Automatic generation of membership function and fuzzy rule using inductive reasoning Conference Paper

abstract

• 1993 IEEE. This paper discusses the automatic generation of membership function and fuzzy rule. The generation of them are accomplished by utilizing the essential characteristic of the inductive reasoning which derives a general consensus from the particular. The induction is performed by the entropy minimization principle which clusters most optimally the parameters corresponding to the output classes. The rule derivation also provide the average probability of each step of rule, which is no other than the rule weight. The generation scheme is illustrated for practical use.

name of conference

• Third International Conference on Industrial Fuzzy Control and Intelligent Systems

authors

• Russell, B. Don

published proceedings

• Third International Conference on Industrial Fuzzy Control and Intelligent Systems

author list (cited authors)

• Kim, C. J., & Russell, B. D.

citation count

• 19

complete list of authors

• Kim, CJ||Russell, BD

publication date

• January 1993

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

Digital Object Identifier (DOI)

• 10.1109/ifis.1993.324207

International Standard Book Number (ISBN) 10

• 0780314859

International Standard Book Number (ISBN) 13

• 9780780314856

start page

• 93

end page

• 96

URL

• http://dx.doi.org/10.1109/ifis.1993.324207