Development of adaptive environmental management system: A participatory approach through fuzzy cognitive maps
| Autor: | Muthoni Masinde, Mpho Mbele |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Value (ethics)
Sociology of scientific knowledge Knowledge management business.industry Computer science 05 social sciences Environmental pollution Usability 02 engineering and technology computer.software_genre Fuzzy cognitive map Participatory approach Pollution monitoring Adaptive system 0502 economics and business 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Data mining business computer 050203 business & management |
| Zdroj: | 2016 IST-Africa Week Conference. |
| DOI: | 10.1109/istafrica.2016.7530659 |
| Popis: | Mining industries develop environmental management systems/plans to mitigate the impact their operations has on the society. Even with these plans, there are still issues of pollution affecting the society. Though there are ICT-based pollution monitoring solutions, their use is dismal due to lack of appreciation or understanding of the disseminated information. This result in mining communities depending on their own local knowledge to observe, monitor and predict mining-related environmental pollution. However, this local knowledge has never been tested scientifically or analysed to recognize its usability or effectiveness. Mining companies tend to ignore this knowledge from the communities as it is treated like common information with no much scientific value. As a step towards verifying or validating this local knowledge, we demonstrate how fuzzy cognitive maps can be used to model, analyse and represent this linguistic local knowledge. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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