The technical requirements of the dances for each dance vary with the passage of time and people's exploration of new things. In order to improve the objectivity and scientificity of the dance and the technical level of the sports dancers, it is very important to score the form and technique of dancing. The dance movement and the rules are complementary. The movement develops in the continuous improvement of the rules, and the rules are constantly improved in the development of the movement. In order to fully reflect the comprehensive technical strength of a dancer, it is necessary to adopt a combination of qualitative and quantitative methods. Based on the above background, the purpose of this paper is to construct and discuss the fuzzy evaluation system for the performance of the dance form. The dance technique is an important part of the evaluation of the dance technique. The fuzzy evaluation system is constructed by using five aspects: basic movement skills, musical expression, movement arrangement, dance style and on-the-spot play. FAHP gives the weight of each index and the comprehensive evaluation coefficient, and draws a comprehensive evaluation method of the dance technique. It can provide solutions for the problems existing in the current practice of the athletes' dance pattern, and provide reference for the athletes to improve the dance technique. The comprehensive evaluation index system of the dance form technology includes five major factors and 12 factors. In this paper, the stratified analysis method is used to make the evaluation results of the dance modality technology better and the accuracy is higher. By determining the effect gap between the various comment levels, the comprehensive expert opinion is determined, and the final evaluation value is obtained, and the comprehensive evaluation level of the dance dance technique can be judged, thereby reflecting the contribution of the various variables of the dance technique, and provide useful reference for training and education of dancing.

Jie Liu. Construction and Discussion of Fuzzy Evaluation System for Fractal Technique Score. International Journal of Sports Technology (2020), Vol. 1, Issue 1: 46-59. https://doi.org/10.38007/IJST.2020.010104.

[1] Sun W, Xue Y. An Improved Fuzzy Comprehensive Evaluation System and Application for Risk Assessment of Floor Water Inrush in Deep Mining. Geotechnical and Geological Engineering, 2018, 37(4):1-11. https://doi.org/10.1007/s10706-018-0673-x

[2] Chen J, Zhang S, Xin L I, et al. Evaluation system and relative green degree of environmentally oriented design based on fuzzy AHP-TOPSIS. Science & Technology Review, 2016, 34(18):304-313.

[3] Huang Z, Xie X, Wang B. Power system state estimation combined with fuzzy comprehensive evaluation and decision-making. Power System Protection & Control, 2015, 43(7):65-69.

[4] Eldessouki M, Hassan M. Adaptive neuro-fuzzy system for quantitative evaluation of woven fabrics’ pilling resistance. Expert Systems with Applications, 2015, 42(4):2098-2113. https://doi.org/10.1016/j.eswa.2014.10.013

[5] Al-Naji A, Lee S H, Chahl J. Quality index evaluation of videos based on fuzzy interface system. Iet Image Processing, 2017, 11(5):292-300. https://doi.org/10.1049/iet-ipr.2016.0569

[6] Terán L. Evaluation of Visualization of a Fuzzy-Based Recommender System for Political Community-Building ☆. Procedia Computer Science, 2015, 62:116-125. https://doi.org/10.1016/j.procs.2015.08.424

[7] Stefano N M, Filho N C, Barichello R, et al. Hybrid Fuzzy Methodology for the Evaluation of Criteria and Sub-criteria of Product-service System (PSS) ☆. Procedia Cirp, 2015, 30(30):439-444. https://doi.org/10.1016/j.procir.2015.02.216

[8] Mosleh M, Otadi M. Simulation and evaluation of system of fuzzy linear Fredholm integro-differential equations with fuzzy neural network. Neural Computing & Applications, 2017(5):1-11. https://doi.org/10.1016/j.fiae.2016.03.002

[9] Nath S, Sarkar B. Decision system framework for performance evaluation of advanced manufacturing technology under fuzzy environment. Opsearch, 2018, 3:1-18.

[10] Matsuo K, Matsuo K, Oda T, et al. Implementation and evaluation of a fuzzy-based cluster-head selection system for wireless sensor networks considering network traffic. Journal of Mobile Multimedia, 2015, 11(1-2):10-20.

[11] Selvaraj A, Sundararajan S. Evidence-Based Trust Evaluation System for Cloud Services Using Fuzzy Logic. International Journal of Fuzzy Systems, 2016, 19(2):1-9. https://doi.org/10.1007/s40815-016-0146-4

[12] Halabi L M, Mekhilef S, Hossain M. Performance evaluation of hybrid adaptive neuro-fuzzy inference system models for predicting monthly global solar radiation. Applied Energy, 2018, 213:247-261. https://doi.org/10.1016/j.apenergy.2018.01.035

[13] Domene P A, Moir H J, Pummell E, et al. Salsa dance and Zumba fitness: Acute responses during community-based classes. Journal of Sport & Health Science, 2015, 5(2):190-196. https://doi.org/10.1016/j.jshs.2015.04.004

[14] James P, Hart J E, Arcaya M C, et al. Neighborhood Self-Selection: The Role of Pre-Move Health Factors on the Built and Socioeconomic Environment. International Journal of Environmental Research & Public Health, 2015, 12(10):12489-12504. https://doi.org/10.3390/ijerph121012489

[15] Nanji L S, Melo T P, Canhão P, et al. Subarachnoid Haemorrhage and Sports. Cerebrovascular Diseases Extra, 2015, 5(3):146-151. https://doi.org/10.1159/000441395

[16] James P, Hart J E, Arcaya M C, et al. Neighborhood Self-Selection: The Role of Pre-Move Health Factors on the Built and Socioeconomic Environment.. International Journal of Environmental Research & Public Health, 2015, 12(10):12489-12504. https://doi.org/10.3390/ijerph121012489

[17] Cao H, Yu-Xin M A, Jia B Z, et al. An intelligent evaluation system of marine engine room simulator based on fuzzy comprehensive evaluation. Journal of Dalian Maritime University, 2015, 41(1):104-108.

[18] Xiangdong Z, Jun L I, Jiashun L, et al. Stability evaluation of soft rock supporting system of inclined shaft based on fuzzy comprehensive evaluation method. Journal of Liaoning Technical University(Natural Science), 2018, 37(3):476-481.

[19] Wei C. International Sports Central City Public Sports Service Fuzzy Comprehensive Evaluation System Research. Journal of Computational & Theoretical Nanoscience, 2016, 13(12):10174-10177. https://doi.org/10.1166/jctn.2016.6236