Computer and fuzzy theory application: review in home appliances

Document Type: Research Paper


Covenant University


Clays have a tendency to this article first introduces the basic concepts of fuzzy theory, including comparisons between fuzzy sets and traditional explicit sets, fuzzy sets basic operations such as the membership function of the set and the colloquial variable, the intersection and union of the fuzzy set, and use the above concepts to guide into the four basic reasoning mechanisms of fuzzy mode and introduce several common types of fuzzy application examples such as fuzzy washing machine and fuzzy control of incinerator plant in China illustrate the application of fuzzy theory in real society.


Main Subjects

[1]   Faber, M. H., & Stewart, M. G. (2003). Risk assessment for civil engineering facilities: critical overview and discussion. Reliability engineering & system safety80(2), 173-184.
[2]   Kanamori, H. (2005). Real-time seismology and earthquake damage mitigation. Annu. Rev. Earth Planet. Sci.33, 195-214.
[3]   Kanamori, H., Hauksson, E., & Heaton, T. (1997). Real-time seismology and earthquake hazard mitigation. Nature390(6659), 461-464.
[4]   Lugeri, N., Kundzewicz, Z. W., Genovese, E., Hochrainer, S., & Radziejewski, M. (2010). River flood risk and adaptation in Europe—assessment of the present status. Mitigation and adaptation strategies for global change15(7), 621-639.
[5]   Markus, A. A., Courage, W. M. G., & Van Mierlo, M. C. L. M. (2010). A computational framework for flood risk assessment in the Netherlands. Scientific programming18(2), 93-105.
[6]   Pandey, A. C., Singh, S. K., & Nathawat, M. S. (2010). Waterlogging and flood hazards vulnerability and risk assessment in Indo Gangetic plain. Natural hazards55(2), 273-289.
[7]   Wu, Y. M., Shin, T. C., & Tsai, Y. B. (1998). Quick and reliable determination of magnitude for seismic early warning. Bulletin of the seismological society of America88(5), 1254-1259.