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Heuristic Algorithms for 2-Optimality Consensus Determination

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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

The data stored in many distributed sources is often used in decision making processes. However, the determination of a one, consistent version of its elements (called in this paper as a consensus) could be a very time- and cost-consuming. Therefore, the balance between these factors and the quality the results is needed. This paper is devoted to designing and analysing some methods of the consensus determination. The main aim of conducted experiments is to find the most efficient algorithm which achieves the best quality of the results in the shortest possible time.

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Authors and Affiliations

  1. Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Adrianna Kozierkiewicz & Mateusz Sitarczyk

Authors
  1. Adrianna Kozierkiewicz
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  2. Mateusz Sitarczyk
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Corresponding author

Correspondence to Adrianna Kozierkiewicz .

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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Kozierkiewicz, A., Sitarczyk, M. (2018). Heuristic Algorithms for 2-Optimality Consensus Determination. 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_5

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  • DOI: https://doi.org/10.1007/978-3-319-75417-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75416-1

  • Online ISBN: 978-3-319-75417-8

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