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Attitudinal Character Involved Educational Evaluation Models Under Different OWA Aggregation Operators

Received: 4 April 2016     Accepted: 10 May 2016     Published: 3 June 2016
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Abstract

OWA operators, introduced by Yager, are very important non linear aggregation functions in both academic studies and a myriad of applications. In this study, we use two dimensional OWA aggregation function into pedagogical evaluation practice, which will involve the preferences and experiences of decision makers and teachers. In addition, we also introduce a long time educational evaluation model based on Stancu OWA operators with two same parameters. The model involves time orness degree given by teachers and is useful for monitoring long time teaching and learning process in schools.

Published in International Journal of Management and Fuzzy Systems (Volume 2, Issue 1)
DOI 10.11648/j.ijmfs.20160201.11
Page(s) 1-5
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Aggregation Functions, Orness, OWA Operators, Pedagogical Evaluation

References
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[2] M. Grabisch, J. L. Marichal, R. Mesiar, E. Pap, Aggregation Functions, Cambridge University Press 2009, ISBN: 1107013429.
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[6] A. Kolesárová, R. Mesiar, On linear and quadratic constructions of aggregation functions, Fuzzy Sets Syst. 268 (2014) 1–14.
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[8] X. W. Liu, S. L. Han, Orness and parameterized RIM quantifier aggregation with OWA operators: A summary, Int. J. Approx. Reasoning 48 (2008) 77–97.
[9] J. M. Merigo, A. M. Gil-Lafuente, The induced generalized OWA operator, Inf. Sci. 179 (6) (2009) 729–741.
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[11] R. Mesiar, E. Pap, Aggregation of infinite sequences, Inf. Sci. 178 (2008) 3557–3564.
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Cite This Article
  • APA Style

    Cheng Zhu. (2016). Attitudinal Character Involved Educational Evaluation Models Under Different OWA Aggregation Operators. International Journal of Management and Fuzzy Systems, 2(1), 1-5. https://doi.org/10.11648/j.ijmfs.20160201.11

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    ACS Style

    Cheng Zhu. Attitudinal Character Involved Educational Evaluation Models Under Different OWA Aggregation Operators. Int. J. Manag. Fuzzy Syst. 2016, 2(1), 1-5. doi: 10.11648/j.ijmfs.20160201.11

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    AMA Style

    Cheng Zhu. Attitudinal Character Involved Educational Evaluation Models Under Different OWA Aggregation Operators. Int J Manag Fuzzy Syst. 2016;2(1):1-5. doi: 10.11648/j.ijmfs.20160201.11

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  • @article{10.11648/j.ijmfs.20160201.11,
      author = {Cheng Zhu},
      title = {Attitudinal Character Involved Educational Evaluation Models Under Different OWA Aggregation Operators},
      journal = {International Journal of Management and Fuzzy Systems},
      volume = {2},
      number = {1},
      pages = {1-5},
      doi = {10.11648/j.ijmfs.20160201.11},
      url = {https://doi.org/10.11648/j.ijmfs.20160201.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmfs.20160201.11},
      abstract = {OWA operators, introduced by Yager, are very important non linear aggregation functions in both academic studies and a myriad of applications. In this study, we use two dimensional OWA aggregation function into pedagogical evaluation practice, which will involve the preferences and experiences of decision makers and teachers. In addition, we also introduce a long time educational evaluation model based on Stancu OWA operators with two same parameters. The model involves time orness degree given by teachers and is useful for monitoring long time teaching and learning process in schools.},
     year = {2016}
    }
    

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    JO  - International Journal of Management and Fuzzy Systems
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    AB  - OWA operators, introduced by Yager, are very important non linear aggregation functions in both academic studies and a myriad of applications. In this study, we use two dimensional OWA aggregation function into pedagogical evaluation practice, which will involve the preferences and experiences of decision makers and teachers. In addition, we also introduce a long time educational evaluation model based on Stancu OWA operators with two same parameters. The model involves time orness degree given by teachers and is useful for monitoring long time teaching and learning process in schools.
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Author Information
  • School of Mathematical Science, Nanjing Normal University, Nanjing, China

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