Presentation of uncertain information with help of canonically conjugate Fuzzy subsets

Presentation of uncertain information with help of canonically conjugate Fuzzy subsets

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...

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1. Verfasser: Tsintsadze, M.
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fuzzy differential equations
fuzzy information
optimal model
uncertainty
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description 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.
doi_str_mv 10.1109/ICPCI.2012.6486272
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subjects fuzzy differential equations
fuzzy information
optimal model
uncertainty
title Presentation of uncertain information with help of canonically conjugate Fuzzy subsets
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