학술논문

Diagnosis Using Incomplete Model in Fuzzy Discrete Event System: Application to Crisis Management
Document Type
Conference
Source
2014 13th International Conference on Machine Learning and Applications Machine Learning and Applications (ICMLA), 2014 13th International Conference on. :432-440 Dec, 2014
Subject
Bioengineering
Computing and Processing
Signal Processing and Analysis
Fuzzy discrete event system; fault diagnosis; crisis management; incompete model
Language
Abstract
This paper presents a novel diagnosis approach for crisis management using fuzzy discrete event system (model). The method exploits the output events and membership value of each active state as input events of the diagnoser (diagnosis module). In our work the choice of fuzzy system representation is justified by the assumption that, during crisis management, the stress and/or impact emotion of the teams involved in crisis management must be taken into account and the evolution of the situation may not necessarily in one active state. The membership value generated by the model can be used for the possible control action during the crisis management.