An integrated bipolar picture fuzzy decision driven system to scrutinize foodwaste treatment technology through assorted factor analysis

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dc.authorid0000-0002-8072-031X
dc.authorid0000-0002-9858-1266
dc.contributor.authorDevi, Navaneethakrishnan Suganthi Keerthana
dc.contributor.authorNarayanamoorthy, Samayan
dc.contributor.authorParthasarathy, Thirumalai Nallasivan
dc.contributor.authorThilagasree, Chakkarapani Sumathi
dc.contributor.authorPamucar, Dragan
dc.contributor.authorSimic, Vladimir
dc.contributor.authorDinçer, Hasan
dc.contributor.authorYüksel, Serhat
dc.date.accessioned2024-08-05T09:02:34Z
dc.date.available2024-08-05T09:02:34Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstractFood Waste (FW) is a pressing environmental concern that affects every country globally. About one-third of the food that is produced ends up as waste, contributing to the carbon footprint. Hence, the FW must be properly treated to reduce environmental pollution. This study evaluates a few available Food Waste Treatment (FWT) technologies, such as anaerobic digestion, composting, landfill, and incineration, which are widely used. A Bipolar Picture Fuzzy Set (BPFS) is proposed to deal with the ambiguity and uncertainty that arise when converting a realworld problem to a mathematical model. A novel Criteria Importance Through Intercriteria Correlation-Stable Preference Ordering Towards Ideal Solution (CRITIC-SPOTIS) approach is developed to objectively analyze FWT selection based on thirteen criteria covering the industry's technical, environmental, and entrepreneurial aspects. The CRITIC method is used for the objective analysis of the importance of each criterion in FWT selection. The SPOTIS method is adopted to rank the alternative hassle-free, following the criteria. The proposed model offers a rank reversal-freemodel, i.e., the rank of the alternatives remains unaffected even after the addition or removal of an alternative. In addition, comparative and sensitivity analyses are performed to ensure the reliability and robustness of the proposed model and to validate the proposed result.
dc.identifier.citationDevi, N. S. K., Narayanamoorthy, S., Parthasarathy, T. N., Thilagasree, C. S., Pamucar, D., Simic, V. ... Yüksel, S. (2024). An integrated bipolar picture fuzzy decision driven system to scrutinize foodwaste treatment technology through assorted factor analysis. CMES - Computer Modeling in Engineering and Sciences, 140(3), 2665-2687. http://dx.doi.org/10.32604/cmes.2024.050954
dc.identifier.doi10.32604/cmes.2024.050954
dc.identifier.endpage2687
dc.identifier.issn1526-1492
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85198620994
dc.identifier.scopusqualityQ3
dc.identifier.startpage2665
dc.identifier.urihttp://dx.doi.org/10.32604/cmes.2024.050954
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12763
dc.identifier.volume140
dc.indekslendigikaynakScopus
dc.institutionauthorDinçer, Hasan
dc.institutionauthorYüksel, Serhat
dc.language.isoen
dc.relation.ispartofCMES - Computer Modeling in Engineering and Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsAttribution 4.0 International*
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBipolar Picture Fuzzy Set and Decision-Making
dc.subjectFood Waste Treatment Selection
dc.subjectFuzzy
dc.titleAn integrated bipolar picture fuzzy decision driven system to scrutinize foodwaste treatment technology through assorted factor analysis
dc.typeArticle

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