Evaluation of landfill sites using GIS-based MCDA with hesitant fuzzy linguistic term sets

Özkan, Barış; Sarıçiçek, İnci; Özceylan, Eren

doi:10.1007/s11356-020-10128-0

Cited by 29 publications

(14 citation statements)

References 56 publications

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“…Different influencing criteria from various disciplines including proximity from built-up, surface water, episodic water channels, boreholes, sensitive sites, protected areas, major faults, LULC, lithology/geology, soil type, elevation, slopes, proximity from airport, roads, railway, and earthquake epicentres are integrated into this study. These influencing criteria have been employed in various landfills siting studies elsewhere but in different combinations (Hazarika & Saikia, 2020;Kazuva et al, 2020;Ö zkan et al, 2020;Rezaeisabzevar et al, 2020;Sisay et al, 2020). However, these criteria apply differently to different areas (Babalola & Busu, 2011;Sadek et al, 2006).…”

Section: Discussionmentioning

confidence: 99%

“…MCDA consists of various methods of evaluating spatial challenge however, AHP and WLC techniques are widely used in various suitability studies. A number of studies worldwide involving AHP multi-criteria in the evaluation of the spatial decision include (Alkaradaghi et al, 2019;Das & Pal, 2020;Kumari & Pandey, 2020;Ruiz et al, 2020) and studies involving the WLC method (Coscrato et al, 2020;Msabi & Makonyo, 2020;Yin et al, 2020) and GISbased for landfill sites selection (Chabok et al, 2020;Karakuş et al, 2020;Ö zkan et al, 2020;Tercan et al, 2020). Therefore, the MCDA technique is widely accepted for analysing complex decision problems involving criteria with conflicting objectives (Hwang & Lin, 2012;Malczewski, 2006).…”

Section: Multi-criteria Decision Analysismentioning

confidence: 99%

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Potential landfill sites selection using GIS-based multi-criteria decision analysis in Dodoma capital city, central Tanzania

Makonyo

Msabi

2021

GeoJournal

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Solid waste management is a global challenge, especially in developing countries due to the rapid increase in population and urbanization where the availability of sanitary landfills is inevitable. Determining suitable landfill sites is a fundamental aspect for new and rapidly growing cities. The current study is aimed at selecting potential landfill sites using GIS-based multi-criteria decision analysis in Dodoma capital city. Fifteen criteria including proximity from built-up areas, surface water, boreholes, sensitive sites including social service areas, episodic water channels, protected areas including historical sites, faults, land use/land cover, geology, soil type, elevation, slopes, airport, roads, and earthquake epicentres were integrated with the help of analytical hierarchy process (AHP). The landfill sites' suitability map was produced based on the weighted linear combination method and assigned suitability classes as highly suitable, suitable, moderately suitable, less suitable, and unsuitable. The overall suitability results show that 41,177 ha (14.7%) of the study area is determined as highly suitable for landfills site location. The remaining 83,930 ha (30%), 84,305 ha (30.2%), and 53,508 ha (19.1%) of the area are suitable, moderately suitable, and less suitable respectively while 16,683 ha (6%) is under the unsuitable zone. From the highly suitable area, eleven candidate landfill sites were selected and prioritized using the AHP technique. The final results show landfill site 3 (10,361.94 ha), 5 (3717.85 ha), and 2 (3535.86 ha) were found to be the most highly suitable sites with eigenvector weight of 0.147, 0.122, and 0.121 respectively. Landfill sites 8, 7, and 6 were lastly considered. Field observation involving expertise from geology, hydrogeology, geophysical, and environment confirmed the suitability of selected sites. Thus, these techniques can be employed in developing countries to locate suitable landfill sites to minimize health and environmental impacts.

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Section: Discussionmentioning

confidence: 99%

Section: Multi-criteria Decision Analysismentioning

confidence: 99%

Potential landfill sites selection using GIS-based multi-criteria decision analysis in Dodoma capital city, central Tanzania

Makonyo

Msabi

2021

GeoJournal

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“…30 Many variants of HFLTSs have been put forward, such as the double hierarchy linguistic term set (LTS), 31,32 unbalanced HFLTS, 33 hesitant probabilistic fuzzy linguistic set, 34 and hesitant multiplicative LTSs. 35 HFLTSs have various applications, such as the evaluation of landfill sites, 36 medicine selection, 37 recommender system, 38 and healthcare service. 39 To handle the unique structure of HFLTSs, various decision-making methods have been proposed, such as the MULTIMOORA method, 40 aggregation operators, 28 TOPSIS method, 41 VIKOR method, 42,43 EDAS method, 44 and ELECTRE II method.…”

Section: Studies On Handling Hfltssmentioning

confidence: 99%

“…Many variants of HFLTSs have been put forward, such as the double hierarchy linguistic term set (LTS), 31,32 unbalanced HFLTS, 33 hesitant probabilistic fuzzy linguistic set, 34 and hesitant multiplicative LTSs 35 . HFLTSs have various applications, such as the evaluation of landfill sites, 36 medicine selection, 37 recommender system, 38 and healthcare service 39 …”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of startup companies using multicriteria decision making based on hesitant fuzzy linguistic information envelopment analysis models

Lin

Chen

et al. 2021

Int J Intell Syst

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Evaluating startup companies is an important management process for technology business incubators and it is also a typical multicriteria decision‐making (MCDM) problem. There exist various methods that have proposed to solve MCDM problems, but these methods heavily depend on the exact criteria weight values. The decision results of these methods are unstable. Moreover, they cannot provide the improvement suggestions for the nonoptimal startup companies. To overcome these two drawbacks, we propose a novel hesitant fuzzy linguistic decision‐making method to solve the problem of evaluating startup companies. To this end, a novel semantic comparison method based on the experts' psychology and the ratio of score value to deviation degree is proposed to compare the hesitant fuzzy linguistic term sets. Then, a novel definition of hesitant fuzzy linguistic information envelopment efficiency (HFLIEE) is proposed, based on which, a novel hesitant fuzzy linguistic information envelopment analysis (HFLIEA) model and a novel preference model are proposed. By solving these models, all the alternatives can be ranked and nonoptimal alternatives can be improved. Finally, the numerical analysis is given to illustrate the applicability of the proposed models and the robustness analyses of the proposed models are provided. At the same time, they are compared with the previous hesitant fuzzy linguistic decision‐making methods.

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“…This study was conducted in Samsun, Turkey. Due to the results, studying environmental criteria along with socioeconomic measures shows better results (Ozkan et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Application AHP-PROMETHEE Technic for Landfill Site Selection on Based Assessment of Aquifers Vulnerability to Pollution

Abad

Pazira

Abadi³

et al. 2021

Iran J Sci Technol Trans Civ Eng

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Choosing a suitable location for the disposal of municipal solid waste is an important environmental problem. Thus, locating a municipal solid waste landfill has been very important. Leachate from the solid waste landfill causes the contamination of groundwater. However, the process is complicated and is based on qualitative and quantitative criteria. Therefore, in this paper, a hybrid approach for determining the optimal location of a municipal solid waste landfill has been presented. Additionally, the present study attempts to evaluate the potential of aquifer contamination vulnerability on the proposed landfill sites using a DRASTIC model of Plain Zanjan and provide a zoning map of vulnerable areas. In this study, the DRASTIC model for aquifer vulnerability mapping is used. This model consists of seven hydrogeological parameters effective in contaminating the aquifer. The parameters appear in the GIS software as seven layers on which the analysis is performed. Considering the map of aquifer vulnerability and with regard to the potential aquifer contamination at various areas, it is possible to determine a suitable site for the landfill. At present, about 49.03% of the aquifers are in average vulnerability situation; by considering them, a suitable site for the landfill can be determined. Accordingly, the considered criteria were determined by AHP method; the weights of the layers were determined, and then the appropriate places were classified into three classes, high, moderate or low, using GIS software. Finally, zones located in the high classes were selected as the best locations for waste disposal by the PRPMOTHEE method, by taking into account the scientific limitations and conditions of the area. The results showed that proposed methods in this paper can be suitable to determine appropriate option for waste disposal. In the future, there can be a lot of studies for modeling to choose a suitable landfill due to some soil characteristics and applying other models of pollution to groundwater in the region.

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Evaluation of landfill sites using GIS-based MCDA with hesitant fuzzy linguistic term sets

Cited by 29 publications

References 56 publications

Potential landfill sites selection using GIS-based multi-criteria decision analysis in Dodoma capital city, central Tanzania

Potential landfill sites selection using GIS-based multi-criteria decision analysis in Dodoma capital city, central Tanzania

Evaluation of startup companies using multicriteria decision making based on hesitant fuzzy linguistic information envelopment analysis models

Application AHP-PROMETHEE Technic for Landfill Site Selection on Based Assessment of Aquifers Vulnerability to Pollution

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