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Showing 1 to 20 of 26 for “"Rough Set"”.

  1. Structured Rough Set Approximations

    Hu, MengjunFaculty of Graduate Studies and Research, University of Regina2014

    Rough set theory is widely used in many areas, such as artificial intelligence, machine learning and data mining. Lower and upper approximations are two fundamental notions for concept analysis with rough set theory. In rough set theory, one can obtain two kinds of sets in an information table, …

    regina Repository record

  2. Reducts and Rough Set Analysis

    Fu, RongFaculty of Graduate Studies and Research, University of Regina2012

    Rough set theory offers a mathematical approach to data analysis and data mining. It can be used to learn classification rules that define classes of a classi- fication based on some well defined concepts. The fundamental task of rough set data analysis is to precisely construct and interpret …

    regina Repository record

  3. Optimizing Rough Set Flow Graph Inference

    Wang, JunFaculty of Graduate Studies and Research, University of Regina2018

    … directed acyclic graph (DAG) and a corresponding set of conditional probability tables (CPTs). The probabilistic conditional independencies encoded in the DAG indicate that the product of the CPTs is a joint probability distribution. A central step in probabilistic inference is to eliminate …

    regina Repository record

  4. Rough set approach to spam filter learning.

    Glymin, MawuenaFaculty of Graduate Studies and Research, University of Regina2010

    regina Repository record

  5. Stock market analysis utilizing rough set theory.

    Golan, Robert HenryFaculty of Graduate Studies and Research, University of Regina1995

    regina Repository record

  6. Rough set Kansei engineering: multiple users, multiple Kanseis

    Ahmady, Ali2010

    wichita-thes

  7. Rough set-based distance learning algorithm and its implementation.

    Liang, Aileen HongboFaculty of Graduate Studies and Research, University of Regina2001

    regina Repository record

  8. Knowledge discovery in databases: An attribute-oriented rough set approach.

    Hu, XiaohuaFaculty of Graduate Studies and Research, University of Regina1995

    regina Repository record

  9. Fuzzy rough set methods for emotion detection and sentiment analysis

    Kaminska, OlhaGhent University. Faculty of Sciences2023

    In dit proefschrift gebruiken we fuzzy rough set-methoden voor taken op het gebied van natuurlijke taalverwerking zoals emotiedetectie en sentimentanalyse. In het bijzonder werken we met ordinale multiclassificatie voor het categoriseren van emotie-intensiteit; binaire classificatie voor het …

    ghent Repository record

  10. Data analysis and predictive modelling using the Variable Precision Rough Set approach.

    Aryeetey, KweiFaculty of Graduate Studies and Research, University of Regina2004

    regina Repository record

  11. Empirical analysis of rough set categorical clustering techniques based on rough purity and value set

    Uddin, JamalUniversiti Tun Hussein Onn Malaysia2017

    Clustering a set of objects into homogeneous groups is a fundamental operation in data mining. Recently, attention has been put on categorical data clustering, where data objects are made up of non-numerical attributes. The implementation of several existing categorical clustering techniques is …

    uthm Repository record

  12. Design, development and testing of a fuzzy logic and rough set controller for HVAC systems.

    Arima, MasanoriFaculty of Graduate Studies and Research, University of Regina1996

    regina Repository record

  13. Dealing with imbalanced and weakly labelled data in machine learning using fuzzy and rough set methods

    Vluymans, SarahGhent University. Faculty of Medicine and Health Sciences ; University of Granada. Department of Computer Science and Artificial Intelligence2018

    ghent Repository record

  14. Sequential Approaches to Three-Way Data Analytics

    Hu, MengjunFaculty of Graduate Studies and Research, University of Regina2019

    … specific model of three-way classification with rough set theory, where structured approximations are i proposed to learn three-way classification rules. Acceptance and rejection rules classify positive and negative instances of a class, respectively. Non-commitment rules allow users to make no …

    regina Repository record

  15. Incorporating Three-Way Email Spam Filtering With Game-Theoretic Rough Sets

    Liu, PengfeiFaculty of Graduate Studies and Research, University of Regina2019

    … is result from the three-way classifications. Rough set theory is a theory that is used in the field of data analysis. Rough set theory provides a way to make decisions in incomplete and insufficient knowledge. Three-way classifications are constructed on the concept of rough set theory. This …

    regina Repository record

  16. The Quantification of Perception Based Uncertainty Using R-fuzzy Sets and Grey Analysis

    Khuman, A. S.De Montfort University2016

    … which to enhance and expand upon. An R-fuzzy set can be seen as a relatively new model, one which itself is an extension to fuzzy set theory. It makes use of a lower and upper approximation bounding from rough set theory, which allows for the membership function of an R-fuzzy set to be that of …

    de-montfort Repository record

  17. Un sistema di supporto alle decisioni per la gestione della manutenzione dei ponti di una rete viaria

    SAPIENZA, PAOLAUniversità degli studi di Catania2011

    … di rete, basato sulla teoria del Dominance-based Rough Set Approach (DRSA). Il DRSA produce un modello decisionale espresso in termini di regole facilmente comprensibili "se...allora..."che controllano il processo decisionale ed evitano l'effetto "scatola nera" di altri sistemi alternativi. Nel …

    catania Repository record

  18. Életlen grammatikák, életlen automaták, életlen nyelvek

    Kuczik, Anna2022

    … a lehetőségeket, melyek mentén egy-egy automata esetlegesen egyszerűbben megadható lenne. A hagyományos formális nyelvek elméletével vetem össze az életlen halmazok elméletének segítségével definiált életlen formális nyelveket és ezek kapcsolatát vizsgálom. Az alapvető kérdés, hogy mely elemei …

    debrecen Repository record

  19. Forecasting CO₂ emissions and identifying key CCUS factors for achieving net-zero targets in the North American cement, iron, and steel industries

    Galaviz Roman, AngelFaculty of Graduate Studies and Research, University of Regina2024

    … as a potential solution, utilizing Fuzzy and Rough DEMATEL analyses to identify and prioritize factors for successful CCUS deployment in industrial applications. The findings reveal a steady increase in CO₂ emissions in both cement and I&S industries, with an estimated annual growth of …

    regina Repository record

  20. Transformation Paradox: A Framework for the Analysis of Politics in Enterprise Transformations

    Miller, Cindy S.2019

    … embody politics in enterprise transformations. Rough set theory is used to demonstrate the ability of the framework to be adaptive and to evolve based on the inclusion of new data. I conclude that the deployment of an evolving framework of this magnitude may have a significant impact on the …

    odu Repository record

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