It is necessary to model and manage uncertainties efficiently and effectively in solving decision-making problems. Fuzzy reasoning and logic offers a natural means of handling uncertainty. This paper discus.'ses the development of an architecture that utilizes the advantages of fuzzy logic and neural networks that can be used in decision-making. The present paper outlines the reasons that motivate development of models that integrate fuzzy logic and neural networks. This discussion is followed by a brief overview of fuzzy logic and its concepts that are essential in understanding the application presented in the paper. The paper then describes the classification procedure used by the model, which is followed by its application to the decision making problem in construction modularization.
Murtaza, Mirza B. and Gupta, Vipul K.
"A neural network driven fuzzy system approach to decision making,"
Journal of International Information Management: Vol. 3
, Article 9.
Available at: https://scholarworks.lib.csusb.edu/jiim/vol3/iss3/9