A comparative assessment of prediction capabilities of modified analytical hierarchy process M AHP a

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Full Terms & Conditions of access and use can be found at Download by: [University of Eastern Finland] Date: 28 August 2017, At: 00:56 Geomatics, Natural Hazards and Risk ISSN: 1947-5705 (Print) 1947-5713 (Online) Journal homepage: A comparative assessment of prediction capabilities of modified analytical hierarchy process (M-AHP) and Mamdani fuzzy logic models using Netcad-GIS for forest fire susceptibility mapping Hamid reza Pourghasemi, Masood Beheshtirad & Biswajeet Pradhan To cite this article: Hamid reza Pourghasemi, Masood Beheshtirad & Biswajeet Pradhan (2016) A comparative assessment of prediction capabilities of modified analytical hierarchy process (M- AHP) and Mamdani fuzzy logic models using Netcad-GIS for forest fire susceptibility mapping, Geomatics, Natural Hazards and Risk, 7:2, 861-885, DOI: 10.1080/19475705.2014.984247 To link to this article: © 2014 Taylor & Francis Published online: 01 Dec 2014. Submit your article to this journal Article views: 734 View related articles View Crossmark data Citing articles: 2 View citing articles
A comparative assessment of prediction capabilities of modified analytical hierarchy process (M-AHP) and Mamdani fuzzy logic models using Netcad-GIS for forest fire susceptibility mapping HAMID REZA POURGHASEMI y * , MASOOD BEHESHTIRAD z and BISWAJEET PRADHAN x y Department of Natural Resources and Environment, College of Agriculture, Shiraz University, Shiraz, Iran z Department of Natural Resources, Sirjan Branch, Islamic Azad University, Sirjan, Iran x Department of Civil Engineering, Faculty of Engineering, Geospatial Information Science Research Center (GISRC), University Putra Malaysia, Serdang 43400, Malaysia ( Received 31 May 2014; accepted 1 November 2014 ) The main purpose of this study is to assess forest fire susceptibility maps (FFSMs) and their performances comparison using modified analytical hierarchy process (M-AHP) and Mamdani fuzzy logic (MFL) models in a geographic information system (GIS) environment. This study was carried out in the Minudasht Forests, Golestan Province, Iran, and was conducted in three main stages such as spatial data construction, forest fire modelling using M-AHP and MFL, and validation of constructed models using receiver operating characteristic (ROC) curve. At first, seven conditioning factors, such as altitude, slope aspect, slope angle, annual temperature, wind effect, land use, and normalized different vegetation index, were extracted from the spatial database. In the next step, FFSMs were prepared using M-AHP and MFL modules in a Netcad-GIS Architect environment. Finally, the ROC curves and area under the curves (AUCs) were estimated for validation purposes. The results showed that the AUCs for MFL and M-AHP are 88.20% and 77.72%, respectively. The results obtained in this study also showed that the MFL model performed better than the M-AHP model. These FFSMs can be applied for land use planning, management, and prevention of future fire hazards.

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