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Structured Element of Intuitionistic Fuzzy Multiattribute Decision-Making Applied in the Evaluation of Digital Library in Universities

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Fuzzy Information and Engineering 2010

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 78))

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Abstract

Evaluation of digital library is an essential process in the library development. However, the digital library is a complex system, which needs a lot of indices included in the evaluation. Up to now, there is still no scientific and rational comprehensive evaluation method developed, which become the urgent problem in the digital library evaluation. In this paper, a novel evaluation method is put forward based on the structured element of intuitionistic fuzzy multi-attribute decision-making, which can comprehensively assess the indices such as holdings, techniques, service and management. This method may promote the discovery of essential factors and their relationship, and benefit the improvement in every aspect to serve the readers better.

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Author information

Authors and Affiliations

  1. Library of Wenzhou Medical College, Wenzhou, Zhengjiang, 325035, P.R. China

    Jinhui Hu, Xichun Zhang, Yi Chen & Caichun Wang

Authors
  1. Jinhui Hu
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  2. Xichun Zhang
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  3. Yi Chen
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  4. Caichun Wang
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Editor information

Editors and Affiliations

  1. School of Mathematics and Information Science Guangzhou Higher Education Mega Center , Guangzhou University, 230Wai Huan Xi Road, ZIP 510006, Guangdong, China

    Bing-yuan Cao

  2. Shaanxi Normal University, China

    Guo-jun Wang

  3. Institute of Mathematics and Systems Science, Liaoning Technical University , 123000, China

    Si-zong Guo

  4. School of Science, Jimei University , 361021, Xiamen, Fujian, China

    Shui-li Chen

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© 2010 Springer-Verlag Berlin Heidelberg

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Hu, J., Zhang, X., Chen, Y., Wang, C. (2010). Structured Element of Intuitionistic Fuzzy Multiattribute Decision-Making Applied in the Evaluation of Digital Library in Universities. In: Cao, By., Wang, Gj., Guo, Sz., Chen, Sl. (eds) Fuzzy Information and Engineering 2010. Advances in Intelligent and Soft Computing, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14880-4_43

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  • DOI: https://doi.org/10.1007/978-3-642-14880-4_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14879-8

  • Online ISBN: 978-3-642-14880-4

  • eBook Packages: EngineeringEngineering (R0)

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