Diagnostic and Therapeutical Tinnitus System Based on Fuzzy Rough Set

Abstract:

A novel distributed system for the diagnostic and therapeutical tinnitus is introduced based on the fuzzy rough set theory in this paper. The cause of the tinnitus diseases is analyzed, and the prime symptoms of disorders of the inner ear are classified. According to a ringing or booming sensation in one or both ears, the problem of the processing model is built based on fuzzy inference, and the remedial sound intensity level of the curative tinnitus is discussed. The particular requirements and characteristics of the cure system are analyzed. Research results reveal that, based on the fuzzy rough set theory, the fuzzy membership functions can be explicitly interpreted and the extracting diagnosis rules from fault data are feasible.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 4630-4635
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.4630
• Online since: September 2013
• Authors: Xian Min Ma
• Keywords: Diagnosis, Fuzzy Inference, Rough Set (RS), Therapeutical Tinnitus

References

[1] HUANG Yan, YAN Guang-le, Quantitative evaluation system for clinical efficacy of traditional Chinese medicine treatment, J. University of Shanghai for Science and Technology, Vol. 33 No. 1 2011, p.53–59.

[2] KANG Sheng-wu1, WANG Ying-ming, CAI Zh-i feng1, An Approach to Generating Rules Based on Rough and Fuzzy Sets Theories, Journal of Xiamen University (Natural Science), Vol. 41 No. 2, Mar. 2002, p.173–176.

[3] LIU Wen-jun, XIAO Qi-mei, Fuzzy Decision Algorithm Based on Rough Sets, Fuzzy Systems and Mathematics, Vo l. 20, No. 2, Apr . , 2006, p.127–132.

[4] YU Da-ren, HU Qing-hua，BAO Wen, Combining Rough Set Methodology And Fuzzy Clustering Forknowledge Discovery From Quantitative Data, Proceedings of the CSEE, Vol. 24 No. 6. Jun. 2004, p.205–210.