Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China)
The siting of Municipal Solid Waste (MSW) landfills is a complex decision process. Existing siting methods utilize expert scores to determine criteria weights, however, they ignore the uncertainty of data and criterion weights and the efficacy of results. In this study, a coupled fuzzy Multi-Criteri...
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MDPI AG
2021-06-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/10/6/403 |
| _version_ | 1797530368145883136 |
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| author | Jiamin Liu Yueshi Li Bin Xiao Jizong Jiao |
| author_facet | Jiamin Liu Yueshi Li Bin Xiao Jizong Jiao |
| author_sort | Jiamin Liu |
| collection | DOAJ |
| description | The siting of Municipal Solid Waste (MSW) landfills is a complex decision process. Existing siting methods utilize expert scores to determine criteria weights, however, they ignore the uncertainty of data and criterion weights and the efficacy of results. In this study, a coupled fuzzy Multi-Criteria Decision-Making (MCDM) approach was employed to site landfills in Lanzhou, a semi-arid valley basin city in China, to enhance the spatial decision-making process. Primarily, 21 criteria were identified in five groups through the Delphi method at 30 m resolution, then criteria weights were obtained by DEMATEL and ANP, and the optimal fuzzy membership function was determined for each evaluation criterion. Combined with GIS spatial analysis and the clustering algorithm, candidate sites that satisfied the landfill conditions were identified, and the spatial distribution characteristics were analyzed. These sites were subsequently ranked utilizing the MOORA, WASPAS, COPRAS, and TOPSIS methods to verify the reliability of the results by conducting sensitivity analysis. This study is different from the previous research that applied the MCDM approach in that fuzzy MCDM for weighting criteria is more reliable compared to the other common methods. |
| first_indexed | 2024-03-10T10:27:55Z |
| format | Article |
| id | doaj.art-0247b454e05c4f439dbd054aeeb46b20 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T10:27:55Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
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| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-0247b454e05c4f439dbd054aeeb46b202023-11-21T23:49:02ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-06-0110640310.3390/ijgi10060403Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China)Jiamin Liu0Yueshi Li1Bin Xiao2Jizong Jiao3College of Earth and Environment Sciences, Lanzhou University, Lanzhou 730000, ChinaCollege of Earth and Environment Sciences, Lanzhou University, Lanzhou 730000, ChinaCollege of Earth and Environment Sciences, Lanzhou University, Lanzhou 730000, ChinaCollege of Earth and Environment Sciences, Lanzhou University, Lanzhou 730000, ChinaThe siting of Municipal Solid Waste (MSW) landfills is a complex decision process. Existing siting methods utilize expert scores to determine criteria weights, however, they ignore the uncertainty of data and criterion weights and the efficacy of results. In this study, a coupled fuzzy Multi-Criteria Decision-Making (MCDM) approach was employed to site landfills in Lanzhou, a semi-arid valley basin city in China, to enhance the spatial decision-making process. Primarily, 21 criteria were identified in five groups through the Delphi method at 30 m resolution, then criteria weights were obtained by DEMATEL and ANP, and the optimal fuzzy membership function was determined for each evaluation criterion. Combined with GIS spatial analysis and the clustering algorithm, candidate sites that satisfied the landfill conditions were identified, and the spatial distribution characteristics were analyzed. These sites were subsequently ranked utilizing the MOORA, WASPAS, COPRAS, and TOPSIS methods to verify the reliability of the results by conducting sensitivity analysis. This study is different from the previous research that applied the MCDM approach in that fuzzy MCDM for weighting criteria is more reliable compared to the other common methods.https://www.mdpi.com/2220-9964/10/6/403DEMATEL-ANPfuzzy logicclusteringsite selection |
| spellingShingle | Jiamin Liu Yueshi Li Bin Xiao Jizong Jiao Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China) ISPRS International Journal of Geo-Information DEMATEL-ANP fuzzy logic clustering site selection |
| title | Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China) |
| title_full | Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China) |
| title_fullStr | Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China) |
| title_full_unstemmed | Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China) |
| title_short | Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China) |
| title_sort | coupling fuzzy multi criteria decision making and clustering algorithm for msw landfill site selection case study lanzhou china |
| topic | DEMATEL-ANP fuzzy logic clustering site selection |
| url | https://www.mdpi.com/2220-9964/10/6/403 |
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