Rule based Hybrid Weighted Fuzzy Classifier for Tumor Data

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    Examination of gene based information has turned out to be so essential in biomedical industry for assurance of basic ailments. A fuzzy rule based classification is a standout amongst the most mainstream approaches utilized as a part of example arrangement issues. The fuzzy rule based classifier creates an arrangement of fuzzy if-then decides that empower exact non-straight order of information designs. In spite of the fact that there are different techniques to create fluffy if-then guidelines, the advancement of lead producing process is as yet an issue. Here, we introduce a half and half weighted fluffy order framework in which few fluffy if-then principles are chosen by methods for offering weights to preparing designs. Further, we utilize a genetic algorithm (GA) to streamline the classifier for quality articulation investigation

     

     


  • Keywords


    Data mining, classificaton, Bioinformatics, Fuzzy sytems ,genetic algorithms, weighted rule.

  • References


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Article ID: 22030
 
DOI: 10.14419/ijet.v7i4.19.22030




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