Bilateral membership functions and diagnosis by pattern recognition. Application to exchanges of the French telephone network

Author

Boutleux, Emmanuel ; Dubuisson, Bernard

Author_Institution

Univ. de Technol. de Compiegne, France

Volume

2

fYear

1998

fDate

4-9 May 1998

Firstpage

1038

Abstract

Previous works from the authors (1996) about dynamic systems diagnosis led to multidimensional bilateral membership functions distributed along the path according to which a system state evolves from one functional state to another. This paper, based upon this bilateral membership function concept, proposes new development in order to solve the problem of diagnosis and introduce the notion of conditional or unconditional membership functions

Keywords

fuzzy set theory; pattern recognition; state estimation; telephone exchanges; telephone traffic; French telephone network; bilateral membership functions; conditional membership functions; functional state diagnosis; fuzzy set theory; network traffic management; pattern recognition; state estimation; unconditional membership functions; Degradation; Knowledge management; Marine vehicles; Multidimensional systems; Nose; Pattern recognition; Real time systems; Telecommunication traffic; Telephony;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7584

Print_ISBN

0-7803-4863-X

Type

conf

DOI

10.1109/FUZZY.1998.686261

Filename

686261