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The Temporal Supplier Evaluation Model Based on Multicriteria Decision Analysis Methods

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Intelligent Information and Database Systems (ACIIDS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10191))

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Abstract

An important element of the provided chain managing process is the rating of suppliers. The paper presents a new framework to identify a temporal supplier evaluation model by using Multi-Criteria Decision Analysis (MCDA) methods. Proposed approach extends classical MCDA paradigm with aspects of temporal evaluation and dedicated aggregation strategies. Afterwards, the proposed framework is used in the identification process for as an illustrative example. Finally, the accuracy of the obtained results is compared and discussed.

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Authors and Affiliations

  1. Faculty of Computer Science and Informtaion Technology, West Pomeranian University of Technology in Szczecin, Żołnierska 49, 71-210, Szczecin, Poland

    Jarosław Wątróbski & Wojciech Sałabun

  2. Faculty of Economics and Management, University of Szczecin, Mickiewicza 64, 71-101, Szczecin, Poland

    Grzegorz Ladorucki

Authors
  1. Jarosław Wątróbski
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  2. Wojciech Sałabun
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  3. Grzegorz Ladorucki
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Corresponding author

Correspondence to Wojciech Sałabun .

Editor information

Editors and Affiliations

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

    Ngoc Thanh Nguyen

  2. Japan Advanced Institute of Science and Technology , Nomi, Japan

    Satoshi Tojo

  3. Japan Advanced Institute of Science and Technology , Nomi, Japan

    Le Minh Nguyen

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

    Bogdan Trawiński

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Wątróbski, J., Sałabun, W., Ladorucki, G. (2017). The Temporal Supplier Evaluation Model Based on Multicriteria Decision Analysis Methods. In: Nguyen, N., Tojo, S., Nguyen, L., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2017. Lecture Notes in Computer Science(), vol 10191. Springer, Cham. https://doi.org/10.1007/978-3-319-54472-4_41

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  • DOI: https://doi.org/10.1007/978-3-319-54472-4_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54471-7

  • Online ISBN: 978-3-319-54472-4

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