Intelligent Fuzzy Comprehensive Evaluation of Quality of Public Physical Education Based on HMM and AHP

Intelligent fuzzy comprehensive evaluation of the quality of public physical education based on HMM and AHP is discussed in this paper. This article first derives the transition probability of the state from the duration of the segment length, and demonstrates that the two are not independent of each other, and the probability of a state transitioning to another state can be completely determined by the state's self-transition probability, and it is explained theoretically the necessity of introducing the absorption state. Data quality assessment considers the user's requirements for the general comprehensive data application, and conducts a comprehensive inspection and evaluation of the production, hence, consider the fuzzy clustering and the AHP to construct efficient data analytic framework. The simulations have highlighted the performance of the proposed model.