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  3. Vol. 14 No. 1 (2020): Jan: Enterprise Modelling

Vol. 14 No. 1 (2020): Jan: Enterprise Modelling

					View Vol. 14 No. 1 (2020): Jan: Enterprise Modelling

The International Journal of Enterprise Modelling serves as a venue for anyone interested in business and management modelling. It investigates the conceptual forerunners and theoretical underpinnings that lead to research modelling procedures that inform research and practice.

 

 

 

DOI: https://doi.org/10.35335/emod.v14i1
Published: 2020-01-30

Articles

  • Optimizing Dataset Classification with Hybrid Grid Partitioning and Rough Set-based Fuzzy Rule Generation Approach

    Dall Matew Caloz
    1-13
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  • Hybrid Grid Partitioning and Rough Set-based Fuzzy Rule Generation for Enhanced Accuracy and Interpretability in Dataset Classification

    Philip Shukula Murphy
    14-22
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  • Optimizing Fuzzy Grid Partition Performance for Rule Generation

    Essowèmlou Jürgen
    23-31
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  • Enhancing Dataset Classification through Optimized Fuzzy Grid Partitioning for Rule Generation

    Ndayishimi Nijimbere
    32-45
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  • Optimizing Fuzzy Grid Partition Performance for Rule Generation in Dataset Classification

    Ülikool Gilad
    46-57
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International Journal of Enterprise Modelling

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Based on a work at https://ieia.ristek.or.id/index.php/ieia/index
Published by International Enterprise Integration Association

Address:
Jl. Raya Abepura, Wahno, Kec. Abepura, Kota Jayapura, Papua 199926, Indonesia
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Copyright © International Journal of Enterprise Modelling

Disclaimer: Articles on International Journal of Enterprise Modelling have been previewed and authenticated by the Authors before sending for publication. The Journal, Chief Editor, and the editorial board are not entitled or liable to either justify or responsible for inaccurate and misleading data if any. It is the sole responsibility of the Author concerned.
International Enterprise Integration Association. Email: editorialieia@gmail.com  Phone: +62 812-7777-3991

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