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基于云理论、粗集和模糊神经网络的区域橡胶种植适宜度评估模型
引用本文:曹阳,宋伟东.基于云理论、粗集和模糊神经网络的区域橡胶种植适宜度评估模型[J].测绘科学,2009,34(6).
作者姓名:曹阳  宋伟东
作者单位:1. 辽宁工程技术大学测绘与地理科学学院,辽宁,阜新,123000;中国测绘科学研究院,北京,100039
2. 辽宁工程技术大学测绘与地理科学学院,辽宁,阜新,123000
基金项目:教育部高等学校博士学科点专项科研基金,国家自然科学基金,辽宁工程技术大学研究生科研基金 
摘    要:针对橡胶种植适宜性评估,基于云理论、粗集理论和模糊神经网络理论,提出了一种适宜度评估模型。该模型将转化的样本数据进行粗集简约,通过模糊神经网络得出评价因子的隶属函数,计算评价等级。研究结果表明,此模型能够科学、快速、准确地分析出橡胶种植最适宜区、适宜区、次适宜区和不适宜区。

关 键 词:云理论  粗集  模糊神经网络  空间聚类分析  适宜度评估

Rubber planting suitability evaluation model based on cloud theory, rough set and fuzzy neural network
CAO Yang,SONG Wei-dong.Rubber planting suitability evaluation model based on cloud theory, rough set and fuzzy neural network[J].Science of Surveying and Mapping,2009,34(6).
Authors:CAO Yang  SONG Wei-dong
Abstract:According to rubber growth suitability evaluation, the new rubber planting suitability evaluation model based on the cloud theory, rough set and fuzzy neural network was put forward. By using the model, sample data of rubber planting was reduced by rough set. Then, applying fuzzy neural network can obtain the membership of each evaluation element and calculate evaluation grade. The relevant research shows that the model can scientifically, fleetly and accurately divide the study area into the most suitable area, suitable area, the less suitable area and unsuitable area.
Keywords:cloud theory  rough set  fuzzy neural network  spatial clustering analysis  suitability evaluation
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