中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
The characterization of a measure of information discrepancy

文献类型:期刊论文

作者Fang, WW
刊名INFORMATION SCIENCES
出版日期2000-06-01
卷号125期号:1-4页码:207-232
关键词Shannon entropy information discrepancy measurement multiple distributions
ISSN号0020-0255
英文摘要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.
语种英语
WOS记录号WOS:000086970800012
出版者ELSEVIER SCIENCE INC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/15433]  
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.

入库方式: OAI收割

来源:数学与系统科学研究院

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