安徽农业科学2016,Issue(11) :217-221.

概念格在农地流转分析中的应用

The Application of Concept Lattice in the Analysis of Farmland Transfer

王晟昱
安徽农业科学2016,Issue(11) :217-221.

概念格在农地流转分析中的应用

The Application of Concept Lattice in the Analysis of Farmland Transfer

王晟昱1
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作者信息

  • 1. 南京农业大学公共管理学院,江苏南京210095
  • 折叠

摘要

针对农地流转已有研究模型不能完全满足不同研究目的需求这一问题,提出基于概念格理论解决农地流转研究中一些问题的方法.首先,选取化肥、有机肥、农药、劳动力、种子、农业长期投入、技术培训、机械共8个因子构建评价指标体系,并将此体系作为属性集,农户作为对象集,建立形式背景;其次,进行背景约简并找到该形式背景的概念格;最后,由概念格模型分析出满足某些评价指标的农户的组成,得到在一定的指标下完全满足条件的农户所具有的性质.通过这些示例了如何用概念格理论研究农户与评价指标之间的关系在求取所需内容时,与基于统计的模型(如线性回归)相比,概念格方法减少了数据所占用空间,是农地流转研究的一个新思路.

Abstract

To solve the problem which the existing research models of farmland transfer can not satisfy completely for the demands provided with different research purposes,a method based on concept lattice was proposed.Firstly,an evaluation index system was built up from eight factors including fertilizer,organic fertilizer,pesticide,labor,seed,agricultural long-term investment,technical training and machinery.Simultanously,this system was considered as the set of attributes and all of the peasants were considered as the set of objects.Thus,a context was set up.Secondly,the redution of the above context was carried out,and further,the concept lattice of this context was found.Finally,with the model of concept lattice,the composition of peasant households satisfying some evaluation indexes was presented,and some properties for the peasants who satisfy all of conditions were obtained.These results show how to apply concept lattice into the study on the relationships between peasant housholds and evaluation indexes.When searching the required contents,comparing with some statistical methods such as linear regression,the method here will reduce the space occupied by the input data.Additionally,the method here is a new idea to study on farmland transfer.

关键词

农地转入/农业投入/概念格/模型/概念

Key words

Farmland transfer/Agricultural investment/Concept lattice/Model/Concept

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基金项目

国家大学生创新训练计划项目(201510307065)

出版年

2016
安徽农业科学
安徽省农业科学院

安徽农业科学

影响因子:0.413
ISSN:0517-6611
参考文献量6
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