Title :
Definition and tuning of unit-based fuzzy systems in FINEST
Author :
Tano, Shun´ichi ; Oyama, Takuya ; Arnould, T. ; Bastian, Andreas ; Umano, Motohide
Author_Institution :
Lab. for Int. Fuzzy Eng. Res., Yokohama, Japan
Abstract :
At the Laboratory for International Fuzzy Engineering Research (LIFE), the authors are developing FINEST (Fuzzy Inference Environment Software with Tuning), a software environment for fuzzy inference with a mechanism to tune the inference method as well as fuzzy predicates. In this paper, the authors give an outline of the software, and describe its characteristics relative to fuzzy inference and tuning. Then, the authors describe two very important features of FINEST, the definition and tuning of unit-based fuzzy systems, followed by some examples
Keywords :
fuzzy systems; inference mechanisms; software tools; FINEST; Fuzzy Inference Environment Software with Tuning; fuzzy predicates; software environment; unit-based fuzzy systems; Expert systems; Fuzzy control; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Iron; Laboratories; Systems engineering and theory;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343746