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On the quality evaluation of scientific entities in Poland supported by consistency-driven pairwise comparisons method

Author

Listed:
  • Waldemar W. Koczkodaj

    (Laurentian University)

  • Konrad Kułakowski

    (AGH University of Science and Technology)

  • Antoni Ligęza

    (AGH University of Science and Technology)

Abstract

Comparison, rating, and ranking of alternative solutions, in case of multicriteria evaluations, have been an eternal focus of operations research and optimization theory. There exist numerous approaches at practical solving the multicriteria ranking problem. The recent focus of interest in this domain was the event of parametric evaluation of research entities in Poland. The principal methodology was based on pairwise comparisons. For each single comparison, four criteria have been used. One of the controversial points of the assumed approach was that the weights of these criteria were arbitrary. The main focus of this study is to put forward a theoretically justified way of extracting weights from the opinions of domain experts. Theoretical bases for the whole procedure are based on a survey and its experimental results. Discussion and comparison of the two resulting sets of weights and the computed inconsistency indicator are discussed.

Suggested Citation

  • Waldemar W. Koczkodaj & Konrad Kułakowski & Antoni Ligęza, 2014. "On the quality evaluation of scientific entities in Poland supported by consistency-driven pairwise comparisons method," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 911-926, June.
    • Handle: RePEc:spr:scient:v:99:y:2014:i:3:d:10.1007_s11192-014-1258-y
    DOI: 10.1007/s11192-014-1258-y
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    References listed on IDEAS

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    1. Dong, Yucheng & Xu, Yinfeng & Li, Hongyi & Dai, Min, 2008. "A comparative study of the numerical scales and the prioritization methods in AHP," European Journal of Operational Research, Elsevier, vol. 186(1), pages 229-242, April.
    2. P Ji & R Jiang, 2003. "Scale transitivity in the AHP," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(8), pages 896-905, August.
    3. Thomas L. Saaty, 2005. "The Analytic Hierarchy and Analytic Network Processes for the Measurement of Intangible Criteria and for Decision-Making," International Series in Operations Research & Management Science, in: Multiple Criteria Decision Analysis: State of the Art Surveys, chapter 0, pages 345-405, Springer.
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    Cited by:

    1. Dejan Pajić, 2015. "Globalization of the social sciences in Eastern Europe: genuine breakthrough or a slippery slope of the research evaluation practice?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2131-2150, March.
    2. Matteo Brunelli, 2017. "Studying a set of properties of inconsistency indices for pairwise comparisons," Annals of Operations Research, Springer, vol. 248(1), pages 143-161, January.
    3. Matteo Brunelli & Michele Fedrizzi, 2019. "A general formulation for some inconsistency indices of pairwise comparisons," Annals of Operations Research, Springer, vol. 274(1), pages 155-169, March.

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