An evaluation method of information-based teaching in the age of number intelligence under intuitionistic fuzzy environment

This paper proposes a teaching evaluation method for informatized teachers in the context of intuitionistic fuzzy environments based on the digital intelligence era. Firstly, intuitionistic fuzzy numbers are used as the evaluation language to represent the fuzzy semantics of evaluators. Then, the Euclidean distance between the evaluation information provided by evaluators and the ideal evaluation information is calculated using a similarity measure method, and normalized to obtain the weights of evaluators. Secondly, by constructing a nonlinear programming model, an intuitionistic perfectly consistent evaluation matrix is obtained, from which the weights of evaluation indicators are derived. Finally, the teaching evaluation results are obtained through weighted calculation of the evaluation information. By adopting the fuzzy evaluation method, this paper constructs a scientific and objective teaching ability evaluation model for teachers, aiming to enhance the accuracy, fairness, and personalization of teaching evaluation.