Accurate multi-criteria decision making methodology for recommending machine learning algorithm
作者：
Highlights：
• A multi-criteria decision making methodology is proposed to select best classifier.
• NGT-based method is adapted to choose suitable classifier's evaluation metrics.
• Accuracy, time complexity and consistency based new ranking criteria is designed.
• AHP-based method is adapted to estimate relative weights for evaluation metrics.
• Classifiers are ranked based on relative closeness score, computed using TOPSIS.
摘要
•A multi-criteria decision making methodology is proposed to select best classifier.•NGT-based method is adapted to choose suitable classifier's evaluation metrics.•Accuracy, time complexity and consistency based new ranking criteria is designed.•AHP-based method is adapted to estimate relative weights for evaluation metrics.•Classifiers are ranked based on relative closeness score, computed using TOPSIS.
论文关键词：Multi-criteria decision making,Algorithm recommendation,Algorithm selection,Classification algorithms,Classifiers recommendation,TOPSIS,Ranking classifiers
论文评审过程：Received 30 March 2016, Revised 22 November 2016, Accepted 23 November 2016, Available online 24 November 2016, Version of Record 6 December 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.11.034
