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Multiple Attribute Comprehensive Evaluation Method Based on Interval Number Aggregation Operators

Received: 26 April 2018     Published: 27 April 2018
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Abstract

The concept of position weight is put forward based on the varied position of different attribute value in the overall distribution of attribute value with the same attribute in multiple attribute and comprehensive assessment issues. What’s more, the calculation method of position weight is given and the interval numbers ordered weighted averaging (INOWA) is defined. A comprehensive evaluation method based on position weight of attribute value is put forward. Finally, case study shows that the method is feasible and effective.

Published in American Journal of Applied Mathematics (Volume 6, Issue 2)
DOI 10.11648/j.ajam.20180602.13
Page(s) 42-47
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), 2018. Published by Science Publishing Group

Keywords

Multiple Attribute Decision Making (MADM), Aggregation Operators, Falling Shadows Method, Position Weight

References
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Cite This Article
  • APA Style

    Zhang Bing-Jiang. (2018). Multiple Attribute Comprehensive Evaluation Method Based on Interval Number Aggregation Operators. American Journal of Applied Mathematics, 6(2), 42-47. https://doi.org/10.11648/j.ajam.20180602.13

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    ACS Style

    Zhang Bing-Jiang. Multiple Attribute Comprehensive Evaluation Method Based on Interval Number Aggregation Operators. Am. J. Appl. Math. 2018, 6(2), 42-47. doi: 10.11648/j.ajam.20180602.13

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    AMA Style

    Zhang Bing-Jiang. Multiple Attribute Comprehensive Evaluation Method Based on Interval Number Aggregation Operators. Am J Appl Math. 2018;6(2):42-47. doi: 10.11648/j.ajam.20180602.13

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  • @article{10.11648/j.ajam.20180602.13,
      author = {Zhang Bing-Jiang},
      title = {Multiple Attribute Comprehensive Evaluation Method Based on Interval Number Aggregation Operators},
      journal = {American Journal of Applied Mathematics},
      volume = {6},
      number = {2},
      pages = {42-47},
      doi = {10.11648/j.ajam.20180602.13},
      url = {https://doi.org/10.11648/j.ajam.20180602.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajam.20180602.13},
      abstract = {The concept of position weight is put forward based on the varied position of different attribute value in the overall distribution of attribute value with the same attribute in multiple attribute and comprehensive assessment issues. What’s more, the calculation method of position weight is given and the interval numbers ordered weighted averaging (INOWA) is defined. A comprehensive evaluation method based on position weight of attribute value is put forward. Finally, case study shows that the method is feasible and effective.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - Multiple Attribute Comprehensive Evaluation Method Based on Interval Number Aggregation Operators
    AU  - Zhang Bing-Jiang
    Y1  - 2018/04/27
    PY  - 2018
    N1  - https://doi.org/10.11648/j.ajam.20180602.13
    DO  - 10.11648/j.ajam.20180602.13
    T2  - American Journal of Applied Mathematics
    JF  - American Journal of Applied Mathematics
    JO  - American Journal of Applied Mathematics
    SP  - 42
    EP  - 47
    PB  - Science Publishing Group
    SN  - 2330-006X
    UR  - https://doi.org/10.11648/j.ajam.20180602.13
    AB  - The concept of position weight is put forward based on the varied position of different attribute value in the overall distribution of attribute value with the same attribute in multiple attribute and comprehensive assessment issues. What’s more, the calculation method of position weight is given and the interval numbers ordered weighted averaging (INOWA) is defined. A comprehensive evaluation method based on position weight of attribute value is put forward. Finally, case study shows that the method is feasible and effective.
    VL  - 6
    IS  - 2
    ER  - 

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Author Information
  • School of Applied Science, Beijing Information Science and Technology University, Beijing, China

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