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模糊聚類(lèi)分析在獎(jiǎng)學(xué)金評(píng)定中的應(yīng)用

時(shí)間:2020-08-28 13:46:51 數(shù)學(xué)畢業(yè)論文 我要投稿

模糊聚類(lèi)分析在獎(jiǎng)學(xué)金評(píng)定中的應(yīng)用

摘 要

近幾年來(lái),獎(jiǎng)學(xué)金的評(píng)定工作成為高校學(xué)生工作的1個(gè)重要組成部分。在實(shí)施過(guò)程中,科學(xué)、完善的評(píng)價(jià)體系起著重要的作用。在現(xiàn)行的各種獎(jiǎng)學(xué)金評(píng)定中主要采用的是傳統(tǒng)的'總分或平均分排名法,這兩種方法都因?qū)I(yè)、年級(jí)、考試試題的深度和難度及評(píng)卷教師不同,帶來(lái)較多的不合理性。本文分析了目前學(xué)生獎(jiǎng)學(xué)金評(píng)定方法中所存在的問(wèn)題,對(duì)當(dāng)前獎(jiǎng)學(xué)金的評(píng)定方法進(jìn)行改進(jìn),從極值標(biāo)準(zhǔn)化入手,確定模糊評(píng)定等級(jí)、隸屬度函數(shù)、權(quán)重集,運(yùn)用夾角余弦法建立模糊相似矩陣再改造為等價(jià)矩陣,最后進(jìn)行聚類(lèi)分析?朔松鲜霾缓侠硇裕〉昧吮容^滿意的結(jié)果。并與總分平均分法比較,闡明了前者比后者更有利于客觀地評(píng)定出優(yōu)秀學(xué)生,調(diào)動(dòng)學(xué)生的學(xué)習(xí)積極性。從而使得獎(jiǎng)學(xué)金的評(píng)定工作更趨于科學(xué)化、合理化。

關(guān)鍵詞:獎(jiǎng)學(xué)金評(píng)定;模糊聚類(lèi)分析;夾角余弦法;模糊相似矩陣;

Abstract

    In the resent years, the evaluation work of undergraduate scholarship is an important component of the students work. In the course of implementing, scientific, perfect appraisal systems play an important role. But in the evaluation of scholarships of different schools, the traditional evaluation is ranking students on the base of their total or average points brings much unreasonableness due to different majors grades curricula, the depth and difficulty of tests as well as marking teachers. This paper analyses the issues which exit in the evaluation work of undergraduate of issue. Starting from extremum standardization, the article defines ranks of fuzzy evaluation, subordinate function, weight sets, it establishes fuzzy similar matrices by applying angle cosine and changing them into equivalent matrices, then it makes cluster analysis. The produce overcomes the above mentioned unreasonableness and obtains satisfactory results. Moreover, it compare with total score and average score what the former is more advantage with judgment model students and bring activeness of students. In order to improve the method and make the judgment of scholarship more scientific and quantitative.

Keywords: scholarship judgment; fuzzy clustering analysis; angle cosine; fuzzy similar matrices; 

模糊聚類(lèi)分析在獎(jiǎng)學(xué)金評(píng)定中的應(yīng)用

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