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The characterization of a measure of information discrepancy
Fang, WW
2000-06-01
Source PublicationINFORMATION SCIENCES
ISSN0020-0255
Volume125Issue:1-4Pages:207-232
AbstractA 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.
KeywordShannon entropy information discrepancy measurement multiple distributions
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000086970800012
PublisherELSEVIER SCIENCE INC
Citation statistics
Cited Times:23[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/15434
Collection中国科学院数学与系统科学研究院
Affiliation1.Rutgers State Univ, DIMACS, Piscataway, NJ 08855 USA
2.Chinese Acad Sci, Inst Appl Math, Beijing 100080, Peoples R China
Recommended Citation
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.
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