Using fuzzy logic to implement decision policies in system dynamics models
| Autor: | Daniel Cardoso de Salles, Lino Guimarães Marujo, Armando Celestino Gonçalves Neto |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Balanced scorecard
Computer science Management science business.industry 05 social sciences General Engineering 02 engineering and technology Fuzzy control system Metaverse Fuzzy logic Computer Science Applications System dynamics Action (philosophy) Artificial Intelligence 0502 economics and business Organizational learning 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business 050203 business & management Natural language |
| Zdroj: | Expert Systems with Applications. 55:172-183 |
| ISSN: | 0957-4174 |
| DOI: | 10.1016/j.eswa.2016.01.048 |
| Popis: | A fuzzy logic-system dynamics methodology is proposed to enhance learning within virtual worlds.Theoretical discussion on the motivation and advantages of the integration.Case study applying the FL-SD methodology to a virtual world model of a Dynamic Balanced Scorecard. This paper aims to show how the use of fuzzy systems can enhance the application of system dynamics (SD), with the construction of virtual worlds, for organizational learning. By doing so, the main contribution is to propose a fuzzy-SD integrated methodology that allows a natural language modeling of decision policies. At first it will be revised the recent literature with practical and theoretical fuzzy-SD integration showing that the motivation and purpose of this article have not been explored yet. Following, it will be scrutinized the origin of system dynamics to theoretically justify the proposed fuzzy-SD integration for organizational learning. Finally, it will be presented a hypothetical case study based on the balance scorecard model to illustrate the methodology in action. |
| Databáze: | OpenAIRE |
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