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POSSIBILITY, PROBABILITY AND RELATIVE INFORMATION - A UNIFIED APPROACH VIA GEOMETRIC-PROGRAMMING
被引:3
|作者:
JUMARIE, G
机构:
[1] University of Quebec at Montreal, Montreal
来源:
关键词:
CYBERNETICS;
FUZZY SETS;
INFORMATION;
STATISTICS;
D O I:
10.1108/03684929510079269
中图分类号:
TP3 [计算技术、计算机技术];
学科分类号:
0812 ;
摘要:
The theory of possibility (Zadeh, Sugeno) and the theory of relative information (Jumarie) both aim to deal with the meaning of information, but their mathematical frameworks are quite different. In the first approach, possibility is described either by fuzziness (Zadeh) or by generalized measures (Sugeno), and in the second, possibility is obtained as the result of observing probability via an observation process with informational invariance. Shows that a combination of (classical) information theory with generalized maximum likelihood via geometric programming exhibits a link between relative information, fuzziness and possibility. Some consequences are outlined.
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页码:18 / 33
页数:16
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