Commenced in January 2007
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Fuzzy Based Environmental System Approach for Impact Assessment - Case Studies

Authors: Marius Pislaru, Alexandru F. Trandabat


Environmental studies have expanded dramatically all over the world in the past few years. Nowadays businesses interact with society and the environment in ways that put their mark on both sides. Efforts improving human standard living, through the control of nature and the development of new products, have also resulted in contamination of the environment. Consequently companies play an important role in environmental sustainability of a region or country. Therefore we can say that a company's sustainable development is strictly dependent on the environment. This article presents a fuzzy model to evaluate a company's environmental impact. Article illustrates an example of the automotive industry in order to prove the usefulness of using such a model.

Keywords: fuzzy approach, environmental impact assessment, sustainability

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[1] Y.A. Phillis, V.S. Kouikoglou, Fuzzy Measurement of Sustainability, Nova Science Publishers, ,New York, 2009.
[2] H.Lee Kwang, First Course on Fuzzy Theory and Applications . Berlin, Springer-Verlag, 2005
[3] C.A.Pena Reyes, Coevolutionary Fuzzy Modeling Springer Verlag. 2004.
[4] Celikyilmaz A. and T├╝rksen I. B. , Modeling Uncertainty with Fuzzy Logic Springer-Verlag Berlin Heidelberg (2009).
[5] Y.A. Phillis, L.A. Andriantiatsaholiniaina, "Sustainability: an ill-defined concept and its assessment using fuzzy logic", Ecological Economics, ,vol. 37, pp.435-456, 2001.
[6] Pages/pitesti-dacia.aspx
[7] Annual Report- Registration Document, Renault, 2004-2010.
[8] S. N.Sivanandam, S. Sumathi and Deepa S. N. Introduction to Fuzzy Logic usingMATLAB Springer-Verlag ,Berlin Heidelberg 2007.
[9] Y.A. Phillis, Benjamin J.Davis "Assessment of Corporate Sustainability via Fuzzy Logic" J Intell Robot Syst, vol.55, pp. 3-20, 2008.
[10] M. Pislaru, A. Trandabat and S. Avasilcai, "Neuro-fuzzy model for environmental impact assessment" Environmental Engineering and Management Journal, vol.10, pp.381-386, 2010.