An Experimental Evaluation of Integrated Dematal and Fuzzy Cognitive Maps for Cotton Yield Prediction

TLDR: Evaluation results of this study reveal that the integration of DEMATAL-FCM could be effective and as well accurate compared to existing approaches for evaluating cotton yield prediction.

Abstract: The main objective of this paper is to build a novel integrated fuzzy approach to find the influential factors as well as ranking of the factors related to the cotton yield with a fuzzy Decision Making Trial And Evaluation Laboratory (DEMATEL). Fuzzy Cognitive Maps (FCM) and its important elements has been used for assessment of cotton yield prediction. This paper proposed the interdependence of every factors on each other and how it directly or indirectly affects the cotton yield using hybrid DEMATAL and FCM. No previous studies have integrated FCM and DEMANTAL for the prediction of cotton yield. Furthermore, evaluation results of this study reveal that the integration of DEMATAL-FCM could be effective and as well accurate compared to existing approaches for evaluating cotton yield prediction.