Main Reference PaperFuzzy Rule Based Classification for Heart Dataset using Fuzzy Decision Tree Algorithm based on Fuzzy RDBMS, World Applied Sciences Journal, December 2013 [Java]
  • The proposed FDT method to construct fuzzy decision trees from relational database system and then generate fuzzy rules from the fuzzy decision tree for knowledge base called the fuzzy rule generation system FRGS algorithm. To improve the classification accuracy further, relevant features only used in the decision tree, which improves the time of classification as well as interpretability of the model.

+ Description
  • The proposed FDT method to construct fuzzy decision trees from relational database system and then generate fuzzy rules from the fuzzy decision tree for knowledge base called the fuzzy rule generation system FRGS algorithm. To improve the classification accuracy further, relevant features only used in the decision tree, which improves the time of classification as well as interpretability of the model.

  • To improve the performance of classification by invoking the feature selection method.

  • To improve classification accuracy.

+ Aim & Objectives
  • To improve the performance of classification by invoking the feature selection method.

  • To improve classification accuracy.

  • The proposed feature selection algorithm calculates information gain and entropy measures on all medical features, making it possible to select important features.

+ Contribution
  • The proposed feature selection algorithm calculates information gain and entropy measures on all medical features, making it possible to select important features.

  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, & J2SE

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, & J2SE

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-Depending on the complexity of the project and requirements.

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