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...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | 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: | 10.1109/ICPCI.2012.6486272 |