An appropriate artificial intelligence technique for plastic materials recycling using bipolar dual hesitant fuzzy set.

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Title: An appropriate artificial intelligence technique for plastic materials recycling using bipolar dual hesitant fuzzy set.
Authors: Ramya L; Department of Mathematics, Bharathiar University, Coimbatore, 641046, India., Sumathi Thilagasree C; Department of Mathematics, SRMV College of Arts and Science, Coimbatore, India., Jayakumar T; Department of Mathematics, SRMV College of Arts and Science, Coimbatore, India., Peter AK; Systems Engineering Department, Military Technological College, Muscat, Sultanate of Oman., Akhir EAP; Computer and Information Sciences Department, Faculty of Science and Information Technology, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia., Ferrara M; Decisions Lab, Mediterranea University of Reggio Calabria, Reggio Calabria, Italy. massimiliano.ferrara@unirc.it.; Faculty of Engineering and Natural Sciences, Istanbul Okan University, Istanbul, Turkey. massimiliano.ferrara@unirc.it., Ahmadian A; Decisions Lab, Mediterranea University of Reggio Calabria, Reggio Calabria, Italy. ahmadian.hosseini@gmail.com.; Faculty of Engineering and Natural Sciences, Istanbul Okan University, Istanbul, Turkey. ahmadian.hosseini@gmail.com.
Source: Scientific reports [Sci Rep] 2024 Oct 22; Vol. 14 (1), pp. 24817. Date of Electronic Publication: 2024 Oct 22.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-024-73180-7