On applying information principles to fuzzy controls
| Autor: | Colette Padet |
|---|---|
| Rok vydání: | 1996 |
| Předmět: |
business.industry
Principle of maximum entropy media_common.quotation_subject Fuzzy control system Ambiguity Missing data Type-2 fuzzy sets and systems Fuzzy logic Theoretical Computer Science Control and Systems Engineering Computer Science (miscellaneous) Fuzzy number Entropy (information theory) Artificial intelligence business Engineering (miscellaneous) Social Sciences (miscellaneous) Mathematics media_common |
| Zdroj: | Kybernetes. 25:61-64 |
| ISSN: | 0368-492X |
| DOI: | 10.1108/03684929610106429 |
| Popis: | The use of fuzzy control techniques requires categorizing membership grades for various controlling (input) and controlled (output) parameters. In many engineering situations, such grades are specified, a priori, only partially; several values might either be missing or be presented as subject to certain constraints. The principle of maximum uncertainty, a fuzzy analogue of maximum entropy, would then serve as a basis for resolving the ambiguity of missing values and thus for deciding the precise nature of control rules. It is shown that the uncertainty principle follows from certain natural assumptions about consistent decision making. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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