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A New Random Forest Ensemble of Intuitionistic Fuzzy Decision Trees

https://doi.org/10.1109/tfuzz.2022.3215725

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Regression and Classification Trees

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A novel fuzzy classifier with Choquet integral-based grey relational analysis for pattern classification problems

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Extending information processing in a Fuzzy Random Forest ensemble

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Ensemble-based classifiers

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FURIA: an algorithm for unordered fuzzy rule induction

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FCM: The fuzzy c-means clustering algorithm

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Induction of fuzzy decision trees

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Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets

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Fuzzy sets in machine learning and data mining

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Classification by ensembles from random partitions of high-dimensional data

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An analysis of boosted ensembles of binary fuzzy decision trees

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A fuzzy random forest

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Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction

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IFDTC4.5: Intuitionistic fuzzy logic based decision tree for E-transactional fraud detection

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Fuzzy sets

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Intuitionistic fuzzy sets

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Distances between intuitionistic fuzzy sets

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Entropy for intuitionistic fuzzy sets

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Control problems of grey systems

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Using fuzzy measures and habitual domains to analyze the public attitude and apply to the gas taxi policy

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Fuzzy sets and fuzzy logic: Theory and applications

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Random Forests

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The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance

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A neural-network-based fuzzy classifier

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The random subspace method for constructing decision forests

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Fuzzy decision trees: issues and methods

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A comparative study on heuristic algorithms for generating fuzzy decision trees

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An efficient fuzzy classifier with feature selection based on fuzzy entropy

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Decision-based neural networks with signal/image classification applications

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A new approach to fuzzy random forest generation

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Radial-basis-function networks: learning and applications

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Why Fuzzy Decision Trees are Good Rankers

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Intuitionistic Fuzzy Cognitive Maps

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On Distributed Fuzzy Decision Trees for Big Data

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Fusing Fuzzy Monotonic Decision Trees

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Large-Scale Malicious Software Classification With Fuzzified Features and Boosted Fuzzy Random Forest

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Enhanced Fuzzy Random Forest by Using Doubly Randomness and Copying From Dynamic Dictionary Attributes

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Boosting an associative classifier

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Fuzzy SLIQ Decision Tree Algorithm

inferredcites →https://doi.org/10.1111/1467-9639.00050openalex-snapshot

An Introduction to the Bootstrap

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Data clustering

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Improved Use of Continuous Attributes in C4.5

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Fuzzy Forests: Extending Random Forest Feature Selection for Correlated, High-Dimensional Data

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An Approach to Intuitionistic Fuzzy Decision Trees

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