Intelligent Decision Support Systems for Sustainable Computing
Title | Intelligent Decision Support Systems for Sustainable Computing PDF eBook |
Author | Arun Kumar Sangaiah |
Publisher | Springer |
Pages | 296 |
Release | 2017-03-14 |
Genre | Technology & Engineering |
ISBN | 3319531530 |
This unique book dicusses the latest research, innovative ideas, challenges and computational intelligence (CI) solutions in sustainable computing. It presents novel, in-depth fundamental research on achieving a sustainable lifestyle for society, either from a methodological or from an application perspective. Sustainable computing has expanded to become a significant research area covering the fields of computer science and engineering, electrical engineering and other engineering disciplines, and there has been an increase in the amount of literature on aspects sustainable computing such as energy efficiency and natural resources conservation that emphasizes the role of ICT (information and communications technology) in achieving system design and operation objectives. The energy impact/design of more efficient IT infrastructures is a key challenge in realizing new computing paradigms. The book explores the uses of computational intelligence (CI) techniques for intelligent decision support that can be exploited to create effectual computing systems, and addresses sustainability problems in computing and information processing environments and technologies at the different levels of CI paradigms. An excellent guide to surveying the state of the art in computational intelligence applied to challenging real-world problems in sustainable computing, it is intended for scientists, practitioners, researchers and academicians dealing with the new challenges and advances in area.
Decision Support Systems for Sustainable Computing
Title | Decision Support Systems for Sustainable Computing PDF eBook |
Author | Muhammet Deveci |
Publisher | Elsevier |
Pages | 286 |
Release | 2024-06-03 |
Genre | Computers |
ISBN | 0443235988 |
Decision Support Systems for Sustainable Computing investigates recent technological advances in decision support systems models designed to solve real world applications. The book provides a broad overview of digital technology transformation as applied to the circular economy which is seeking to drive improvements in scientific research, communication, logistics, automation, production, and the improved sustainability of these processes and products. The book explores applications of decision support for sustainable development across supply chain management, business intelligence, agriculture, aviation, communications, and finance. Provides a broad overview of emerging trends and technologies in decision support systems applications Investigates recent trends and core concepts in digital technology transformation as applied to the circular economy and sustainable development Analyzes the application of decision support systems models across a range of case studies and processes which rely on multi-criteria decision-making and have been designed specifically to improve overall sustainability
Intelligent Decision Support Systems
Title | Intelligent Decision Support Systems PDF eBook |
Author | Miquel Sànchez-Marrè |
Publisher | Springer Nature |
Pages | 826 |
Release | 2022-03-28 |
Genre | Computers |
ISBN | 3030877906 |
This book, with invaluable contributions of Professor Franz Wotawa in chapters 5 and 7, presents the potential use and implementation of intelligent techniques in decision making processes involved in organizations and companies. It provides a thorough analysis of decisions, reviewing the classical decision theory, and describing usual methods for modeling the decision process. It describes the chronological evolution of Decision Support Systems (DSS) from early Management Information Systems until the appearance of Intelligent Decision Support Systems (IDSS). It explains the most commonly used intelligent techniques, both data-driven and model-driven, and illustrates the use of knowledge models in Decision Support through case studies. The author pays special attention to the whole Data Science process, which provides intelligent data-driven models in IDSS. The book describes main uncertainty models used in Artificial Intelligence to model inexactness; covers recommender systems; and reviews available development tools for inducing data-driven models, for using model-driven methods and for aiding the development of Intelligent Decision Support Systems.
Intelligent Decision Support Systems
Title | Intelligent Decision Support Systems PDF eBook |
Author | Surekha Borra |
Publisher | Walter de Gruyter GmbH & Co KG |
Pages | 221 |
Release | 2019-10-21 |
Genre | Computers |
ISBN | 3110618710 |
Intelligent prediction and decision support systems are based on signal processing, computer vision (CV), machine learning (ML), software engineering (SE), knowledge based systems (KBS), data mining, artificial intelligence (AI) and include several systems developed from the study of expert systems (ES), genetic algorithms (GA), artificial neural networks (ANN) and fuzzy-logic systems The use of automatic decision support systems in design and manufacturing industry, healthcare and commercial software development systems has the following benifits: Cost savings in companies, due to employment of expert system technology. Fast decision making, completion of projects in time and development of new products. Improvement in decision making capability and quality. Usage of Knowledge database and Preservation of expertise of individuals Eases complex decision problems. Ex: Diagnosis in Healthcare To address the issues and challenges related to development, implementation and application of automatic and intelligent prediction and decision support systems in domains such as manufacturing, healthcare and software product design, development and optimization, this book aims to collect and publish wide ranges of quality articles such as original research contributions, methodological reviews, survey papers, case studies and/or reports covering intelligent systems, expert prediction systems, evaluation models, decision support systems and Computer Aided Diagnosis (CAD).
Intelligent Decision Support Systems for Smart City Applications
Title | Intelligent Decision Support Systems for Smart City Applications PDF eBook |
Author | Loveleen Gaur |
Publisher | John Wiley & Sons |
Pages | 276 |
Release | 2023-02-01 |
Genre | Computers |
ISBN | 1119896436 |
INTELLIGENT DECISION SUPPORT SYSTEMS FOR SMART CITY APPLICATIONS 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.
Intelligent Decision-making Support Systems
Title | Intelligent Decision-making Support Systems PDF eBook |
Author | Jatinder N.D. Gupta |
Publisher | Springer Science & Business Media |
Pages | 508 |
Release | 2007-03-30 |
Genre | Technology & Engineering |
ISBN | 1846282314 |
This book will be bought by researchers and graduates students in Artificial Intelligence and management as well as practising managers and consultants interested in the application of IT and information systems in real business environment.
Innovation in Sustainable Management and Entrepreneurship
Title | Innovation in Sustainable Management and Entrepreneurship PDF eBook |
Author | Gabriela Prostean |
Publisher | Springer Nature |
Pages | 714 |
Release | 2020-05-29 |
Genre | Business & Economics |
ISBN | 3030447111 |
This book analyses state-of-the-art techniques in business process management as drivers of advanced entrepreneurship, financial management, supply chain management, and sustainability management. The role of management in a rapidly-changing environment and the use of innovative methods and techniques to address and solve key management problems are also explored.