Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study
(Lanzhou, China)
Bibliographic Data
| ID | 22033699 |
|---|---|
| Authors | Jiamin Liu (0000-0003-4078-1772, Lanzhou University), Yueshi Li (0000-0001-9448-9879, Lanzhou University), Bin Xiao (0000-0002-6370-6946, Lanzhou University), Jizong Jiao (0000-0003-2924-9814, Lanzhou University, corresponding author) |
| Year | 2021 |
| Volume | 10 |
| Issue | 6 |
| Pages | 403 |
| Publication date | 2021-06-11 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi10060403 |
| OpenAlex | W3166181247 |
| Language | EN |
| Citations received | 2 |
| References cited | 70 |
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
Analytic hierarchy process · Cluster analysis · Data mining · Delphi method · Fuzzy logic · Mathematical optimization · Multiple-criteria decision analysis · Operations research · Site selection · Weighting · Computer Science · Mathematics · Multi-Criteria Decision Making · Municipal Solid Waste Management · Recycled Aggregate Concrete Performance · Artificial Intelligence
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| Citations per year | 0.5 |
|---|---|
| Citation span | 2022 - 2025 (4) |
| Highly cited | No |