Title :
Inference and improper knowledge detection on fuzzy rules with enhanced high-level fuzzy Petri nets
Author :
Yang, Hsin-Tai ; Lee, Shie-Jue
Author_Institution :
Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
Abstract :
We propose a new version of Petri nets, enhanced high-level fuzzy Petri nets (EHLFPN), to represent fuzzy rules in knowledge bases. In the proposed model, fuzzy inference can be performed using a method similar to (Scarpelli et al., 1996). In addition, improper knowledge such as conflicts, redundancy, cycles, unnecessary conditions, dead ends, and unreachable goals, can be detected by first transforming fuzzy Petri nets into non-fuzzy Petri nets and then transforming the derived Petri nets into the reachability problems. At last, each type of improper knowledge is detected by solving a set of equations formulated from the corresponding reachability problem
Keywords :
Petri nets; fuzzy logic; inference mechanisms; knowledge based systems; knowledge representation; uncertainty handling; fuzzy inference; fuzzy rules; high-level fuzzy Petri nets; improper knowledge detection; inference; knowledge bases; reachability problem; redundancy; Councils; Electronic mail; Equations; Expert systems; Fuzzy neural networks; Hybrid intelligent systems; Knowledge based systems; Logic; Mathematical model; Petri nets;
Conference_Titel :
Fuzzy Information Processing Society - NAFIPS, 1998 Conference of the North American
Conference_Location :
Pensacola Beach, FL
Print_ISBN :
0-7803-4453-7
DOI :
10.1109/NAFIPS.1998.715551
