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Solving Inconsistencies in Probabilistic Knowledge Bases via Inconsistency Measures

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Intelligent Information and Database Systems (ACIIDS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10751))

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Abstract

In most knowledge-based systems, the guarantee of consistency is one of the essential tasks to ensure them to avoid the trivial cases. Because of this reason, a wide range of approaches has been proposed for restoring consistency. However, these approaches often correspond to logical, or probabilistic-logical framework. In this paper, we investigate a model for restoring the consistency of probabilistic knowledge bases by focusing on the method of changing the probabilities in such knowledge bases. To this aim, a process to restore the consistency based on inconsistency measures is introduced, a set of rational and intuitive axioms to characterize the restoring operators is proposed, and several logical properties are investigated and discussed.

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Acknowledgment

The authors would like to thank Professor Quang Thuy Ha, Faculty of Information Technology, Hanoi University of Engineering and Technology, Vietnam and Professor Ngoc Thanh Nguyen, Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Poland for their expertise support.

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Authors and Affiliations

  1. Nam Dinh University of Technology Education, Nam Dinh, Vietnam

    Van Tham Nguyen

  2. Vietnam National University, Hanoi, Vietnam

    Van Tham Nguyen & Trong Hieu Tran

Authors
  1. Van Tham Nguyen
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  2. Trong Hieu Tran
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Corresponding author

Correspondence to Van Tham Nguyen .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Quang Binh University, Dong Hoi City, Vietnam

    Duong Hung Hoang

  3. National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

  4. Rutgers University, Piscataway, New Jersey, USA

    Hoang Pham

  5. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Nguyen, V.T., Tran, T.H. (2018). Solving Inconsistencies in Probabilistic Knowledge Bases via Inconsistency Measures. In: Nguyen, N., Hoang, D., Hong, TP., Pham, H., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2018. Lecture Notes in Computer Science(), vol 10751. Springer, Cham. https://doi.org/10.1007/978-3-319-75417-8_1

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  • DOI: https://doi.org/10.1007/978-3-319-75417-8_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75416-1

  • Online ISBN: 978-3-319-75417-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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