Investigation of urban land development and utilization using an intelligent AHP algorithm and decision support system
Abstract The development and use of urban land with sustainable planning is a challenging task. In the optimization of urban land usage plans, this article investigates a decision-making framework based on the Analytical Hierarchy Process (AHP) combined with an intuitionistic fuzzy set (IFS) for a m...
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Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-03181-7 |
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| author | Yanlin Cui |
| author_facet | Yanlin Cui |
| author_sort | Yanlin Cui |
| collection | DOAJ |
| description | Abstract The development and use of urban land with sustainable planning is a challenging task. In the optimization of urban land usage plans, this article investigates a decision-making framework based on the Analytical Hierarchy Process (AHP) combined with an intuitionistic fuzzy set (IFS) for a multi-criteria decision-making (MCDM) algorithm. The model considers several factors, including infrastructural demands, social effects, economic viability, and environmental sustainability, to manage the complexities and uncertainties inherent in urban land development. The framework of IFS is a more generalized and superior format of a fuzzy set. It can express both aspects of information in the form of degree of membership (DoM) and degree of non-membership (DoNM) under the range of interval $$\:\:\left[\text{0,1}\right]$$ . To address this type of situation, we aimed to develop AHP and Sugeno-weber t-norm (TNM) and t-conorm (TCNM) based aggregation operators (AOs) called intuitionistic fuzzy Sugeno-weber weighted averaging (IFSWWA) operators. The MCDM algorithm for AHP and derived AOs is presented, including the solution of real-life numerical examples for selecting the best plane for urban land development and utilization. To highlight the significance of the proposed approach, we will compare it with existing methodologies. Then, we discussed some solid conclusions. |
| format | Article |
| id | doaj-art-943b2aa979e7446b9b01b4229f514d2f |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-943b2aa979e7446b9b01b4229f514d2f2025-08-20T03:22:07ZengNature PortfolioScientific Reports2045-23222025-05-0115112010.1038/s41598-025-03181-7Investigation of urban land development and utilization using an intelligent AHP algorithm and decision support systemYanlin Cui0Gansu Institute of Natural Resources Planning and ResearchAbstract The development and use of urban land with sustainable planning is a challenging task. In the optimization of urban land usage plans, this article investigates a decision-making framework based on the Analytical Hierarchy Process (AHP) combined with an intuitionistic fuzzy set (IFS) for a multi-criteria decision-making (MCDM) algorithm. The model considers several factors, including infrastructural demands, social effects, economic viability, and environmental sustainability, to manage the complexities and uncertainties inherent in urban land development. The framework of IFS is a more generalized and superior format of a fuzzy set. It can express both aspects of information in the form of degree of membership (DoM) and degree of non-membership (DoNM) under the range of interval $$\:\:\left[\text{0,1}\right]$$ . To address this type of situation, we aimed to develop AHP and Sugeno-weber t-norm (TNM) and t-conorm (TCNM) based aggregation operators (AOs) called intuitionistic fuzzy Sugeno-weber weighted averaging (IFSWWA) operators. The MCDM algorithm for AHP and derived AOs is presented, including the solution of real-life numerical examples for selecting the best plane for urban land development and utilization. To highlight the significance of the proposed approach, we will compare it with existing methodologies. Then, we discussed some solid conclusions.https://doi.org/10.1038/s41598-025-03181-7Intuitionistic fuzzy setAnalytical hierarchy processSugeno-weber t-norm and t-conormMulti-criteria decision-making |
| spellingShingle | Yanlin Cui Investigation of urban land development and utilization using an intelligent AHP algorithm and decision support system Scientific Reports Intuitionistic fuzzy set Analytical hierarchy process Sugeno-weber t-norm and t-conorm Multi-criteria decision-making |
| title | Investigation of urban land development and utilization using an intelligent AHP algorithm and decision support system |
| title_full | Investigation of urban land development and utilization using an intelligent AHP algorithm and decision support system |
| title_fullStr | Investigation of urban land development and utilization using an intelligent AHP algorithm and decision support system |
| title_full_unstemmed | Investigation of urban land development and utilization using an intelligent AHP algorithm and decision support system |
| title_short | Investigation of urban land development and utilization using an intelligent AHP algorithm and decision support system |
| title_sort | investigation of urban land development and utilization using an intelligent ahp algorithm and decision support system |
| topic | Intuitionistic fuzzy set Analytical hierarchy process Sugeno-weber t-norm and t-conorm Multi-criteria decision-making |
| url | https://doi.org/10.1038/s41598-025-03181-7 |
| work_keys_str_mv | AT yanlincui investigationofurbanlanddevelopmentandutilizationusinganintelligentahpalgorithmanddecisionsupportsystem |