Crisp-type fuzzy logic controller using Dubois and Prade's parametric t-norm-sum-gravity inference methods
Author(s) -
ChiaLi Chen,
ChenHuei Hsieh,
YuChi Lai
Publication year - 2000
Publication title -
iee proceedings - control theory and applications
Language(s) - English
Resource type - Journals
eISSN - 1359-7035
pISSN - 1350-2379
DOI - 10.1049/ip-cta:20000180
Subject(s) - mathematics , parametric statistics , fuzzy logic , norm (philosophy) , fuzzy set , discrete mathematics , computer science , artificial intelligence , statistics , political science , law
The input/output relationship of a class of crisp-type fuzzy logic controllers (FLCs) using parametric t-norm-sum-gravity inference method is examined. The explicit mathematical form of reasoning surface using Dubois and Prade's parametric t-norm is addressed. Reasoning surfaces of crisp-type FLCs are proved to be composed of a two-dimensional multilevel relay and a local position-dependent nonlinear compensator. The influence of the /spl alpha/ value, the parameter of Dubois and Prade's parametric t-norm, on the reasoning surfaces is also investigated.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom