Using fuzzy logic and neural networks to classify socially responsible organisations

Author： Escrig-Olmedo Elena   Fernández-Izquierdo M. Ángeles   Ferrero-Ferrero Idoya   León-Soriano Raúl   Muñoz-Torres M. Jesús   Rivera-Lirio Juana M.  

Publisher： Routledge Ltd

ISSN： 1360-0559

Source： Journal of Environmental Planning and Management, Vol.56, Iss.2, 2013-03, pp. : 238-253

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Monitoring of Anoxic/Oxic Process for Nitrogen and Chemical Oxygen Demand Removal Using Fuzzy Neural Networks

By Huang Mingzhi   Wan Jinquan   Ma Yongwen  

Water Environment Research, Vol. 81, Iss. 7, 2009-07 ,pp. : 654-663

Water Environment Federation

Access to resources Recommend Favorite

Fuzzy Logic and Artificial Neural Network approaches for dissolved oxygen prediction

By Girija T.R.   Mahanta C.  

International Journal of Environment and Waste Management, Vol. 6, Iss. 3-4, 2010-09 ,pp. : 237-254

Inderscience Publishers

Access to resources Recommend Favorite

AUDIT AND RISK RANKING USING FUZZY LOGIC

By Bates Wayne E.   Davis Robert J.  

Proceedings of the Water Environment Federation, Vol. 2000, Iss. 5, 2000-01 ,pp. : 592-605

Water Environment Federation

Access to resources Recommend Favorite

The effectiveness of socially responsible investment: a review

By Wagemans Frank A.J.   Koppen C.S.A. (Kris) van   Mol Arthur P.J.  

Journal of Integrative Environmental Sciences, Vol. 10, Iss. 3-4, 2013-12 ,pp. : 235-252

Taylor & Francis Ltd

Access to resources Recommend Favorite

Socially Responsible Green Marketing in Architecture

By  

The International Journal of Sustainability Policy and Practice, Vol. 8, Iss. 1, 2013-01 ,pp. : 259-278

Common Ground Publishing

Access to resources Recommend Favorite