Editors:
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
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (5 chapters)
-
Front Matter
-
Back Matter
About this book
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.
Editors and Affiliations
-
Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia
Samsul Ariffin Abdul Karim
-
LPPM, Universitas Islam Riau, Pekanbaru, Indonesia
Evizal Abdul Kadir, Arbi Haza Nasution
Bibliographic Information
Book Title: Optimization Based Model Using Fuzzy and Other Statistical Techniques Towards Environmental Sustainability
Editors: Samsul Ariffin Abdul Karim, Evizal Abdul Kadir, Arbi Haza Nasution
DOI: https://doi.org/10.1007/978-981-15-2655-8
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020
Softcover ISBN: 978-981-15-2654-1Published: 28 February 2020
eBook ISBN: 978-981-15-2655-8Published: 27 February 2020
Edition Number: 1
Number of Pages: X, 81
Number of Illustrations: 13 b/w illustrations, 35 illustrations in colour
Topics: Computational Intelligence, Optimization, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences