eani\u0107","sequence":"additional","affiliation":[{"name":"Military Academy, University of Defence in Belgrade, Veljka Lukica Kurjaka 33, 11000 Belgrade, Serbia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9243-2403","authenticated-orcid":false,"given":"Sanjib","family":"Biswas","sequence":"additional","affiliation":[{"name":"Decision Science & Operations Management Area, Calcutta Business School, Diamond Harbour Road, Bishnupur 743503, India"}]}],"member":"1968","published-online":{"date-parts":[[2023,7,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"56199","DOI":"10.1007\/s11356-021-14612-z","article-title":"COVID-19 and dynamics of environmental awareness, sustainable consumption and social responsibility in Malaysia","volume":"28","author":"Ali","year":"2021","journal-title":"Environ. 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