Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model
This book addresses the prediction of the Water Quality Index (WQI) at Perak River, State of Perak, Malaysia, using a fuzzy multiple linear regression model to tackle the uncertainty in the measurements of six key parameters – dissolved oxygen (DO), biolo
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Samsul Ariffin Abdul Karim Nur Fatonah Kamsani
Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model Case Study in Perak River, Malaysia 123
SpringerBriefs in Water Science and Technology
SpringerBriefs in Water Science and Technology present concise summaries of cutting-edge research and practical applications. The series focuses on interdisciplinary research bridging between science, engineering applications and management aspects of water. Featuring compact volumes of 50 to 125 pages (approx. 20,000– 70,000 words), the series covers a wide range of content from professional to academic such as: • • • • •
Timely reports of state-of-the art analytical techniques Literature reviews In-depth case studies Bridges between new research results Snapshots of hot and/or emerging topics
Topics covered are for example the movement, distribution and quality of freshwater; water resources; the quality and pollution of water and its influence on health; and the water industry including drinking water, wastewater, and desalination services and technologies. Both solicited and unsolicited manuscripts are considered for publication in this series.
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Samsul Ariffin Abdul Karim Nur Fatonah Kamsani
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Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model Case Study in Perak River, Malaysia
123
Samsul Ariffin Abdul Karim Fundamental and Applied Sciences Department and Centre for Smart Grid Energy Research (CSMER) Institute of Autonomous System Universiti Teknologi PETRONAS Seri Iskandar, Perak, Malaysia
Nur Fatonah Kamsani Fundamental and Applied Sciences Department Universiti Teknologi PETRONAS Seri Iskandar, Perak, Malaysia
ISSN 2194-7244 ISSN 2194-7252 (electronic) SpringerBriefs in Water Science and Technology ISBN 978-981-15-3484-3 ISBN 978-981-15-3485-0 (eBook) https://doi.org/10.1007/978-981-15-3485-0 © The Author(s), under exclusive licence 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
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