| Title |
Reduced Model Investigations Supported by Fuzzy Cognitive Map to Foster Circular Economy |
| ID_Doc |
1859 |
| Authors |
Buruzs, A; Hatwágner, MF; Kóczy, LT |
| Title |
Reduced Model Investigations Supported by Fuzzy Cognitive Map to Foster Circular Economy |
| Year |
2019 |
| Published |
|
| DOI |
10.1007/978-3-030-00485-9_22 |
| 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. |
| Author Keywords |
Factors; Fuzzy cognitive map; Model reduction; Circular economy; Sustainability |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000684112300022 |
| WoS Category |
Computer Science, Artificial Intelligence; Mathematics, Applied |
| Research Area |
Computer Science; Mathematics |
| PDF |
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