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Computational intelligence for distributed fault management in networks using fuzzy cognitive maps

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2 Author(s)
Ndousse, T.D. ; Dept. of Comput. Sci. & Eng., Northern Arizona Univ., Flagstaff, AZ, USA ; Okuda, T.

This paper proposes a computationally based expert system for managing fault propagation in internetworks using the concept of fuzzy cognitive maps (FCM), a graphical archetype which encodes and processes vague causal reasoning numerically. The dynamic features of FCM are exploited to characterize the time-varying aspects of network faults, while its graphical features are used as a framework for representing the distributed properties of fault propagation. In this scheme, a network fault due to one or more managed objects induces causal fuzzy relationships on adjacent objects. This causal relationship is captured in a matrix which allows causal inference representations to be viewed as feedback associative memory with computational recall capabilities

Published in:

Communications, 1996. ICC '96, Conference Record, Converging Technologies for Tomorrow's Applications. 1996 IEEE International Conference on  (Volume:3 )

Date of Conference:

23-27 Jun 1996