The CINET fuzzy classifier: formal background and enhancements

Author

Kumar, Ratnesh ; Stover, James A.

Author_Institution

Dept. of Electr. Eng., Kentucky Univ., Lexington, KY, USA

fYear

1999

fDate

1999

Firstpage

314

Lastpage

319

Abstract

This paper describes the formal background and suggests some enhancements for the fuzzy classifier, developed by Stover et al. (1996), called the continuous inferencing network (CINET), as part of the perceptor module of the prototype intelligent controller (PIC). These enhancements include, providing a mathematical foundation to the CINET fuzzy classifier seen as the cascade of a fuzzifier and a fuzzy-aggregator, extending the functionality of both the fuzzifier and the fuzzy-aggregator by incorporating a measure for randomness (called the ambiguity degree) besides a measure for vagueness (called the membership degree), and formalizing as well as simplifying the connectives used for fuzzy-aggregation

Keywords

fuzzy control; inference mechanisms; intelligent control; neurocontrollers; pattern classification; CINET fuzzy classifier; PIC; ambiguity degree; continuous inferencing network; fuzzy-aggregation connectives; fuzzy-aggregator; membership degree; perceptor module; prototype intelligent controller; randomness measure; vagueness measure; Automatic control; Brain modeling; Fuzzy control; Fuzzy logic; Intelligent networks; Intelligent sensors; Marine vehicles; Medical diagnosis; Prototypes; Underwater vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control/Intelligent Systems and Semiotics, 1999. Proceedings of the 1999 IEEE International Symposium on

Conference_Location

Cambridge, MA

ISSN

2158-9860

Print_ISBN

0-7803-5665-9

Type

conf

DOI

10.1109/ISIC.1999.796674

Filename

796674