Linguistic Summaries Generation with Hybridization Method Based on Rough and Fuzzy Sets

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IJCRS (2020 : Online) Rough sets
1. Verfasser: Pupo, Iliana Pérez (VerfasserIn)
Weitere Verfasser: Pérez, Pedro Y. Piñero (VerfasserIn), Bello, Rafael (VerfasserIn), Acufia, Luis Alvarado (VerfasserIn), Vacacela, Roberto García (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2020
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Approximate Reaction Systems Based on Rough Set Theory 2020 Campagner, Andrea
Modeling Use-Oriented Attribute Importance with the Three-Way Decision Theory 2020 Cui, Xin
Attribute Reduction from Closure Operators and Matroids in Rough Set Theory 2020 Restrepo, Mauricio
Algebraic Structure of Adjoint Triples Generating a Weak Negation on the Unit Interval 2020 Cornejo, M. Eugenia
Fuzzy FCA Attribute Reduction Properties in Rough Set Theory 2020 Benitez-Caballero, M. José
Representative Set of Objects in Rough Sets Based on Galois Connections 2020 Madrid, Nicolás
Detecting Overlapping Communities Using Distributed Neighbourhood Threshold in Social Networks 2020 Jaiswal, Rajesh
Functional Extensions of Knowledge Representation in General Rough Sets 2020 Mani, A.
Weighted Generalized Fuzzy Petri Nets and Rough Sets for Knowledge Representation and Reasoning 2020 Suraj, Zbigniew
Three-Way Decisions Community Detection Model Based on Weighted Graph Representation 2020 Chen, Jie
Towards Student Centric Rough Concept Inventories 2020 Mani, A.
Object Oriented Protoconcepts and Logics for Double and Pure Double Boolean Algebras 2020 Howlader, Prosenjit
Discovering Fails in Software Projects Planning Based on Linguistic Summaries Rafael Bello, and Luis Alvarado Acuña 2020 Pupo, Iliana Pérez
Linguistic Summaries Generation with Hybridization Method Based on Rough and Fuzzy Sets 2020 Pupo, Iliana Pérez
A Privacy-Preserving, Distributed and Cooperative FCM-Based Learning Approach for Cancer Research 2020 Salmeron, Jose L.
fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets 2020 Lenz, Oliver Urs
Rough Forgetting 2020 Doherty, Patrick
Similarity Based Granules 2020 Nagy, David
The Problem of Finding the Simplest Classifier Ensemble is NP-Hard - A Rough-Set-Inspired Formulation Based on Decision Bireducts 2020 Slezak, Dominik
Feature and Label Association Based on Granulation Entropy for Deep Neural Networks 2020 Bello, Marilyn
Alle Artikel auflisten