We have proposed a fuzzy rough set approach without using any fuzzy logical connectives to extract gradual decision rules from decision tables. In this paper, we discuss the use of these gradual decision rules within modus ponens and modus tollens inference patterns. We discuss the difference and similarity between modus ponens and modus tollens and, moreover, we generalize them to formalize approximate reasoning based on the extracted gradual decision rules. We demonstrate that approximate reasoning can be performed by manipulation of modifier functions associated with the gradual decision rules.
|Titolo:||Fuzzy-rough modus ponens and modus tollens as a basis for approximate reasoning|
|Data di pubblicazione:||2004|
|Appare nelle tipologie:||2.1 Contributo in volume (Capitolo o Saggio)|