Fuzzy evaluation of Arable Land Suitability based on three scale AHP method

Wen-Tao Huang, Xinwen Cheng
{"title":"Fuzzy evaluation of Arable Land Suitability based on three scale AHP method","authors":"Wen-Tao Huang, Xinwen Cheng","doi":"10.1109/GEOINFORMATICS.2015.7378680","DOIUrl":null,"url":null,"abstract":"Evaluation of Arable Land Suitability has many complicated and various influence factors. There are lots of methods about weight determination of factors in similar researches. Most of them are to be improved for the accuracy, and some evaluation models are restricted to a specific area for only considering natural attribute, ignoring the social and economic attribute. Three Scale AHP Method was used in this paper to determine the grades-the weight of factors. An Evaluation method was proposed based on fuzzy mathematics. Firstly, the evaluation matrix of the lowest layer factors by expert evaluation method is introduced, and the lowest layer factors by four fuzzy evaluation models are identified after normalized. Secondly, it combined with the weight to calculate the evaluation results of this layer and take the result as fuzzy relation matrix of previous layer. In turn until the top layer. Finally, we can obtain the final evaluation results. The results show that this method can be well applied to land suitability evaluation.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 23rd International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Evaluation of Arable Land Suitability has many complicated and various influence factors. There are lots of methods about weight determination of factors in similar researches. Most of them are to be improved for the accuracy, and some evaluation models are restricted to a specific area for only considering natural attribute, ignoring the social and economic attribute. Three Scale AHP Method was used in this paper to determine the grades-the weight of factors. An Evaluation method was proposed based on fuzzy mathematics. Firstly, the evaluation matrix of the lowest layer factors by expert evaluation method is introduced, and the lowest layer factors by four fuzzy evaluation models are identified after normalized. Secondly, it combined with the weight to calculate the evaluation results of this layer and take the result as fuzzy relation matrix of previous layer. In turn until the top layer. Finally, we can obtain the final evaluation results. The results show that this method can be well applied to land suitability evaluation.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于三尺度AHP法的耕地适宜性模糊评价
耕地适宜性评价的影响因素复杂多样。在同类研究中,因子权重的确定方法有很多。多数评价模型的准确性有待提高,有些评价模型只考虑自然属性,而忽略了社会经济属性,局限于某一特定区域。本文采用三量表层次分析法确定各因素的权重等级。提出了一种基于模糊数学的评价方法。首先,引入专家评价法对最低层因子的评价矩阵,并对四种模糊评价模型进行归一化后的最低层因子识别;其次,结合权重计算本层的评价结果,并将结果作为前一层的模糊关系矩阵;依次到最上面一层。最后得到最终的评价结果。结果表明,该方法可以很好地应用于土地适宜性评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A conceptual framework for the design of geo-dynamics visualization Research and application of Jinggangshan geological disaster prevention system based on wireless sensor network system Random forests methodology to analyze landslide susceptibility: An example in Lushan earthquake Identification of the Yancheng region water quality using GIS and fuzzy synthetic evaluation approach The progress in the research of flood damage loss assessment
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1