A novel fuzzy framework for technology selection of sustainable wastewater treatment plants based on TODIM methodology in developing urban areas
Abstract Optimal technology selection of wastewater treatment plants (WWTPs) necessitates the adoption of data-driven scientific approaches that satisfy the sustainability requirements of the urban ecosystem. Such approaches should be able to provide actionable insights to decision makers constraine...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-05-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-12643-1 |
| _version_ | 1811258679229415424 |
|---|---|
| author | Gunes Eseoglu Kozet Yapsakli Hakan Tozan Ozalp Vayvay |
| author_facet | Gunes Eseoglu Kozet Yapsakli Hakan Tozan Ozalp Vayvay |
| author_sort | Gunes Eseoglu |
| collection | DOAJ |
| description | Abstract Optimal technology selection of wastewater treatment plants (WWTPs) necessitates the adoption of data-driven scientific approaches that satisfy the sustainability requirements of the urban ecosystem. Such approaches should be able to provide actionable insights to decision makers constrained by factors such as population growth, land scarcity, and loss of functionality of wastewater treatment plants. The framework in this study proposes a hybrid fuzzy multi-criteria decision making (MCDM) model consisting of the analytical hierarchy process (AHP) and the TODIM (an acronym in Portuguese of interactive and multi-criteria decision-making) by using alpha cut series which takes into account the risk aversion of decision makers (DMs) to overcome uncertainties of environmental conditions. The literature to date indicates that the study is the first to presents how a systematic decision-making process is approached by interpreting the interaction of criteria for the selection of wastewater treatment technology through the membership function of Prospect Theory. The proposed methodology reveals that the prominent reference criterion manipulates other sub-criteria according to the function of risk-aversion behavior. The fuzzy sets based on alpha cut series are employed to evaluate both the criteria weight and the rank of the alternatives in the decision-making process to obtain compromise solutions under uncertainty. The dominance degrees of the alternatives are achieved by fuzzy TODIM integrated with the fuzzy analytic hierarchy process (FAHP) which deals with the uncertainty of human judgements. According to the ranking results determined by the dominance degree of alternatives, anaerobic–anoxic–oxic (A2O) without pre-clarification was the most effective process in relation to the sludge disposal cost (C25) calculated as reference criteria. The ranking of four full-scale WWTPs in a metropolitan city of an EMEA country based on 24 sub-criteria listed under the four main criteria, namely the dimensions of sustainability, is used as a case study to verify the usefulness of the fuzzy approach. Motivated by the literature gap related to the failure to consider the psychological behavior of DMs in technology selection problem for wastewater treatment, it is discussed how the proposed hybrid MCDM model can be utilized by reflecting human risk perception in wastewater treatment technology selection for developing urban areas. |
| first_indexed | 2024-04-12T18:18:15Z |
| format | Article |
| id | doaj.art-cb46edab393a4229bebf56449b724f18 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-12T18:18:15Z |
| publishDate | 2022-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-cb46edab393a4229bebf56449b724f182022-12-22T03:21:32ZengNature PortfolioScientific Reports2045-23222022-05-0112112310.1038/s41598-022-12643-1A novel fuzzy framework for technology selection of sustainable wastewater treatment plants based on TODIM methodology in developing urban areasGunes Eseoglu0Kozet Yapsakli1Hakan Tozan2Ozalp Vayvay3Engineering Management Department, Graduate Institute for Pure and Applied Sciences, Marmara UniversityEnvironmental Engineering Department, Faculty of Engineering, Marmara UniversityDepartment of Industrial Engineering, Faculty of Engineering and Natural Sciences, Istanbul Medipol UniversityDepartment of Industrial Engineering, Faculty of Engineering and Natural Sciences, Istanbul Health and Technology UniversityAbstract Optimal technology selection of wastewater treatment plants (WWTPs) necessitates the adoption of data-driven scientific approaches that satisfy the sustainability requirements of the urban ecosystem. Such approaches should be able to provide actionable insights to decision makers constrained by factors such as population growth, land scarcity, and loss of functionality of wastewater treatment plants. The framework in this study proposes a hybrid fuzzy multi-criteria decision making (MCDM) model consisting of the analytical hierarchy process (AHP) and the TODIM (an acronym in Portuguese of interactive and multi-criteria decision-making) by using alpha cut series which takes into account the risk aversion of decision makers (DMs) to overcome uncertainties of environmental conditions. The literature to date indicates that the study is the first to presents how a systematic decision-making process is approached by interpreting the interaction of criteria for the selection of wastewater treatment technology through the membership function of Prospect Theory. The proposed methodology reveals that the prominent reference criterion manipulates other sub-criteria according to the function of risk-aversion behavior. The fuzzy sets based on alpha cut series are employed to evaluate both the criteria weight and the rank of the alternatives in the decision-making process to obtain compromise solutions under uncertainty. The dominance degrees of the alternatives are achieved by fuzzy TODIM integrated with the fuzzy analytic hierarchy process (FAHP) which deals with the uncertainty of human judgements. According to the ranking results determined by the dominance degree of alternatives, anaerobic–anoxic–oxic (A2O) without pre-clarification was the most effective process in relation to the sludge disposal cost (C25) calculated as reference criteria. The ranking of four full-scale WWTPs in a metropolitan city of an EMEA country based on 24 sub-criteria listed under the four main criteria, namely the dimensions of sustainability, is used as a case study to verify the usefulness of the fuzzy approach. Motivated by the literature gap related to the failure to consider the psychological behavior of DMs in technology selection problem for wastewater treatment, it is discussed how the proposed hybrid MCDM model can be utilized by reflecting human risk perception in wastewater treatment technology selection for developing urban areas.https://doi.org/10.1038/s41598-022-12643-1 |
| spellingShingle | Gunes Eseoglu Kozet Yapsakli Hakan Tozan Ozalp Vayvay A novel fuzzy framework for technology selection of sustainable wastewater treatment plants based on TODIM methodology in developing urban areas Scientific Reports |
| title | A novel fuzzy framework for technology selection of sustainable wastewater treatment plants based on TODIM methodology in developing urban areas |
| title_full | A novel fuzzy framework for technology selection of sustainable wastewater treatment plants based on TODIM methodology in developing urban areas |
| title_fullStr | A novel fuzzy framework for technology selection of sustainable wastewater treatment plants based on TODIM methodology in developing urban areas |
| title_full_unstemmed | A novel fuzzy framework for technology selection of sustainable wastewater treatment plants based on TODIM methodology in developing urban areas |
| title_short | A novel fuzzy framework for technology selection of sustainable wastewater treatment plants based on TODIM methodology in developing urban areas |
| title_sort | novel fuzzy framework for technology selection of sustainable wastewater treatment plants based on todim methodology in developing urban areas |
| url | https://doi.org/10.1038/s41598-022-12643-1 |
| work_keys_str_mv | AT guneseseoglu anovelfuzzyframeworkfortechnologyselectionofsustainablewastewatertreatmentplantsbasedontodimmethodologyindevelopingurbanareas AT kozetyapsakli anovelfuzzyframeworkfortechnologyselectionofsustainablewastewatertreatmentplantsbasedontodimmethodologyindevelopingurbanareas AT hakantozan anovelfuzzyframeworkfortechnologyselectionofsustainablewastewatertreatmentplantsbasedontodimmethodologyindevelopingurbanareas AT ozalpvayvay anovelfuzzyframeworkfortechnologyselectionofsustainablewastewatertreatmentplantsbasedontodimmethodologyindevelopingurbanareas AT guneseseoglu novelfuzzyframeworkfortechnologyselectionofsustainablewastewatertreatmentplantsbasedontodimmethodologyindevelopingurbanareas AT kozetyapsakli novelfuzzyframeworkfortechnologyselectionofsustainablewastewatertreatmentplantsbasedontodimmethodologyindevelopingurbanareas AT hakantozan novelfuzzyframeworkfortechnologyselectionofsustainablewastewatertreatmentplantsbasedontodimmethodologyindevelopingurbanareas AT ozalpvayvay novelfuzzyframeworkfortechnologyselectionofsustainablewastewatertreatmentplantsbasedontodimmethodologyindevelopingurbanareas |