Identification of the Groundwater Potential Recharge Zones Using MCDM Models: Full Consistency Method (FUCOM), Best Worst Method (BWM) and Analytic Hierarchy Process (AHP)

Akbari, Maryam; Meshram, Sarita Gajbhiye; Krishna, R.S.; Pradhan, Biswajeet; Shadeed, Sameer; Khedher, Khaled Mohamed; Sepehri, Mehdi; Ildoromi, Alireza; Alimerzaei, Fereshteh; Darabi, Fariba

doi:10.1007/s11269-021-02924-1

Cited by 37 publications

(5 citation statements)

References 76 publications

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“…Biswas et al ( 2021 ) stated that making (n − 1 number) comparisons in FUCOM decreases the inconsistency due to judgment. Akbari et al ( 2021 ) reported that the FUCOM methodology removed the redundancy of comparisons in criteria pairs. Required pairwise comparisons for FUCOM, AHP, and BMW methods are given in Table 9 .…”

Section: Resultsmentioning

confidence: 99%

“…Similarly, the Full Consistency Method (FUCOM) method, recently added to the literature by Pamučar et al ( 2018 ), is discussed by different disciplines. In the literature survey, it was noticed that the FUCOM had been used in many other fields such as; site selection for textile production (Ulutaş & Karakuş 2021 ), landfill site selection (Badi & Kridish, 2020 ) determination of groundwater potential (Akbari et al 2021 ), site selection for solar panel energy (Cao et al 2019 ), wind farm site selection (Ecer, 2021 ), mapping the mineral potential (Feizi et al 2021 ), selection of technologies for municipal wastewater treatment (Srivastava & Singh, 2021 ). However, agricultural land suitability and suitable site selection studies for different crops are not available in the literature with the use of FUCOM.…”

Section: Introductionmentioning

confidence: 99%

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Suitable site selection by using full consistency method (FUCOM): a case study for maize cultivation in northwest Turkey

Everest

Savaşkan

et al. 2022

Environ Dev Sustain

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The agricultural land evaluation procedure is a valuable guide for growing plants where they are best suitable, and it has a critical role in actualizing sustainable plans for providing food security for the growing population. In agricultural land suitability analysis, different multi-criteria decision-making methods are applied. The main objective of this study is to introduce the potential usage of a new multi-criteria decision-making method the Full Consistency Method (FUCOM) in agricultural land suitability analysis. The study was carried out in the northern part of the Karamenderes plain in NW Turkey. Nine land characteristics (soil texture, soil depth, organic matter content, electrical conductivity, pH, slope, drainage, CaCO 3 %, and cation exchange capacity) were used for the land evaluation study. The weighting values of the land characteristics were calculated by the FUCOM. According to the results, 223 ha (6.26%) were highly suitable, 2650 ha (74.40%) were moderately suitable, 508 ha (14.26%) were marginally suitable, and 181 ha (5.08%) were not suitable for maize cultivation. The weighted values of the parameters were also tested with Analytic Hierarchy Process (AHP) and the Best-Worst Method (BWM). There is a general compatibility between the methodologies. The data obtained from these methods showed that analysis consists of a very positive relationship with each other. The comparisons of these methodologies showed that FUCOM’s prioritization order simplicity in parameter weighting and ability to reduce the processing intensity would provide a significant contribution and advantage to the land evaluation experts and planners. It is recommended that the Full Consistent Method could be reliably used in agricultural land suitability analysis.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Suitable site selection by using full consistency method (FUCOM): a case study for maize cultivation in northwest Turkey

Everest

Savaşkan

et al. 2022

Environ Dev Sustain

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“…Then, an integrated FBWM-FANP method is applied to calculate the criteria weights. The main advantages of combining the two mentioned approaches are reducing/increasing the cognitive burden/reliability of calculation processes (by using FBWM), and incorporating the interrelationships between criteria (by using FANP) [36,37,38]. Finally, the potential strategies are ranked applying FVIKOR method.…”

Section: Methodsmentioning

confidence: 99%

An integrated decision-making framework for selecting the best strategies of water resources management in pandemic emergencies

et al. 2023

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In recent years, due to COVID 19 pandemic that has resulted in an unpredictable increase in water consumption, the global concerns about water resources management have been increased. Furthermore, it seems essential to focus on strategies enabling to decrease water consumption. So, the aim of this study is to identify and prioritize the potential strategies of water resources management during such pandemic. To do so, we develop a hybrid decisionmaking approach. At first, the potential strategies are identified by SWOT analysis while the relevant criteria are identified based on the literature review and experts' opinions. Afterwards, potential interrelationships between criteria are determined using fuzzy DEMATEL. Then, an integrated FBWM-FANP method is applied to calculate the global weights of criteria. Eventually, the fuzzy VIKOR is utilized to rank the potential strategies. Based on the obtained results, efficiency and economic measures are the most important criteria for selecting the strategies related to water resource management in COVID-19 pandemic. The strategy of advertising and informing about correct water consumption is the best strategy which indicates the power of advertising while it could be economic and efficient either.

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“…Also, comparing BWM with FUCOM, BWM requires a pair of comparison vectors for evaluation of criteria, whereas FUCOM only requires one vector that results on the reduction in number of comparisons. Moreover, FUCOM also calculates an error value DFC (deviation from full consistency) for the criteria weight, thereby providing a validation of the model [ 117 ]. Taking into consideration the advantages of FUCOM over other MCDM methods including AHP and BWM, this research justifies the selection of FUCOM for risk assessment of modular construction projects in Pakistan.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of critical risk factors in the implementation of modular construction

et al. 2022

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Modular construction is considered as a preferred construction method over conventional construction due to a number of benefits including reduction in project completion time, improved environmental performance, better quality, enhanced workers’ safety and flexibility. However, successful implementation of modular construction is hindered by various risk factors and uncertainties. Therefore, it is imperative to perform a comprehensive risk assessment of critical risk factors that pose a negative impact on the implementation of modular construction. Moreover, there is also a relatively less rate of modular construction adoption in developing countries, highlighting the need to focus more on underdeveloped regions. This study aims to propose a risk assessment framework for identification, evaluation and prioritization of critical risk factors affecting the implementation of modular construction in Pakistan. 20 risk factors were identified from previous literature which were then evaluated to shortlist the most significant risks using Fuzzy Delphi. The most significant risk factors were then prioritized using a novel Full-Consistency Method (FUCOM). The results specified ‘Inadequate skills and experience in modular construction’, ‘Inadequate capacity of modular manufacturers’ and ‘Inability to make changes in design during the construction stage’ as top three critical risks in the implementation of modular construction. This is the first study to propose a risk assessment framework for modular construction in Pakistan. The results of the study are useful to provide insights to construction industry practitioners in highlighting and eliminating risks involved in modular construction planning and execution.

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Identification of the Groundwater Potential Recharge Zones Using MCDM Models: Full Consistency Method (FUCOM), Best Worst Method (BWM) and Analytic Hierarchy Process (AHP)

Cited by 37 publications

References 76 publications

Suitable site selection by using full consistency method (FUCOM): a case study for maize cultivation in northwest Turkey

Suitable site selection by using full consistency method (FUCOM): a case study for maize cultivation in northwest Turkey

An integrated decision-making framework for selecting the best strategies of water resources management in pandemic emergencies

Evaluation of critical risk factors in the implementation of modular construction

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