PMID- 35614159
OWN - NLM
STAT- MEDLINE
DCOM- 20220527
LR  - 20220721
IS  - 2045-2322 (Electronic)
IS  - 2045-2322 (Linking)
VI  - 12
IP  - 1
DP  - 2022 May 25
TI  - A novel fuzzy framework for technology selection of sustainable wastewater 
      treatment plants based on TODIM methodology in developing urban areas.
PG  - 8800
LID - 10.1038/s41598-022-12643-1 [doi]
LID - 8800
AB  - 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.
CI  - (c) 2022. The Author(s).
FAU - Eseoglu, Gunes
AU  - Eseoglu G
AD  - Engineering Management Department, Graduate Institute for Pure and Applied 
      Sciences, Marmara University, Goztepe, Istanbul, Turkey. gunesdemir@marun.edu.tr.
FAU - Yapsakli, Kozet
AU  - Yapsakli K
AD  - Environmental Engineering Department, Faculty of Engineering, Marmara University, 
      Goztepe, Istanbul, Turkey.
FAU - Tozan, Hakan
AU  - Tozan H
AD  - Department of Industrial Engineering, Faculty of Engineering and Natural 
      Sciences, Istanbul Medipol University, Kavacik, Istanbul, Turkey.
FAU - Vayvay, Ozalp
AU  - Vayvay O
AD  - Department of Industrial Engineering, Faculty of Engineering and Natural 
      Sciences, Istanbul Health and Technology University, Merter, Istanbul, Turkey.
LA  - eng
PT  - Journal Article
DEP - 20220525
PL  - England
TA  - Sci Rep
JT  - Scientific reports
JID - 101563288
SB  - IM
MH  - Decision Making
MH  - Ecosystem
MH  - *Fuzzy Logic
MH  - Humans
MH  - Technology
MH  - Uncertainty
MH  - *Water Purification
PMC - PMC9132933
COIS- The authors declare no competing interests.
EDAT- 2022/05/26 06:00
MHDA- 2022/05/28 06:00
PMCR- 2022/05/25
CRDT- 2022/05/25 23:21
PHST- 2022/03/31 00:00 [received]
PHST- 2022/05/13 00:00 [accepted]
PHST- 2022/05/25 23:21 [entrez]
PHST- 2022/05/26 06:00 [pubmed]
PHST- 2022/05/28 06:00 [medline]
PHST- 2022/05/25 00:00 [pmc-release]
AID - 10.1038/s41598-022-12643-1 [pii]
AID - 12643 [pii]
AID - 10.1038/s41598-022-12643-1 [doi]
PST - epublish
SO  - Sci Rep. 2022 May 25;12(1):8800. doi: 10.1038/s41598-022-12643-1.