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An Influence Analysis of the Inconsistency Degree on the Quality of Collective Knowledge for Objective Case

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Intelligent Information and Database Systems (ACIIDS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9621))

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Abstract

In collective knowledge determination, objective case is the case which the real knowledge state of a subject in the real world exists independently of the knowledge states given by autonomous units. With inconsistency we have in mind some conflicts between the knowledge states of a collective. Besides, the measure of the quality of collective knowledge is based on the distance from the collective knowledge to the real knowledge state. In this work we investigate the influence of the inconsistency degree of a collective on the quality of collective knowledge by increasing the number of collective members. Based on the Euclidean space, some criteria for adding members to a collective and simulating the real knowledge state of a subject in the real world are proposed. Through experiments analysis, adding members causes decreasing the inconsistency degree of a collective is not always helpful in making the quality of collective knowledge to be better. Instead, the quality of collective knowledge tends to be better if added members are closer to the real knowledge state.

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Authors and Affiliations

  1. Department of Information Systems, Faculty of Computer Science and Management, Wroclaw University of Technology, Wroclaw, Poland

    Van Du Nguyen & Ngoc Thanh Nguyen

Authors
  1. Van Du Nguyen
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  2. Ngoc Thanh Nguyen
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Correspondence to Van Du Nguyen .

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Editors and Affiliations

  1. Wrocław University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Wrocław University of Technology, Wrocław, Poland

    Bogdan Trawiński

  3. Iwate Prefectural University, Takizawa, Japan

    Hamido Fujita

  4. National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

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Nguyen, V.D., Nguyen, N.T. (2016). An Influence Analysis of the Inconsistency Degree on the Quality of Collective Knowledge for Objective Case. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, TP. (eds) Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science(), vol 9621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49381-6_3

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  • DOI: https://doi.org/10.1007/978-3-662-49381-6_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49380-9

  • Online ISBN: 978-3-662-49381-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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