A type II fuzzy system is refined by a reinforcement learning scheme in this paper. By tuning the parameters of the type II fuzzy controller, we demonstrate that reinforcement learning can help to achieve good performance. Results from the pole-balancing problem are given with comparisons of different fuzzy control schemes. It is shown that the learned type II fuzzy controller can achieve goals...

Application of Data Envelopment Analysis (DEA) as a Multicriterion Decision Making (MCDM) methodology is tested for Sri Ram Sagar Project, Andhra Pradesh, India to select the suitable irrigation planning alternative. Three different criterion functions of DEA, namely minimizing deviation variable D j (Min D j ), minimizing maximum deviation (Minmax), and minimizing the sum of deviations ∑ D j (...

As the offshoring becomes more widespread, business practitioners outsource their activities to overseas countries. Although there is a wealth of academic literature examining outsourcing and offshoring, there is little literature that addresses the current outsourcing decision most firms facing, which is where to outsource. Given multi-attribute nature of offshore location selection, this pape...

A wireless body area network (WBAN) is made up of small health-monitoring sensors that are implanted or placed on the human body. These collect and transmit medical physiological data . WBANs linked to servers observe health patients. Because its ability continuously remotely monitor patients' health, this type can save critical patients.WBAN being used establish communication links between the...

Abstract This work looks at developing an object-driven decision support system (DSS) model with the goal of improving prediction accuracy present expert-driven DSS in assessing groundwater potentiality. The database remote sensing, geological, and geophysical information was constructed using technological efficiency GIS, data mining, programming tools. Groundwater potential conditioning facto...

Three methods have previously been presented in Computer and Industrial Engineering for the selection of a statistical distribution to describe a data-set: the weighted sum model, the weighted multiplication model and data envelopment analysis. These are based on distinctive preset of parameters and result in three different rankings. In these approaches there is no interaction with the decisio...