Risk assessment of hot and humid environments through an integrated fuzzy AHP-VIKOR method

Ramavandi, Bahman; Darabi, Amir Hossein; Omidvar, Mohsen Erfanian

doi:10.1007/s00477-021-01995-1

Cited by 16 publications

(14 citation statements)

References 32 publications

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“…Since the classic MCDM tools do not take into account the risk orientations of the decision-makers, the situation arises that the model is insufficient in the face of dynamic changes 27 . Unforeseen parameters such as sudden population changes, catastrophes, unfavorable conditions due to climate change, lack of space, energy costs lead to the fact that the phenomenon that manages the uncertainty is chosen according to the behavior of risk avoidance and not loss avoidance.…”

Section: Methodsmentioning

confidence: 99%

“…In order to make more rational decisions and handle uncertain environment hybrid methods are more useful and reliable tools due to well-organized and integrated solution mechanisms for required tasks such as weight evaluation, aggregated weighting, ranking of alternatives and achievement of compromise solutions in MCDM process 12 , 21 – 23 . The other advantages of hybrid models in multi-criteria decision problems are: Ability to use the integration of the capabilities of more than one technique to solve complex problems involving variety of information and, to transform both quantitative and qualitative data into aggregate weights to place them in a membership function 24 – 27 .…”

Section: Introductionmentioning

confidence: 99%

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A novel fuzzy framework for technology selection of sustainable wastewater treatment plants based on TODIM methodology in developing urban areas

Eseoglu

Yapsakli

Tozan

et al. 2022

Sci Rep

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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.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel fuzzy framework for technology selection of sustainable wastewater treatment plants based on TODIM methodology in developing urban areas

Eseoglu

Yapsakli

Tozan

et al. 2022

Sci Rep

View full text Add to dashboard Cite

show abstract

“…With FVIKOR, a compromise solution is achieved with maximum group utility of the majority and minimum individual regret of the opponent (Celik et al 2021 ; Samanlioglu 2019 ). Some extensions of VIKOR in fuzziness have been merged with MCDM and applied to the risk assessment problems in recent years (Ramavandi et al 2021 ; Erdoğan et al 2021 ; Rathore et al 2021 ; Guo et al 2019 ; Gul et al 2019 ; Mete et al 2019 ; Gul and Ak 2018 ; Tian et al 2018 ; Mohsen and Fereshteh 2017 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Control measure prioritization in Fine − Kinney-based risk assessment: a Bayesian BWM-Fuzzy VIKOR combined approach in an oil station

Gül

Yücesan

2022

Environ Sci Pollut Res

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The Fine − Kinney is a risk assessment method widely used in many industries due to its ease of use and quantitative risk evaluation. As in other methods, it is a method that recommends taking a series of control measures for operational safety. However, it is not always possible to implement control measures based on the determined priorities of the risks. It is considered that determining the priorities of these measures depends on many criteria such as applicability, functionality, performance, and integrity. Therefore, this study has studied the prioritization of control measures in Fine − Kinney-based risk assessment. The criteria affecting the prioritization of control measures are hierarchically structured, and the importance weights of the criteria are determined by the Bayesian Best–Worst Method (BBWM). The priorities of control measures were determined with the fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (FVIKOR) method. The proposed model has been applied to the risk assessment process in a petrol station’s liquid fuel tank area. According to the results obtained with BBWM, the most important criterion affecting the prioritization of control measures is the applicability criterion. It has an importance weight of about 42%. It is followed by performance with 31%, functionality with 18%, and integrity with 10%, respectively. FVIKOR results show that the “Periodic control of the ventilation device” measure is the top priority for Fine − Kinney risk assessment. “The absence of any ducts or sewer pits that may cause gas accumulation in the tank area and near the dispenser; Yellow line marking of entry and exit and vehicle roads; Placing of speed limit warning signs” has been determined as a secondary priority. On conclusion, this proposed model is expected to bring a new perspective to the work of occupational health and safety analysts, since the priority suggested by Fine − Kinney risk analysis methods is not always in the same order as the one in the stage of taking action, and the source, budget, and cost/benefit ratio of the measure affect this situation in practice. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-022-19454-x.

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“…The v value is crucial in ranking the alternatives (i.e., sub-watersheds). A similar analysis was conducted by (Suh et al 2019;Ramavandi et al 2021) to examine the model's applicability for decision making. From Figure 6, it is evident that SW-13, SW-17, SW-18 and SW-21 are not affected by changing values of v. Hence, it indicates the robustness of results from the model in which the risk priority of these sub-watersheds is similar to maximum group utility (S j ) and minimum individual regret (R j ).…”

Section: Sensitivity Analysis Of Mcdm Modelmentioning

confidence: 99%

Prioritization and identification of vulnerable sub-watersheds using morphometric analysis and an integrated AHP-VIKOR method

et al. 2022

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The current study used satellite imagery datasets to extract various morphometric parameters in a geospatial environment to prioritize the problematic areas in the Rarhu watershed of Ranchi district, Jharkhand, India. Two decision-making methods, AHP and VIKOR, were integrated for prioritizing different sub-watershed. The Rarhu watershed has an area of 630 km2 with an elevation ranging from 824 to 210 m. NASADEM was used to extract drainage networks which were verified from Survey of India (SOI) toposheets. To prioritize 21 sub-watersheds using the MCDM method, 11 morphometric parameters were selected from linear, areal, and relief parameters. The VIKOR method prioritized sub-watersheds using AHP criteria weights, which are classified into four priority levels ranging from very high to low. In addition, performing sensitivity analysis validated the robustness of the decision-making model. As per the analysis, Rarhu watershed has an elongated shape and the highest 6th order stream with a dendritic pattern of streams. Nearly 36.17% of the area is more vulnerable with very high priority. Using the results of the study, policymakers, watershed planners, watershed development programme, and soil and water conservation programme can identify vulnerable sub-watersheds that require urgent adaptation of soil and water management control measures.

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Risk assessment of hot and humid environments through an integrated fuzzy AHP-VIKOR method

Cited by 16 publications

References 32 publications

A novel fuzzy framework for technology selection of sustainable wastewater treatment plants based on TODIM methodology in developing urban areas

A novel fuzzy framework for technology selection of sustainable wastewater treatment plants based on TODIM methodology in developing urban areas

Control measure prioritization in Fine − Kinney-based risk assessment: a Bayesian BWM-Fuzzy VIKOR combined approach in an oil station

Prioritization and identification of vulnerable sub-watersheds using morphometric analysis and an integrated AHP-VIKOR method

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