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The paper aims to study the fuzzy comprehensive evaluation algorithm in the assessment system of the clinical nursing teaching quality. In terms of research methods, the paper objectively evaluates teaching effectiveness of clinical nursing faculty, and proposes a method named the fuzzy evaluation of teaching quality, puts forward basic principles and implementation methods, develops the index system, uses Gaussian function to determine the membership degree of index, and apply fuzzy decision-making quantitative calculation in the evaluation results. The research results can be summarized as follows: in the four evaluation sets of excellent, good, medium, and poor, the evaluation of the clinical nursing teaching quality has the following membership degree respectively: 82.3%, 7.4%, 10%, 0.2% and 0. The teachers are favored in the conclusions of teaching quality evaluation. Thus, we come to the following conclusion: the fuzzy comprehensive evaluation has the advantage of good application in the assessment of teaching quality and it has great significance on urging the school to change the education system, assessing teaching achievements and guiding students to the learning in practice.

In this paper, it proposes a new energy-efficient, reliable topological clustering algorithm (ERCTNA), which analysis the reliability of wireless sensor networks at the present stage factors and improve the original LEACH protocol. ERCTNA algorithm can balance the cluster head of energy load and increase the reliability of the network topology through setting up auxiliary cluster head node and optimizing information transfer mode. This model improves the traditional long-distance communication in wireless sensor networks to bring the energy of the excessive wear and tear issues, effectively extending the life cycle of the entire network to improve the reliability of wireless sensor networks.

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