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International Conference on Brain and Health Informatics

BHI 2013: Brain and Health Informatics pp 316–323Cite as

Fuzzy Linguistic Preference Relations Approach: Evaluation in Quality of Healthcare

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8211))

Abstract

This study proposes a linguistic preference relations approach to evaluate the quality of healthcare under a fuzzy environment. Pairwise comparisons are utilized to derive the importance weights of evaluation criteria and to obtain the performance rating of feasible healthcare organizations. The subjectivity and vagueness in the evaluation processes are dealt with linguistic variables parameterized by triangular fuzzy numbers. By calculating the distance of each feasible healthcare organization to the fuzzy positive ideal reference point (FPIRP) and the fuzzy negative ideal reference point (FNIRP) respectively, a closeness coefficient is obtained and utilized to rank the order of all feasible healthcare organizations. A case is simultaneously shown to demonstrate the computational procedures of this proposed approach.

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Author information

Authors and Affiliations

  1. Department of Applied Foreign Languages, Kao-Yuan University, 1821, Jhongshan Road, Lujhu District, Kaohsiung City, 821, Taiwan

    Pei-Jung Yang

  2. Department of Information Management, Kao-Yuan University, 1821, Jhongshan Road, Lujhu District, Kaohsiung City, 821, Taiwan

    Tsung-Han Chang

Authors
  1. Pei-Jung Yang
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  2. Tsung-Han Chang
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Editor information

Editors and Affiliations

  1. Department of Systems Life Engineering, Maebashi Institute of Technology, 460-1 Kamisadori-cho, 371-0816, Maebashi, Gunma, Japan

    Kazayuki Imamura

  2. Electronics-Inspired Interdisciplinary Research Institute, Toyohashi University of Technology, 1-1 Hibarigaoka Tenpaku-cho, 441-8580, Toyohashi, Aichi, Japan

    Shiro Usui

  3. Department of Neurobiology and Behavior, Gunma University Graduate School of Medicine, 39-22 Showamachi 3-chome, 371-8511, Maebashi, Gunma, Japan

    Tomoaki Shirao

  4. The Smith Kettlewell Eye Research Institute, 2318 Fillmore Street, 94115, San Francisco, CA, USA

    Takuji Kasamatsu

  5. University of Rostock, 18051, Rostock, Germany

    Lars Schwabe

  6. Department of Life Science and Informatics, Maebashi Institute of Technology, 460-1 Kamisadori-cho, 371-0816, Maebashi, Gunma, Japan

    Ning Zhong

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© 2013 Springer International Publishing Switzerland

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Cite this paper

Yang, PJ., Chang, TH. (2013). Fuzzy Linguistic Preference Relations Approach: Evaluation in Quality of Healthcare. In: Imamura, K., Usui, S., Shirao, T., Kasamatsu, T., Schwabe, L., Zhong, N. (eds) Brain and Health Informatics. BHI 2013. Lecture Notes in Computer Science(), vol 8211. Springer, Cham. https://doi.org/10.1007/978-3-319-02753-1_32

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  • DOI: https://doi.org/10.1007/978-3-319-02753-1_32

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02752-4

  • Online ISBN: 978-3-319-02753-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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