Title :
Fuzzy pattern matching and its application to system simulation
Author_Institution :
Fac. of Inf. Sci. & Eng., Canberra Univ., Belconnen, ACT, Australia
Abstract :
Fuzzy patterns are represented by terms, which are interpreted as functions from a domain of symbols into an interval of truth values. A technique of fuzzy pattern matching is introduced and is implemented in simulation. In this simulation system, fuzzy objects and messages are represented by fuzzy terms, which can be approximately matched. This representation makes system simulation more flexible and more realistic than in traditional simulation
Keywords :
digital simulation; fuzzy logic; object-oriented methods; pattern matching; simulation; symbol manipulation; fuzzy logic; fuzzy pattern matching; object oriented simulation; system simulation; truth value interval; Analytical models; Artificial intelligence; Australia; Data analysis; Fuzzy systems; Marine vehicles; Object oriented modeling; Pattern matching; Statistical distributions;
Conference_Titel :
AI, Simulation, and Planning in High Autonomy Systems, 1993. Integrating Virtual Reality and Model-Based Environments. Proceedings. Fourth Annual Conference
Conference_Location :
Tucson, AZ
Print_ISBN :
0-8186-4020-0
DOI :
10.1109/AIHAS.1993.410576