Fuzzy Mathematics in the diagnosis of cervical spondylosis of.doc

Fuzzy Mathematics in the diagnosis of cervical spondylosis of Study: High Guodong Guo-Dong Yang Jiang Yiwei Xu Bin Zhang Min Song [Abstract] Objective: To evaluate the fuzzy mathematical model of the type in the diagnosis of cervical disease. Methods: The diagnosis of cervical disease related factors grouped into five levels of 6 factors, 5 years in a hospital of 318 clinical cases were fuzzy statistics , proposed by LAZadeh minimum fuzzy implication operator (Mamdani) fuzzy rule-based fuzzy reasoning and the use of special mathematical analysis software MATLAB simulation of the method. Results: The Institute of the proposed approach is based on the number of Chinese experts level of differentiation in the diagnosis and thus avoid a single doctor’s subjective factors more objective. Conclusion: The method used in the fuzzy math of cervical disease diagnosis, fuzzy mathematics in bone disease diagnosis and treatment of the algorithm provides support for further research also provides a theoretical basis. [Keywords:] cervical spondylosis; fuzzy mathematics; fuzzy reasoning; model 1 Introduction Cervical back behavior is the main chronic cervical disc lesions. Because cervical disc degeneration, leading to the neck joint instability, which leads to cervical bone, joint and soft tissue neck, a series of pathological changes, thus stimulating the spinal nerve root compression, spinal cord, nerve, vertebral artery and surrounding soft tissue, there neck arm numbness, pain, dizziness, headaches, heart palpitations and even incontinence, and other relevant clinical symptoms, but these symptoms are highly sensitive and internal medicine, neurological diseases such as cerebral insufficiency, endocrine disorders, diseases such as ear vertigo confused, so the cervical spine Disease type diagnosis is essential [1]. Ambiguity exists in reality is not clear phenomenon. Such as “pain” and “not pain,” “Vertigo” and “not dizzy” can not find a clear boundary betwee