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 wat
- PDF / 4,237,090 Bytes
- 88 Pages / 439.371 x 666.143 pts Page_size
- 46 Downloads / 176 Views
Optimization Based Model Using Fuzzy and Other Statistical Techniques Towards Environmental Sustainability
Optimization Based Model Using Fuzzy and Other Statistical Techniques Towards Environmental Sustainability
Samsul Ariffin Abdul Karim Evizal Abdul Kadir Arbi Haza Nasution •
•
Editors
Optimization Based Model Using Fuzzy and Other Statistical Techniques Towards Environmental Sustainability
123
Editors Samsul Ariffin Abdul Karim Department of Fundamental and Applied Sciences Universiti Teknologi PETRONAS Seri Iskandar, Perak, Malaysia
Evizal Abdul Kadir LPPM Universitas Islam Riau Pekanbaru, Riau, Indonesia
Arbi Haza Nasution LPPM Universitas Islam Riau Pekanbaru, Riau, Indonesia
ISBN 978-981-15-2654-1 ISBN 978-981-15-2655-8 https://doi.org/10.1007/978-981-15-2655-8
(eBook)
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Preface
Universiti Teknologi PETRONAS (UTP), Malaysia and Universitas Islam Riau (UIR), Indonesia, started a joint research program through International Collaborative Research Funding (ICRF) in 2019. This book includes five chapters that summarize some researches of that program which are related to the implementation of information technology and mathematical modelling in solving real-life problems faced by both countries. The results of these researches will benefit both universities and both countries. Chapter 1 discusses a new fuzzy weighted multivariate regression to predict water quality index at Perak rivers in Malaysia. The model is in line with the National Water Quality Standards for Malaysia. It also has great potenti
Data Loading...
