Abstract
The aim of the present paper is to develop an integrated method that provide assistance to decision makers during system planning, design, operation and evaluation. In order to support the realization of Circular Economy (CE) it is essential to evaluate local needs and conditions that help to select the most appropriate system-components and resources needed. Each of these activities requires careful planning, however, the model of CE offers a comprehensive interdisciplinary framework. The aim of this research was to develop and to introduce a practical methodology for evaluation of local and regional opportunities to promote CE.
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Acknowledgements
The authors would like to thank to EFOP-3.6.1-16-2016-00017 1 ‘Internationalisation, initiatives to establish a new source of researchers and graduates, and development of knowledge and technological transfer as instruments of intelligent specialisations at Széchenyi István University’ and EFOP-3.6.2-16-2017-00015 “HU- MATHS – IN – Intensification of the activity of the Hungarian Industrial Innovation Service Network’for the support of the research.
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Buruzs, A., Hatwágner, M.F., Kóczy, L.T. (2019). Reduced Model Investigations Supported by Fuzzy Cognitive Map to Foster Circular Economy. In: Cornejo, M., Kóczy, L., Medina, J., De Barros Ruano, A. (eds) Trends in Mathematics and Computational Intelligence. Studies in Computational Intelligence, vol 796. Springer, Cham. https://doi.org/10.1007/978-3-030-00485-9_22
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