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Fuzzy Logic in Its 50th Year pp 257–281Cite as

Health Service Network Design Under Epistemic Uncertainty

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 341))

Abstract

If a health system wants to achieve its strategic goal known as “reducing health inequalities”, making health services available and accessible to all people is an essential prerequisite. Health service network design (HSND) is known as one of the most critical strategic decisions that affects performance of health systems to the great extent. Important decisions such as location of health service providers (i.e. clinics, hospitals, etc.), allocation of patient zones to health service providers and optimal designing of patients flow via the network are some of the main strategic and tactical decisions that should be made when configuring a health service network. On the other hand, coping with uncertainty in data is an inseparable part of strategic and tactical problems. More specifically, the complex structure of health service networks alongside the volatile environment surrounding the health systems would impose a higher degree of uncertainty to the decision makers and health network designers. Among different methods to cope with uncertainty, possibilistic programming approaches are well-applied methods that can handle epistemic uncertainty in parameters.

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Author information

Authors and Affiliations

  1. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

    Mohammad Mousazadeh & S. Ali Torabi

  2. School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

    Mir Saman Pishvaee

Authors
  1. Mohammad Mousazadeh
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  2. S. Ali Torabi
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  3. Mir Saman Pishvaee
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Corresponding author

Correspondence to S. Ali Torabi .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. School of Industrial Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands

    Uzay Kaymak

  3. Department of Computer Engineering, Middle East Technical University (M, Ankara, Turkey

    Adnan Yazici

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Mousazadeh, M., Torabi, S.A., Pishvaee, M.S. (2016). Health Service Network Design Under Epistemic Uncertainty. In: Kahraman, C., Kaymak, U., Yazici, A. (eds) Fuzzy Logic in Its 50th Year. Studies in Fuzziness and Soft Computing, vol 341. Springer, Cham. https://doi.org/10.1007/978-3-319-31093-0_12

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  • DOI: https://doi.org/10.1007/978-3-319-31093-0_12

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