IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v171y2021ics0040162521003802.html
   My bibliography  Save this article

A study of dynamic fuzzy cognitive map model with group consensus based on linguistic variables

Author

Listed:
  • Chen, Chen-Tung
  • Chiu, Yen-Ting

Abstract

A fuzzy cognitive map (FCM) is an analysis tool that uses a graph structure to show the causal relationships of influence factors in a decision-making system. During the decision-making process, it is reasonable for experts to use linguistic variables to express their subjective opinions. However, few studies have discussed methods for aggregating the linguistic opinions of experts to reach a group consensus in FCM. In addition, the interaction weights among the factors in FCM will usually change over time in a real environment. Therefore, we applied the learning algorithm to adjust the interaction weights among the factors in the steps of FCM, after which we proposed a dynamic fuzzy cognitive map model with group consensus based on the linguistic evaluations in this study. Finally, we presented a case study using the proposed model to illustrate the development possibility of the Internet of Things (IoT) industry in Taiwan. According to the analysis results, we found that the development prospects for the IoT industry in Taiwan are optimistic. The four key factors for IoT industry development were found to be the degree of authorization and trust, the development of application technologies, the complexity of systems and equipment and cross-platform possibility.

Suggested Citation

  • Chen, Chen-Tung & Chiu, Yen-Ting, 2021. "A study of dynamic fuzzy cognitive map model with group consensus based on linguistic variables," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    • Handle: RePEc:eee:tefoso:v:171:y:2021:i:c:s0040162521003802
    DOI: 10.1016/j.techfore.2021.120948
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162521003802
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2021.120948?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sterman, J.D., 2006. "Learning from evidence in a complex world," American Journal of Public Health, American Public Health Association, vol. 96(3), pages 505-514.
    2. Pappas, Nikolaos & Caputo, Andrea & Pellegrini, Massimiliano Matteo & Marzi, Giacomo & Michopoulou, Eleni, 2021. "The complexity of decision-making processes and IoT adoption in accommodation SMEs," Journal of Business Research, Elsevier, vol. 131(C), pages 573-583.
    3. Maritza Satama & Eva Iglesias, 2020. "Fuzzy Cognitive Map Clustering to Assess Local Knowledge of Ecosystem Conservation in Ecuador," Sustainability, MDPI, vol. 12(6), pages 1-26, March.
    4. Amirkhani, Abdollah & Papageorgiou, Elpiniki I. & Mosavi, Mohammad R. & Mohammadi, Karim, 2018. "A novel medical decision support system based on fuzzy cognitive maps enhanced by intuitive and learning capabilities for modeling uncertainty," Applied Mathematics and Computation, Elsevier, vol. 337(C), pages 562-582.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yousefi, Samuel & Mohamadpour Tosarkani, Babak, 2022. "An analytical approach for evaluating the impact of blockchain technology on sustainable supply chain performance," International Journal of Production Economics, Elsevier, vol. 246(C).
    2. Kunruthai Meechang & Kenji Watanabe, 2023. "Modeling to Achieve Area Business Continuity Management Implementation via a Fuzzy Cognitive Map," Sustainability, MDPI, vol. 15(18), pages 1-22, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sridharan, Sanjeev & Jones, Bobby & Caudill, Barry & Nakaima, April, 2016. "Steps towards incorporating heterogeneities into program theory: A case study of a data-driven approach," Evaluation and Program Planning, Elsevier, vol. 58(C), pages 88-97.
    2. Wenjing Luo & Zhi Qiu & Yurika Yokoyama & Shengyuan Zheng, 2022. "Decision-Making Mechanism of Joint Activities for the Elderly and Children in Integrated Welfare Facilities: A Discussion Based on “Motivation–Constraint” Interaction Model," IJERPH, MDPI, vol. 19(16), pages 1-23, August.
    3. Kimberly M. Thompson & Radboud J. Duintjer Tebbens, 2006. "Retrospective Cost‐Effectiveness Analyses for Polio Vaccination in the United States," Risk Analysis, John Wiley & Sons, vol. 26(6), pages 1423-1440, December.
    4. Regina Veckalne & Tatjana Tambovceva, 2022. "The Role of Digital Transformation in Education in Promoting Sustainable Development," Virtual Economics, The London Academy of Science and Business, vol. 5(4), pages 65-86, December.
    5. repec:mpr:mprres:6558 is not listed on IDEAS
    6. Louise Freebairn & Jo-An Atkinson & Nathaniel D Osgood & Paul M Kelly & Geoff McDonnell & Lucie Rychetnik, 2019. "Turning conceptual systems maps into dynamic simulation models: An Australian case study for diabetes in pregnancy," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-27, June.
    7. Marzi, Giacomo & Fakhar Manesh, Mohammad & Caputo, Andrea & Pellegrini, Massimiliano Matteo & Vlačić, Božidar, 2023. "Do or do not. Cognitive configurations affecting open innovation adoption in SMEs," Technovation, Elsevier, vol. 119(C).
    8. Margaret Hargreaves & Diane Paulsell, 2009. "Evaluating Systems Change Efforts to Support Evidence-Based Home Visiting: Concepts and Methods," Mathematica Policy Research Reports c24fc47e9c744b52a00e2137c, Mathematica Policy Research.
    9. Yang, Y. & Lin, J. & Liu, G. & Zhou, L., 2021. "The behavioural causes of bullwhip effect in supply chains: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 236(C).
    10. Brice Dattée & James Barlow, 2017. "Multilevel Organizational Adaptation: Scale Invariance in the Scottish Healthcare System," Organization Science, INFORMS, vol. 28(2), pages 301-319, April.
    11. van Ackere, Ann & Schulz, Peter J., 2020. "Explaining vaccination decisions: A system dynamics model of the interaction between epidemiological and behavioural factors," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    12. Kwamina Ewur Banson & Daniel Kwasi Asare & Fidelis Doodaa Dery & Kwadwo Boakye & Akudugu Boniface & Moses Asamoah & Lourees Esi Awotwe, 2020. "Impact of Fall Armyworm on Farmer’s Maize: Systemic Approach," Systemic Practice and Action Research, Springer, vol. 33(2), pages 237-264, April.
    13. Hassmiller Lich, Kristen & Urban, Jennifer Brown & Frerichs, Leah & Dave, Gaurav, 2017. "Extending systems thinking in planning and evaluation using group concept mapping and system dynamics to tackle complex problems," Evaluation and Program Planning, Elsevier, vol. 60(C), pages 254-264.
    14. Yuya Kajikawa, 2022. "Reframing evidence in evidence-based policy making and role of bibliometrics: toward transdisciplinary scientometric research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5571-5585, September.
    15. Miles M. Yang & Hong Jiang & Michael Shayne Gary, 2016. "Challenging learning goals improve performance in dynamically complex microworld simulations," System Dynamics Review, System Dynamics Society, vol. 32(3-4), pages 204-232, July.
    16. Boelsen-Robinson, Tara & Blake, Miranda R. & Brown, Andrew D. & Huse, Oliver & Palermo, Claire & George, Neetu A. & Peeters, Anna, 2021. "Mapping factors associated with a successful shift towards healthier food retail in community-based organisations: A systems approach," Food Policy, Elsevier, vol. 101(C).
    17. Brynle Owen & Andrew D Brown & Jill Kuhlberg & Lynne Millar & Melanie Nichols & Christina Economos & Steven Allender, 2018. "Understanding a successful obesity prevention initiative in children under 5 from a systems perspective," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-10, March.
    18. Negar Darabi & Niyousha Hosseinichimeh, 2020. "System dynamics modeling in health and medicine: a systematic literature review," System Dynamics Review, System Dynamics Society, vol. 36(1), pages 29-73, January.
    19. Oosterbroek, Bram & de Kraker, Joop & Huynen, Maud M.T.E. & Martens, Pim, 2016. "Assessing ecosystem impacts on health: A tool review," Ecosystem Services, Elsevier, vol. 17(C), pages 237-254.
    20. Jang, Hyunmi & Haddoud, Mohamed Yacine & Roh, Saeyeon & Onjewu, Adah-Kole Emmanuel & Choi, Taeeun, 2023. "Implementing smart factory: A fuzzy-set analysis to uncover successful paths," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    21. Watinee Kunpeuk & Pard Teekasap & Hathairat Kosiyaporn & Sataporn Julchoo & Mathudara Phaiyarom & Pigunkaew Sinam & Nareerut Pudpong & Rapeepong Suphanchaimat, 2020. "Understanding the Problem of Access to Public Health Insurance Schemes among Cross-Border Migrants in Thailand through Systems Thinking," IJERPH, MDPI, vol. 17(14), pages 1-19, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:171:y:2021:i:c:s0040162521003802. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.