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	Fuzzy Logic Model to Assess Desertification Intensity Based on Vulnerability Indices
	Sadeghiravesh, Mohammad Hassan; Khosravi, Hassan; Abolhasani, Azam; Ghodsi, Marzieh; Mosavi, Amirhosein
通讯作者	Khosravi, H (corresponding author), Univ Tehran, Fac Nat Resources, Dept Reclamat Arid & Mt Reg, 1 Enghelab Str, Tehran 315853314, Iran. ; Mosavi, A (corresponding author), Ton Duc Thang Univ, Atmospher Sci & Climate Change Res Grp, Ho Chi Minh City, Vietnam. ; Mosavi, A (corresponding author), Ton Duc Thang Univ, Fac Environm & Labour Safety, Ho Chi Minh City, Vietnam.
来源期刊	ACTA POLYTECHNICA HUNGARICA
ISSN	1785-8860
出版年	2021
卷号	18 期号:3 页码:7-24
英文摘要	Executive practices on desertification control should be based on recognizing the current desertification state and its severity. So, it is essential to assess the ways to give zoning based on logic, active principles, and theoretical foundation for the management of desert regions. For this aim, 30 useful indices on desertification were determined in two human and natural sections. The significance of indices relative to each other and each index's importance per work unit was determined using the Delphi method. The Bonissone method in the framework of the Fuzzy Multiple Attribute Decision Making (FMADM) method was used to combine indices and determine desertification intensity in each working unit. Then, data were converted to the Fuzzy layer using Chen and Wang method, and Fuzzy analysis was performed on data. Finally, Fuzzy data were changed to non-Fuzzy, and desertification intensity was estimated. The results showed that 9.35% of the study area was in a very high class regarding desertification intensity and 9.36% of the region was in relatively high class. Desertification with moderate intensity (50.64%) and a relatively moderate intensity (29.45%) had the most shares in the study area, respectively. The quantitative value of desertification potential in the whole area from all of the components was obtained as 0.083, relatively high. This study shows the efficiency and ease of Fuzzy logic application for assessing desertification intensity.
英文关键词	fuzzy logic Bonissone method artificial intelligence vulnerability zoning
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000629022600001
WOS关键词	HIERARCHY PROCESS ; TOPSIS ; AHP
WOS类目	Engineering, Multidisciplinary
WOS研究方向	Engineering
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/349268
作者单位	[Sadeghiravesh, Mohammad Hassan] Islamic Azad Univ, Takestan Branch, Coll Agr, Dept Environm, 1 Enghelab Str, Takestan, Iran; [Khosravi, Hassan; Abolhasani, Azam] Univ Tehran, Fac Nat Resources, Dept Reclamat Arid & Mt Reg, 1 Enghelab Str, Tehran 315853314, Iran; [Ghodsi, Marzieh] Univ Tehran, Fac Geog, 1 Enghelab Str, Tehran 315853314, Iran; [Mosavi, Amirhosein] Ton Duc Thang Univ, Atmospher Sci & Climate Change Res Grp, Ho Chi Minh City, Vietnam; [Mosavi, Amirhosein] Ton Duc Thang Univ, Fac Environm & Labour Safety, Ho Chi Minh City, Vietnam
推荐引用方式 GB/T 7714	Sadeghiravesh, Mohammad Hassan,Khosravi, Hassan,Abolhasani, Azam,et al. Fuzzy Logic Model to Assess Desertification Intensity Based on Vulnerability Indices[J],2021,18(3):7-24.
APA	Sadeghiravesh, Mohammad Hassan,Khosravi, Hassan,Abolhasani, Azam,Ghodsi, Marzieh,&Mosavi, Amirhosein.(2021).Fuzzy Logic Model to Assess Desertification Intensity Based on Vulnerability Indices.ACTA POLYTECHNICA HUNGARICA,18(3),7-24.
MLA	Sadeghiravesh, Mohammad Hassan,et al."Fuzzy Logic Model to Assess Desertification Intensity Based on Vulnerability Indices".ACTA POLYTECHNICA HUNGARICA 18.3(2021):7-24.