Fuzzy logic-based evidence fusion tool for network analysis

摘要

A fuzzy-logic-based evidence fusion tool for predicting function levels of a switch in a telecommunications network. Confidence factors related to the geographical location and to the physical characteristics of the switch are acquired and mapped into fuzzy membership values. The membership values activate a set of fuzzy evidence fusion rules at each function level, and a degree of truth for each rule is inferred. A defuzzification scheme combines the degree of truth of each rule into a single combined confidence factor for each function level. Finally, the maximum combined confidence factor for each rule is determined, and the switch function level corresponding to that confidence factor is assigned to the switch.