The purpose of this present study is to find a scientific method for the evaluation of environmental impacts according to the requirement 4.3.1.
To realize the objectives, the authors worked with a representative sample from certified ISO 14001 organizations. The data aim to identify and evaluate (according to the organization's methodology) significant environmental impacts. In this study, the authors created two models for the evaluation of environmental impacts based on an artificial neural network applied in the pilot organization and compared the results obtained from these models with those obtained by applying an analytic hierarchy process (AHP) method. AHP is part of an multi‐criteria decision making method and provides good multi‐criteria support for decision making for problems that can be structured hierarchically.
This paper presents a new approach that uses a backpropagation neural network to evaluate environmental impacts regardless of the organization type.
This paper presents a unique approach for the reliable and objective evaluation of environmental impacts.
Jovanovic, J., Krivokapic, Z. and Vujovic, A. (2013), "Evaluation of environmental impacts using backpropagation neural network", Kybernetes, Vol. 42 No. 5, pp. 698-710. https://doi.org/10.1108/K-03-2013-0055Download as .RIS
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