Show simple item record

dc.contributor.authorAzimi, S.
dc.contributor.authorNikraz, Hamid
dc.contributor.authorYazdani-Chamzini, A.
dc.date.accessioned2018-08-08T04:41:50Z
dc.date.available2018-08-08T04:41:50Z
dc.date.created2018-08-08T03:50:43Z
dc.date.issued2018
dc.identifier.citationAzimi, S. and Nikraz, H. and Yazdani-Chamzini, A. 2018. Landslide Risk Assessment by Using a New Combination Model Based on a Fuzzy Inference System Method. KSCE Journal of Civil Engineering. 22 (11): pp. 4263-4271.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/69650
dc.identifier.doi10.1007/s12205-018-0041-7
dc.description.abstract

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.

dc.publisherSpringer
dc.titleLandslide Risk Assessment by Using a New Combination Model Based on a Fuzzy Inference System Method
dc.typeJournal Article
dcterms.source.startPage1
dcterms.source.endPage9
dcterms.source.issn1226-7988
dcterms.source.titleKSCE Journal of Civil Engineering
curtin.note

This is a post-peer-review, pre-copyedit version of an article published in KSCE Journal of Civil Engineering. The final authenticated version is available online at: https://doi.org/10.1007/s12205-018-0041-7

curtin.departmentSchool of Civil and Mechanical Engineering (CME)
curtin.accessStatusOpen access


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record