The characterization of a measure of information discrepancy

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	The characterization of a measure of information discrepancy
	Fang, WW
	2000-06-01
发表期刊	INFORMATION SCIENCES
ISSN	0020-0255
卷号	125 期号:1-4 页码:207-232
摘要	A Function of Degree of Disagreement (FDOD) function has been introduced in the study of information discrepancies among multiple information sources [W. Fang, Mathematical Social Sciences 28 (2) (1994) 85-111; J. Global Optim. 11 (1997) 387-408]. It possesses some peculiar properties and can be applied in some areas, in which the traditional measures of information discrepancy are not valid, for example, in the study of multiple DNA sequence comparison. In this paper, based on the ideas concerned with Shannon entropy and measures of difference, we investigate its characterization. The final results and even intermediate results show a close connection between the FDOD function and Shannon entropy. (C) 2000 Elsevier Science Inc. All rights reserved.
关键词	Shannon entropy information discrepancy measurement multiple distributions
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems
WOS记录号	WOS:000086970800012
出版者	ELSEVIER SCIENCE INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/15434
专题	中国科学院数学与系统科学研究院
通讯作者	Fang, WW
作者单位	1.Rutgers State Univ, DIMACS, Piscataway, NJ 08855 USA 2.Chinese Acad Sci, Inst Appl Math, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Fang, WW. The characterization of a measure of information discrepancy[J]. INFORMATION SCIENCES,2000,125(1-4):207-232.
APA	Fang, WW.(2000).The characterization of a measure of information discrepancy.INFORMATION SCIENCES,125(1-4),207-232.
MLA	Fang, WW."The characterization of a measure of information discrepancy".INFORMATION SCIENCES 125.1-4(2000):207-232.