Optimization Based Model Using Fuzzy and Other Statistical Techniques Towards Environmental Sustainability

This book explores key examples concerning the implementation of information technology and mathematical modeling to solve issues concerning environmental sustainability. The examples include using fuzzy weighted multivariate regression to predict the water quality index at Perak River in Malaysia; using wireless sensor networks (WSNs) for a remote river water pollution monitoring system; deriving biomass activated carbon from oil palm shell; and assessing the performance of a PV/T air solar collector. The book offers a valuable resource for all graduate students and researchers who are working in this rapidly growing area.

Presents key examples of how mathematical modeling can be used to solve issues concerning environmental sustainability Includes a case study on using fuzzy weighted multivariate regression to predict the water quality index at Perak River in Malaysia Demonstrates a predictive model for a more efficient solar panel to produce renewable energy for housing use in Malaysia and Indonesia

Inhalt
A New Fuzzy Weighted Multivariate Regression to Predict Water Quality Index at Perak Rivers.- Smart Sensor Node of Wireless Sensor Networks (WSNs) for Remote River Water Pollution Monitoring System.- Toward Formalization of Comprehensive Bilingual Dictionaries Creation Planning as Constraint Optimization Problem.- Biomass Activated Carbon from Oil Palm Shell as Potential Material to Control Filtration Loss in Water-Based Drilling Fluid.- Experimental Study of PV/T Air Solar Collector and Generation of Fuzzy Membership Function.