This book provides smart city frameworks to address new difficulties by adding new features and allowing the city environment to react to collected data and information to increase the efficiency and sustainability of services for inhabitants.

Making a smart city is an emerging strategy to mitigate the problems generated by urban population growth and rapid urbanization. This book aims to provide a better understanding of the concept of smart cities and the application of an intelligent decision support system. Based on the analysis of existing information there are eight critical factors of smart city initiatives: management and organization, technology, governance, policy context, people and communities, economy, built infrastructure, and natural environment. This book will focus on the application of the decision support system in managing these eight crucial aspects of smart cities.

The intent in writing this book was also to provide a source that covers the stage-by-stage integration of the four key areas involving planning, physical infrastructure, ICT infrastructure, and deploying the smart solutions necessary for city transformation. With this as the motivation, "Decision Support Systems for Smart City Applications" provides the application of an intelligent decision support system for effectively and efficiently managing the transformation process, which can aid various supply chain stakeholders, academic researchers, and related professionals in building smart cities. Various chapters of this book are expected to support practicing managers during the implementation of smart solutions for city transformation.

Audience

This book is aimed at both academics and practitioners alike in the fields of intelligent computing, decision support systems, the manufacturing industry, supply chain managers, stakeholders, policymakers, and other technical and administrative personnel.

Frequently asked questions

Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.

At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.

Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.

We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.

Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.

Yes, you can access Intelligent Decision Support Systems for Smart City Applications by Loveleen Gaur,Vernika Agarwal,Prasenjit Chatterjee in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Wiley-Scrivener

Year

2022

ISBN

9781119896944

Edition

Topic

Computer Science

Subtopic

Artificial Intelligence (AI) & Semantics

Index

Computer Science

Cover
Title Page
Copyright Page
Dedication Page
Contents
Preface
Acknowledgement
Chapter 1 Techno Agri for New Cities by Smart Irrigation
Chapter 2 A Case Study of Command-and-Control Center—A DSS Perspective
Chapter 3 Inverse Tree Interleavers in UAV Communications for Interference Mitigation
Chapter 4 Introduction to DSS System for Smart Cities
Chapter 5 Evaluating Solutions to Overcome Blockchain Technology Implementation in Smart City Using a Hybrid Fuzzy SWARA-Fuzzy WASPAS Approach
Chapter 6 Identification and Analysis of Challenges and Their Solution in Implementation of Decision Support System (DSS) in Smart Cities
Chapter 7 Evaluation of Criteria for Implementation of Capabilities in a Smart City’s Service Supply Chain: A Teacher Trainer’s Perspective
Chapter 8 Industry 5.0: Coexistence of Humans and Machines
Chapter 9 Smart Child Safety Framework Using Internet of Things
Chapter 10 Water Content Prediction in Smart Agriculture of Rural India Using CNN and Transfer Learning Approach
Chapter 11 Cognitiveness of 5G Technology Toward Sustainable Development of Smart Cities
Chapter 12 Society 5.0 and Authenticity: Looking to the Future
Chapter 13 IoT-Based Smart City Applications: Infrastructure, Research and Development
Index
EULA