Scholarly record
FUZZY LOGIC- A PRACTICAL TOOL FOR MONITORING URBAN AREAS ENVIRONMENTAL PERFORMANCE
Abstract
In the past decades, cities have become the engines of national economic growth. Globalization has a significant effect on urban areas, forcing them to compete for international business with other cities around the world and their countries. It is estimated that by 2050, more than 80% of the worldпїЅs population will live in urban areas. In order to meet the environmental challenges posed by this changes, cities will need to reduce pollution levels and use resources more efficiently. It will need reliable tools to measure their environmental performance. A fuzzy logic based model is presented in the paper in order to assess urban environmental performance. The model relies on three components that describe the environment (air, water, soil). In turn, they are composed of other specific parameters. The model can be used as a tool to evaluate and measure from a certain point of view environmental performance of an urban area city.
Publication Impact Profile
Publication details
References7
Celikyilmaz A., Türksen I. B. Modeling Uncertainty with Fuzzy Logic: With Recent Theory and Applications, Studies in Fuzziness and Soft Computing, Germany, 2009, pp 149-215;
Phillis Y.A., Kouikoglou V.S., Fuzzy Measurement of Sustainability, U.S.A, 2009 Nova Science Publishers, ,New York, 2009.
Spangenberg, J.H., Bonniot O., Sustainability Indicators: A Compass on the Road Towards Sustainability, Wuppertal Institut fur Klima, Umwelt, Energie, Germany, 1998.
Phillis Y.A., Andriantiatsaholiniaina L.A., Sustainability: an ill-defined concept and its assessment using fuzzy logic, Ecological Economics, vol. 37, 2001,pp.435-456.
Phillis Y.A., Benjamin J.D., Assessment of Corporate Sustainability via Fuzzy Logic, J Intell Robot Syst, USA, vol. 55, 2008, pp 3-20;
http://ec.europa.eu/environment/integration/research/newsalert/pdf/indicators_for_su stainable_cities_IR12_en.pdf
Pislaru M., S. Avasilcai, Trandabat A. ,Environmental sustainability based on fuzzy models, Environmental Engineering and Management Journal, vol.7, pp. 25-29, 2008.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.
