DocumentCode :
1674390
Title :
Presentation of uncertain information with help of canonically conjugate Fuzzy subsets
Author :
Tsintsadze, M.
Author_Institution :
Iv. Javakhishvili Tbilisi State Univ., Tbilisi, Georgia
fYear :
2012
Firstpage :
1
Lastpage :
5
Abstract :
In modern world we mostly deal with two type uncertainty based on vagueness and ambiguity accordingly. Modeling situation with first type uncertainty mostly based on Fuzzy sets and degree of fuzziness. Major inconvenience with fuzzy modeling is based on expert estimations, we´ll need additional criteria to choose “right” expert, with “right” estimations. When there is not enough information on property we´d like to model, we are offering to find canonically conjugate one that would be easier to describe and is completing the information about object. We will construct model that would be “mean”-ed: based on expert estimation, canonically conjugate property and optimality condition.
Keywords :
fuzzy set theory; information theory; ambiguity; canonically conjugate fuzzy subset; canonically conjugate property; fuzziness degree; fuzzy modeling; optimality condition; two type uncertainty; uncertain information presentation; vagueness; fuzzy differential equations; fuzzy information; optimal model; uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Problems of Cybernetics and Informatics (PCI), 2012 IV International Conference
Conference_Location :
Baku
Print_ISBN :
978-1-4673-4500-2
Type :
conf
DOI :
10.1109/ICPCI.2012.6486272
Filename :
6486272
Link To Document :
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