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Studies on incidence pattern recognition based on information entropy

文献类型：期刊论文

作者Ding, SF; Shi, ZZ
刊名JOURNAL OF INFORMATION SCIENCE
出版日期2005
卷号31期号:6页码:497-502
关键词information entropy information entropy weight (IEW) information incidence degree (IID) information pattern recognition
ISSN号0165-5515
DOI10.1177/0165551505057012
英文摘要For pattern recognition, the weight of the feature index is very important and is usually used to measure the feature index's importance. The weight is usually divided into two types. One is determined by the knowledge and experience of experts or individuals, and called subjective weight; the other is based on statistical properties and measurement data, and is called objective weight. In this paper, a new objective weight, information entropy weight (IEW) is defined and constructed based on information entropy and the practical background of the survey data. On the basis of gray relation analysis and IEW presented here, a new concept of information incidence degree (IID) is proposed. A new method of incidence pattern recognition based on IID is set up, and applied to soil nutrient data processing. The results of simulation application show that the method presented here is feasible and effective. It provides a new research approach for information pattern recognition.
WOS研究方向Computer Science ; Information Science & Library Science
语种英语
WOS记录号WOS:000233824000004
出版者SAGE PUBLICATIONS LTD
源URL[http://119.78.100.204/handle/2XEOYT63/10047]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Ding, SF
作者单位1.Shandong Agr Univ, Coll Informat Sci & Engn, Tainan 271018, Taiwan
2.Chinese Acad Sci, Comp Technol Inst, Key Lab Intelligent Informat Proc, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Ding, SF,Shi, ZZ. Studies on incidence pattern recognition based on information entropy[J]. JOURNAL OF INFORMATION SCIENCE,2005,31(6):497-502.
APA Ding, SF,&Shi, ZZ.(2005).Studies on incidence pattern recognition based on information entropy.JOURNAL OF INFORMATION SCIENCE,31(6),497-502.
MLA Ding, SF,et al."Studies on incidence pattern recognition based on information entropy".JOURNAL OF INFORMATION SCIENCE 31.6(2005):497-502.

入库方式： OAI收割

来源：计算技术研究所

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