Food waste treatment option selection through spherical fuzzy AHP
| Autor: | Gül Tekin Temur, Aysu Melis Buyuk |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Statistics and Probability
Operations research 0211 other engineering and technologies General Engineering Treatment options 02 engineering and technology 010501 environmental sciences 01 natural sciences Food waste Artificial Intelligence Environmental science 021108 energy Fuzzy ahp Selection (genetic algorithm) 0105 earth and related environmental sciences |
| Zdroj: | Journal of Intelligent & Fuzzy Systems. 42:97-107 |
| ISSN: | 1875-8967 1064-1246 |
| DOI: | 10.3233/jifs-219178 |
| Popis: | In line with the increase in consciousness on sustainability in today’s global world, great emphasis has been attached to food waste management. Food waste is a complex issue to manage due to uncertainties on quality, quantity, location, and time of wastes, and it involves different decisions at many stages from seed to post-consumption. These ambiguities re-quire that some decisions should be handled in a linguistic and ambiguous environment. That forces researchers to benefit from fuzzy sets mostly utilized to deal with subjectivity that causes uncertainty. In this study, as a novel approach, the spherical fuzzy analytic hierarchy process (SFAHP) was used to select the best food treatment option. In the model, four main criteria (infrastructural, governmental, economic, and environmental) and their thirteen sub-criteria are considered. A real case is conducted to show how the proposed model can be used to assess four food waste treatment options (composting, anaerobic digestion, landfilling, and incineration). Also, a sensitivity analysis is generated to check whether the evaluations on the main criteria can change the results or not. The proposed model aims to create a subsidiary tool for decision makers in relevant companies and institutions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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