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Advance Trends in Soft Computing pp 203–217Cite as

Comparative Analysis of Evaluation Algorithms for Decision-Making in Transport Logistics

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 312))

Abstract

The analysis of existing methods and approaches for solving transport logistics problems was performed in this paper, particularly, for optimal choice of transport company. In the working process the complex of decision making criteria was formed and the hierarchical structure of decision support system (DSS) for corresponding tasks was made. Thereby the list of different-type methods (classical and fuzzy) for synthesis of developed DSS was defined. A comparative analysis of the application of fuzzy analytic hierarchy process and the method based on fuzzy inference was held for synthesis DSS for the optimal choice of transport company. The final results prove the effectiveness and reasonability of using fuzzy modeling in problems of transport logistics.

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Authors and Affiliations

  1. Department of Intelligent Information Systems, Petro Mohyla Black Sea State University, 68-th Desantnykiv str. 10, 54003, Mykolaiv, Ukraine

    Yuriy P. Kondratenko & Ievgen V. Sidenko

  2. Department of Ecology, Petro Mohyla Black Sea State University, 68-th Desantnykiv str. 10, 54003, Mykolaiv, Ukraine

    Leonid P. Klymenko

Authors
  1. Yuriy P. Kondratenko
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  2. Leonid P. Klymenko
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  3. Ievgen V. Sidenko
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Corresponding author

Correspondence to Yuriy P. Kondratenko .

Editor information

Editors and Affiliations

  1. The University of Texas, San Antonio, Texas, USA

    Mo Jamshidi

  2. Department of Computer Science, University of Texas at El Paso, El Paso, Texas, USA

    Vladik Kreinovich

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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© 2014 Springer International Publishing Switzerland

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Kondratenko, Y.P., Klymenko, L.P., Sidenko, I.V. (2014). Comparative Analysis of Evaluation Algorithms for Decision-Making in Transport Logistics. In: Jamshidi, M., Kreinovich, V., Kacprzyk, J. (eds) Advance Trends in Soft Computing. Studies in Fuzziness and Soft Computing, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-319-03674-8_20

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  • DOI: https://doi.org/10.1007/978-3-319-03674-8_20

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03673-1

  • Online ISBN: 978-3-319-03674-8

  • eBook Packages: EngineeringEngineering (R0)

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