Abstract – The Integrated Intelligent Decision-Making and Information Discovery (IIDI) system was created for data management command and control (C2) systems. This paper focuses on one IIDI technique, grid fuzzy neural networks (GFNNs), which can learn and support decision making, and information/knowledge discovery. The IIDI GFNNs were developed, trained, and tested on real sample datasets to...

In today's highly competitive intellectual environments which force top management to constantly looking for better improvement and making the best decisions in shortest possible time and within limited resources. Managers in manufacturing companies need to have strong capability of adaptation mainly because of the dynamic relationships that must be established between manufacturing units. To a...

Energy is a critical factor to obtain a sustainable development for countries and governments. Selection of the most appropriate energy alternative is a completely critical and a complex decision making problem. In this paper, an integrated multi-criteria decision-making (MCDM) methodology based on type-2 fuzzy sets is proposed for selection among energy alternatives. Then a roadmap has been cr...