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  • 标题:DIAGNOSTICS IN HOMEOPATHIC SYSTEM USING NEURO-FUZZY NETWORKS
  • 本地全文:下载
  • 作者:K.L. Kar ; Rajiv Pathak
  • 期刊名称:International Journal of Computer Science and Network
  • 印刷版ISSN:2277-5420
  • 出版年度:2012
  • 卷号:1
  • 期号:3
  • 出版社:IJCSN publisher
  • 摘要:The principle of Homeopathic system is to select a singlemedicine by priority of the symptoms not by the diseasesfor any patient. Neuro-Fuzzy logic networks can solves theproblem of the diagnostic in Homeopath System.Homeopathic software we suppose the neural networks forsolution the problem of the diagnostic in HomeopathSystem and consider the algorithms of the training. Neuralnetworks will adjust the wet value as symptoms. Usingintuitionistic fuzzy set theory medical diagnosis has beenapplied to the problem of selection of single remedy fromhomeopathic repertorization. Two types of compositions ofIFRs and three types of selection indices have beendiscussed. We also propose a new repertory exploiting thebenefits of sof-intelligence.
  • 关键词:artificial intelligence; Intutionistic fuzzy set;Intutionistic fuzzy relation; repertorization; Automated;decision making; neural networks; training of neural;networks; information granules.
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