计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2013年
12期
171-175,180
,共6页
Vague值(集)%相似度量%模糊熵%相对熵%模拟%类别区分
Vague值(集)%相似度量%模糊熵%相對熵%模擬%類彆區分
Vague치(집)%상사도량%모호적%상대적%모의%유별구분
Vague values(sets)%similarity measure%fuzzy entropy%relative entropy%simulation%category recognition
为解决Vague值(集)的相似度量问题,提出一种公理化意义下全面综合的度量方法。通过对现有Vague集相似度量的功能进行分析对比,获得在相似度量公理化下的扩展形式,并结合模糊熵理论,综合Vague值(集)相对熵的公理化思想,研究Vague值(集)相似度量与相对熵的关系,给出带参数的计算方法。分析结果证明,将该方法应用于国画类别的区分识别中,能获得较好的分类结果。
為解決Vague值(集)的相似度量問題,提齣一種公理化意義下全麵綜閤的度量方法。通過對現有Vague集相似度量的功能進行分析對比,穫得在相似度量公理化下的擴展形式,併結閤模糊熵理論,綜閤Vague值(集)相對熵的公理化思想,研究Vague值(集)相似度量與相對熵的關繫,給齣帶參數的計算方法。分析結果證明,將該方法應用于國畫類彆的區分識彆中,能穫得較好的分類結果。
위해결Vague치(집)적상사도량문제,제출일충공이화의의하전면종합적도량방법。통과대현유Vague집상사도량적공능진행분석대비,획득재상사도량공이화하적확전형식,병결합모호적이론,종합Vague치(집)상대적적공이화사상,연구Vague치(집)상사도량여상대적적관계,급출대삼수적계산방법。분석결과증명,장해방법응용우국화유별적구분식별중,능획득교호적분류결과。
As one of the important issues in artificial intelligence, uncertainty measuring methods are put forward and widely used in applications. Considering this, this paper introduces several existing definitions about similarity measure on Vague values(sets), along with the analyzing of their properties. Then it presents an effective matching definition of similarity measure between Vague values(sets). Further, it proposes a formula to compute the entropy of Vague values(sets) together with an axiomatizing idea on fuzzy entropy. All the measures between Vague values(sets) are validated with experimental data. The proposed method is improved and the simulation results show the actual effect on category recognition of Chinese drawing.