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A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
TLDR
A taxonomy for ensemble-based methods to address the class imbalance where each proposal can be categorized depending on the inner ensemble methodology in which it is based is proposed and a thorough empirical comparison is developed by the consideration of the most significant published approaches to show whether any of them makes a difference.
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Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets
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Vague sets are intuitionistic fuzzy sets
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An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes
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Correlation of interval-valued intuitionistic fuzzy sets
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Automorphisms, negations and implication operators
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On averaging operators for Atanassov's intuitionistic fuzzy sets
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Indicator of inclusion grade for interval-valued fuzzy sets. Application to approximate reasoning based on interval-valued fuzzy sets
  • H. Bustince
  • Computer Science
    Int. J. Approx. Reason.
  • 1 March 2000
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A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation
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A Practical Guide to Averaging Functions
TLDR
This book presents different ways of aggregating input values given on a numerical scale, and of choosing and/or constructing aggregating functions for specific applications, and outlines new aggregation methods developed in the interim, with a special focus on the topic of averaging aggregation functions.
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