From classic observability to a simple fuzzy observability for fuzzy discrete-event systems

Date

2012-03-15

Author

KILIÇ, ERDAL
Leblebicioğlu, Mehmet Kemal

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In order to determine uncertainties from restricted available information, fuzzy discrete-event systems (FDESs), or fuzzy discrete-event dynamic systems (FDEDSs), were recently proposed. These frameworks include fuzzy states and events occurring simultaneously with different membership degrees. Fuzzy states and events have been used to describe uncertainties that occur often in practical problems, such as treatment planning for HIV/AIDS patients, sensory information processing for robotic control, and fault diagnosis problems. In order to measure information associated with FDESs or FDEDSs, the classical discrete event system (DES) observability has been turned into fuzzy observability for FDESs or FDEDSs. The newly proposed method allows ease of defining degrees of observability so that uncertainties in FDESs or FDEDSs can be dealt with effectively. This gives an opportunity to design better decision-making systems. To calculate the observability degree, a simple fuzzy observability checking method is introduced, and two examples are elaborated upon to illustrate the presented method. Finally, the newly proposed method is tested on a heating, ventilating, and air-conditioning (HVAC) system.

Subject Keywords

Discrete event systems, Fuzzy discrete event dynamic systems, Observability, Fuzzy observability

URI

https://hdl.handle.net/11511/35550

Journal

INFORMATION SCIENCES

DOI

https://doi.org/10.1016/j.ins.2011.11.008

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

E. KILIÇ and M. K. Leblebicioğlu, “From classic observability to a simple fuzzy observability for fuzzy discrete-event systems,” INFORMATION SCIENCES, pp. 224–232, 2012, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/35550.