Landslide Risk Assessment by Using a New Combination Model Based on a Fuzzy Inference System Method
Landslides are one of the most dangerous phenomena that pose widespread damage to property and human lives. Over the recent decades, a large number of models have been developed for landslide risk assessment to prevent the natural hazards. These models provide a systematic approach to assess the ris...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Springer
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/69650 |
| _version_ | 1848762097130799104 |
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| author | Azimi, S. Nikraz, Hamid Yazdani-Chamzini, A. |
| author_facet | Azimi, S. Nikraz, Hamid Yazdani-Chamzini, A. |
| author_sort | Azimi, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Landslides are one of the most dangerous phenomena that pose widespread damage to property and human lives. Over the recent decades, a large number of models have been developed for landslide risk assessment to prevent the natural hazards. These models provide a systematic approach to assess the risk value of a typical landslide. However, often models only utilize the numerical data to formulate a problem of landslide risk assessment and neglect the valuable information provided by experts’ opinion. This leads to an inherent uncertainty in the process of modelling. On the other hand, fuzzy inference systems are among the most powerful techniques in handling the inherent uncertainty. This paper develops a powerful model based on fuzzy inference system that uses both numerical data and subjective information to formulate the landslide risk more reliable and accurate. The results show that the proposed model is capable of assessing the landslide risk index. Likewise, the performance of the proposed model is better in comparison with that of the conventional techniques. |
| first_indexed | 2025-11-14T10:42:09Z |
| format | Journal Article |
| id | curtin-20.500.11937-69650 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:42:09Z |
| publishDate | 2018 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-696502020-06-02T02:17:20Z Landslide Risk Assessment by Using a New Combination Model Based on a Fuzzy Inference System Method Azimi, S. Nikraz, Hamid Yazdani-Chamzini, A. Landslides are one of the most dangerous phenomena that pose widespread damage to property and human lives. Over the recent decades, a large number of models have been developed for landslide risk assessment to prevent the natural hazards. These models provide a systematic approach to assess the risk value of a typical landslide. However, often models only utilize the numerical data to formulate a problem of landslide risk assessment and neglect the valuable information provided by experts’ opinion. This leads to an inherent uncertainty in the process of modelling. On the other hand, fuzzy inference systems are among the most powerful techniques in handling the inherent uncertainty. This paper develops a powerful model based on fuzzy inference system that uses both numerical data and subjective information to formulate the landslide risk more reliable and accurate. The results show that the proposed model is capable of assessing the landslide risk index. Likewise, the performance of the proposed model is better in comparison with that of the conventional techniques. 2018 Journal Article http://hdl.handle.net/20.500.11937/69650 10.1007/s12205-018-0041-7 Springer fulltext |
| spellingShingle | Azimi, S. Nikraz, Hamid Yazdani-Chamzini, A. Landslide Risk Assessment by Using a New Combination Model Based on a Fuzzy Inference System Method |
| title | Landslide Risk Assessment by Using a New Combination Model Based on a Fuzzy Inference System Method |
| title_full | Landslide Risk Assessment by Using a New Combination Model Based on a Fuzzy Inference System Method |
| title_fullStr | Landslide Risk Assessment by Using a New Combination Model Based on a Fuzzy Inference System Method |
| title_full_unstemmed | Landslide Risk Assessment by Using a New Combination Model Based on a Fuzzy Inference System Method |
| title_short | Landslide Risk Assessment by Using a New Combination Model Based on a Fuzzy Inference System Method |
| title_sort | landslide risk assessment by using a new combination model based on a fuzzy inference system method |
| url | http://hdl.handle.net/20.500.11937/69650 |