Fuzzy rule‐based inference in system dynamics formulations-Reference-Cited by-同舟云学术

Fuzzy rule‐based inference in system dynamics formulations

Published:2019-10 Issue:4 Volume:35 Page:310-336
ISSN:0883-7066
Container-title:System Dynamics Review
language:en
Short-container-title:Syst. Dyn. Rev.

Author:

Sabounchi Nasim S.¹^ORCID,Triantis Konstantinos P.²,Kianmehr Hamed³,Sarangi Sudipta⁴

Affiliation:

1. Department of Health Policy and Management, Center for Systems and Community DesignCity University of New York (CUNY) Graduate School of Public Health and Health Policy 55 W. 125 Street, 7th Floor, New York New York 10027 U.S.A.

2. Grado Department of Industrial and Systems EngineeringVirginia Tech Falls Church Virginia 22043 U.S.A.

3. Department of Pharmaceutical Outcomes and PolicyCollege of Pharmacy, University of Florida, GainesvilleFlorida U.S.A.

4. Department of EconomicsVirginia Tech Blacksburg Virginia 24061 U.S.A.

Publisher

Wiley

Subject

Management of Technology and Innovation,Strategy and Management,Social Sciences (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sdr.1644

Reference43 articles.

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5. Applying fuzzy arithmetic to the system dynamics for the customer–producer–employment model

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