Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Logic Synthesis and Verification Algorithms
Logic Synthesis and Verification Algorithms
A First Course in Fuzzy Logic, Third Edition
A First Course in Fuzzy Logic, Third Edition
Facts and figures on fuzzified normal forms
IEEE Transactions on Fuzzy Systems
Logic Minimization as an Efficient Means of Fuzzy Structure Discovery
IEEE Transactions on Fuzzy Systems
An enhanced two-level Boolean synthesis methodology for fuzzy rules minimization
IEEE Transactions on Fuzzy Systems
Hi-index | 0.00 |
A fuzzified normal form is obtained when the boolean operators are replaced with a t-norm, t-conorm and fuzzy complement in a boolean normal form. In this paper we present a special class of fuzzified normal forms which has some boolean properties. We can use these properties to design and to simplify the normal forms as in the boolean case. We present some theorems and one application in fuzzy control to justify the selection of fuzzy operators.