ArticleEnvironmental science and pollution research international2020
Evaluation of landfill sites using GIS-based MCDA with hesitant fuzzy linguistic term sets.
Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Development of ranking alternatives of micro-cup production from directionally rolled copper rods using the Intuitionistic Fuzzy MARCOS method.Scientific reports · 2026Article
- Review
- Clean energy selection for sustainable development by using entropy-based decision model with hesitant fuzzy information.Environmental science and pollution research international · 2022Article
- Factors Determining Suitable Landfill Sites for Energy Generation from Municipal Solid Waste: A Case Study of Jabodetabek Area, Indonesia.TheScientificWorldJournal · 2022Article
- Landfill Site Selection Using GIS Based Multicriteria Evaluation Technique in Harar City, Eastern Ethiopia.Environmental health insights · 2021Article
- Pyrolysis for Nylon 6 Monomer Recovery from Teabag Waste.Polymers · 2020Article
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Authors and funding
3 authors.
Funding
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Abstract
There are many criteria to be considered in environmental, social, and economic issues for the landfill site selection (LSS). Multi-criteria decision analysis (MCDA) methods are often used to solve complex decision-making problems such as LSS. However, decision-makers (DMs) may hesitate during the evaluation of the landfill sites with possible incorrect evaluation concerns. Therefore, the inclusion of the hesitant fuzzy linguistic term sets (HFLTS), which considers the hesitations in the preferences of DMs, is suitable for the solution of the problem. On the other hand, geographic information systems (GIS) is an important decision support tool that can analyze different types of spatial data. The aim of this study is to evaluate landfill sites. To do so, the applied approach includes the processes of identifying appropriate alternative sites for landfills by combining HFLTS-based MCDA method and GIS and evaluation of alternative sites with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The applicability of the proposed approach is tested on Samsun city, Turkey. As a result, scenario analysis, which is dominated by environmental criteria, provides better results dominated by social-economic criteria. Consequently, 12 alternative locations are selected and evaluated for the LSS. Atakum and Canik districts of Samsun city are determined as very suitable locations for landfill sites.
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