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To improve the accuracy of education evaluation and evaluation, ensure the load balance in the domain, and solve the problems of single evaluation attribute and high overlap of education evaluation paths. This paper proposes a multi-attribute education evaluation model that refines the evaluation attributes of education evaluation and uses analytic hierarchy process perform weight distribution. The algorithm can improve the accuracy of the evaluation of the education evaluation system while ensuring the computational efficiency, and can ensure the load balance within the domain, and improve the network survival time.<\/jats:p>","DOI":"10.3233\/jifs-189333","type":"journal-article","created":{"date-parts":[[2020,9,25]],"date-time":"2020-09-25T06:15:52Z","timestamp":1601014552000},"page":"2941-2951","source":"Crossref","is-referenced-by-count":3,"title":["Adaptive entropy theory polymerization method for path optimization in edge computing educational systems"],"prefix":"10.1177","volume":"40","author":[{"given":"Gang","family":"Luo","sequence":"first","affiliation":[{"name":"Department of Architecture, Henan Technical College of Construction, Zhengzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiyuan","family":"Chen","sequence":"additional","affiliation":[{"name":"Educational Information Technology Center, Henan Technical College of Construction, 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