Classification Algorithm of Case Retrieval Based on Granularity Calculation of Quotient Space

doi:10.1142/S0218001421500038

HFCAS OpenIR

	Classification Algorithm of Case Retrieval Based on Granularity Calculation of Quotient Space
	Lu, Jiaxing 1; Jiang, Qing2 ; Huang, He2 ; Zhang, Zhengyong2 ; Wang, Rujing2
	2021
发表期刊	INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
ISSN	0218-0014
通讯作者	Jiang, Qing(jiangqing@iim.ac.cn) ; Huang, He(hhuang@iim.ac.cn)
摘要	Case retrieval is one of the key steps of case-based reasoning. The quality of case retrieval determines the effectiveness of the system. The common similarity calculation methods based on attributes include distance and inner product. Different similarity calculations have different influences on the effect of case retrieval. How to combine different similarity calculation results to get a more widely used and better retrieval algorithm is a hot issue in the current case-based reasoning research. In this paper, the granularity of quotient space is introduced into the similarity calculation based on attribute, and a case retrieval algorithm based on granularity synthesis theory is proposed. This method first uses similarity calculation of different attributes to get different results of case retrieval, and considers that these classification results constitute different quotient spaces, and then organizes these quotient spaces according to granularity synthesis theory to get the classification results of case retrieval. The experimental results verify the validity and correctness of this method and the application potential of granularity calculation of quotient space in case-based reasoning.
关键词	Granular computing quotient space case retrieval case-based reasoning
DOI	10.1142/S0218001421500038
收录类别	SCI
语种	英语
资助项目	[2016YFD0702002] ; [2016YFD0702001] ; [2016YFD0702003] ; [2017YFD0700705-3] ; [2017YFD0700501] ; Department of Education of Guangdong Province, PRC[2017GKTSCX060] ; National Natural Science Foundation of China[61773360] ; National Natural Science Foundation of China[61863013] ; National Natural Science Foundation of China[61503362] ; National Natural Science Foundation of China[61305111] ; National Natural Science Foundation of China[31671586] ; National Natural Science Foundation of China[91420104] ; Natural Science Foundation of Anhui Province[1508085MF133] ; Key Technology and Equipment Research and Development of Intelligent Harvest of Chinese Wolfberry with High E+/-ciency and Low Loss[nxzdkjxm2016-04] ; Research and Application of Soil Fertility Rapid Sensing Device and Large Data Fertilization Model[15czz03129] ; Research of Agricultural Science and Technology in Ningxia[XD-XMBW-2016001] ; Construction of Test and Maturation Platform for Complete Sets of Hardware and Software in Agricultural Internet of Things [Shanghai Agriculture Promotion Word (2016)][2-5-11] ; Natural Key Projects of the Department of Education of Anhui Province[KJ2016A305]
项目资助者	Department of Education of Guangdong Province, PRC ; National Natural Science Foundation of China ; Natural Science Foundation of Anhui Province ; Key Technology and Equipment Research and Development of Intelligent Harvest of Chinese Wolfberry with High E+/-ciency and Low Loss ; Research and Application of Soil Fertility Rapid Sensing Device and Large Data Fertilization Model ; Research of Agricultural Science and Technology in Ningxia ; Construction of Test and Maturation Platform for Complete Sets of Hardware and Software in Agricultural Internet of Things [Shanghai Agriculture Promotion Word (2016)] ; Natural Key Projects of the Department of Education of Anhui Province
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000621647200003
出版者	WORLD SCIENTIFIC PUBL CO PTE LTD
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.hfcas.ac.cn:8080/handle/334002/120842
专题	中国科学院合肥物质科学研究院
通讯作者	Jiang, Qing; Huang, He
作者单位	1.Jiangxi Normal Univ, Nanchang 330022, Jiangxi, Peoples R China 2.Chinese Acad Sci, Inst Intelligent Machines, Hefei 230031, Anhui, Peoples R China
通讯作者单位	中科院合肥智能机械研究所
推荐引用方式 GB/T 7714	Lu, Jiaxing,Jiang, Qing,Huang, He,et al. Classification Algorithm of Case Retrieval Based on Granularity Calculation of Quotient Space[J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,2021,35.
APA	Lu, Jiaxing,Jiang, Qing,Huang, He,Zhang, Zhengyong,&Wang, Rujing.(2021).Classification Algorithm of Case Retrieval Based on Granularity Calculation of Quotient Space.INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,35.
MLA	Lu, Jiaxing,et al."Classification Algorithm of Case Retrieval Based on Granularity Calculation of Quotient Space".INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 35(2021).