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A Possibilistic Information Fusion-Based Unsupervised Feature Selection Method Using Information Quality Measures

https://doi.org/10.1109/tfuzz.2023.3238803
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What this work says

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

inferredcites →https://doi.org/10.1002/int.22363openalex-snapshot
Multisource basic probability assignment fusion based on information quality
inferredcites →https://doi.org/10.1007/978-3-030-03643-0openalex-snapshot
Information Quality in Information Fusion and Decision Making
inferredcites →https://doi.org/10.1016/0165-0114(78)90029-5openalex-snapshot
Fuzzy sets as a basis for a theory of possibility
inferredcites →https://doi.org/10.1016/0165-0114(94)90003-5openalex-snapshot
Why triangular membership functions?
inferredcites →https://doi.org/10.1016/0165-0114(95)00305-3openalex-snapshot
Induction of fuzzy rules and membership functions from training examples
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Entropy conserving probability transforms and the entailment principle
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Fuzzy information systems and their homomorphisms
inferredcites →https://doi.org/10.1016/j.inffus.2016.02.005openalex-snapshot
An intelligent quality-based approach to fusing multi-source probabilistic information
inferredcites →https://doi.org/10.1016/j.inffus.2018.08.007openalex-snapshot
Information fusion in rough set theory : An overview
inferredcites →https://doi.org/10.1016/j.inffus.2019.08.003openalex-snapshot
An intelligent quality-based approach to fusing multi-source possibilistic information
inferredcites →https://doi.org/10.1016/j.inffus.2020.11.004openalex-snapshot
Multi-source information fusion based on rough set theory: A review
inferredcites →https://doi.org/10.1016/j.inffus.2021.09.017openalex-snapshot
On the use of information fusion techniques to improve information quality: Taxonomy, opportunities and challenges
inferredcites →https://doi.org/10.1016/j.inffus.2021.10.017openalex-snapshot
A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data
inferredcites →https://doi.org/10.1016/j.ins.2020.01.026openalex-snapshot
Attitude quantifier based possibility distribution generation method for hesitant fuzzy linguistic group decision making
inferredcites →https://doi.org/10.1016/j.ins.2020.06.050openalex-snapshot
A novel decision-making approach based on three-way decisions in fuzzy information systems
inferredcites →https://doi.org/10.1016/j.knosys.2021.107398openalex-snapshot
Fuzzy complementary entropy using hybrid-kernel function and its unsupervised attribute reduction
inferredcites →https://doi.org/10.1016/j.uclim.2021.100960openalex-snapshot
Information fusion and information quality assessment for environmental forecasting
inferredcites →https://doi.org/10.1016/s0165-0114(97)00102-4openalex-snapshot
A theory of possibility distributions
inferredcites →https://doi.org/10.1016/s0888-613x(98)10017-8openalex-snapshot
An overview of membership function generation techniques for pattern recognition
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ON THE THEORY OF BAGS
inferredcites →https://doi.org/10.1109/34.990133openalex-snapshot
Unsupervised feature selection using feature similarity
inferredcites →https://doi.org/10.1109/3477.915344openalex-snapshot
A comparative study on heuristic algorithms for generating fuzzy decision trees
inferredcites →https://doi.org/10.1109/91.890335openalex-snapshot
Representing membership functions as points in high-dimensional spaces for fuzzy interpolation and extrapolation
inferredcites →https://doi.org/10.1109/access.2019.2937679openalex-snapshot
The Maximum Deng Entropy
inferredcites →https://doi.org/10.1109/fuzz-ieee.2012.6251210openalex-snapshot
Twelve considerations in choosing between Gaussian and trapezoidal membership functions in interval type-2 fuzzy logic controllers
inferredcites →https://doi.org/10.1109/tcbb.2015.2478454openalex-snapshot
Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection
inferredcites →https://doi.org/10.1109/tcyb.2015.2413894openalex-snapshot
Possibility Distribution-Based Approach for MAGDM With Hesitant Fuzzy Linguistic Information
inferredcites →https://doi.org/10.1109/tcyb.2021.3112203openalex-snapshot
Interactive and Complementary Feature Selection via Fuzzy Multigranularity Uncertainty Measures
inferredcites →https://doi.org/10.1109/tfuzz.2006.876332openalex-snapshot
Interpolation with function space representation of membership functions
inferredcites →https://doi.org/10.1109/tfuzz.2006.889960openalex-snapshot
Attributes Reduction Using Fuzzy Rough Sets
inferredcites →https://doi.org/10.1109/tfuzz.2011.2165847openalex-snapshot
Conditional Approach to Possibility-Probability Fusion
inferredcites →https://doi.org/10.1109/tfuzz.2015.2451692openalex-snapshot
A Historical Account of Types of Fuzzy Sets and Their Relationships
inferredcites →https://doi.org/10.1109/tfuzz.2018.2832608openalex-snapshot
Dynamic Fusion of Multisource Interval-Valued Data by Fuzzy Granulation
inferredcites →https://doi.org/10.1109/tfuzz.2019.2920803openalex-snapshot
On Elliptical Possibility Distributions
inferredcites →https://doi.org/10.1109/tfuzz.2020.2989098openalex-snapshot
Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets
inferredcites →https://doi.org/10.1109/tfuzz.2020.3016723openalex-snapshot
On the Maximum Entropy Negation of a Complex-Valued Distribution
inferredcites →https://doi.org/10.1109/tfuzz.2020.3026834openalex-snapshot
Regularized Regression With Fuzzy Membership Embedding for Unsupervised Feature Selection
inferredcites →https://doi.org/10.1109/tfuzz.2021.3114734openalex-snapshot
A Novel Unsupervised Approach to Heterogeneous Feature Selection Based on Fuzzy Mutual Information
inferredcites →https://doi.org/10.1109/tip.2016.2574992openalex-snapshot
Iterative Refinement of Possibility Distributions by Learning for Pixel-Based Classification
inferredcites →https://doi.org/10.1109/tkde.2017.2650906openalex-snapshot
Feature Selection by Maximizing Independent Classification Information
inferredcites →https://doi.org/10.1109/tnnls.2012.2214057openalex-snapshot
Boosted Network Classifiers for Local Feature Selection
inferredcites →https://doi.org/10.1109/tnnls.2014.2314123openalex-snapshot
Semisupervised Feature Selection via Spline Regression for Video Semantic Recognition
inferredcites →https://doi.org/10.1109/tnnls.2016.2521602openalex-snapshot
Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection
inferredcites →https://doi.org/10.1109/tnnls.2017.2650978openalex-snapshot
Adaptive Unsupervised Feature Selection With Structure Regularization
inferredcites →https://doi.org/10.1109/tpami.2005.159openalex-snapshot
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
inferredcites →https://doi.org/10.1109/tpami.2010.195openalex-snapshot
The Fisher-Markov Selector: Fast Selecting Maximally Separable Feature Subset for Multiclass Classification with Applications to High-Dimensional Data
inferredcites →https://doi.org/10.1109/tpami.2010.84openalex-snapshot
On the Complexity of Discrete Feature Selection for Optimal Classification
inferredcites →https://doi.org/10.1145/1273496.1273641openalex-snapshot
Spectral feature selection for supervised and unsupervised learning
inferredcites →https://doi.org/10.1214/aoms/1177731944openalex-snapshot
A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings
inferredcites →https://doi.org/10.1515/jaiscr-2016-0005openalex-snapshot
Influence Of Membership Function’s Shape On Portfolio Optimization Results
inferredcites →https://doi.org/10.5555/944919.944968openalex-snapshot
An introduction to variable and feature selection
inferredcites →https://doi.org/10.5772/intechopen.79552openalex-snapshot
Introductory Chapter: Which Membership Function is Appropriate in Fuzzy System?

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