Introduction To Optimization Based Decision Making
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Introduction To Optimization Based Decision Making
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Author : Joao Luis de Miranda
language : en
Publisher: CRC Press
Release Date : 2021-12-19
Introduction To Optimization Based Decision Making written by Joao Luis de Miranda and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-19 with Business & Economics categories.
The large and complex challenges the world is facing, the growing prevalence of huge data sets, and the new and developing ways for addressing them (artificial intelligence, data science, machine learning, etc.), means it is increasingly vital that academics and professionals from across disciplines have a basic understanding of the mathematical underpinnings of effective, optimized decision-making. Without it, decision makers risk being overtaken by those who better understand the models and methods, that can best inform strategic and tactical decisions. Introduction to Optimization-Based Decision-Making provides an elementary and self-contained introduction to the basic concepts involved in making decisions in an optimization-based environment. The mathematical level of the text is directed to the post-secondary reader, or university students in the initial years. The prerequisites are therefore minimal, and necessary mathematical tools are provided as needed. This lean approach is complemented with a problem-based orientation and a methodology of generalization/reduction. In this way, the book can be useful for students from STEM fields, economics and enterprise sciences, social sciences and humanities, as well as for the general reader interested in multi/trans-disciplinary approaches. Features Collects and discusses the ideas underpinning decision-making through optimization tools in a simple and straightforward manner Suitable for an undergraduate course in optimization-based decision-making, or as a supplementary resource for courses in operations research and management science Self-contained coverage of traditional and more modern optimization models, while not requiring a previous background in decision theory
Introduction To Optimization Based Decision Making
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Author : Joao Luis de Miranda
language : en
Publisher: CRC Press
Release Date : 2021-12-19
Introduction To Optimization Based Decision Making written by Joao Luis de Miranda and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-19 with Business & Economics categories.
The large and complex challenges the world is facing, the growing prevalence of huge data sets, and the new and developing ways for addressing them (artificial intelligence, data science, machine learning, etc.), means it is increasingly vital that academics and professionals from across disciplines have a basic understanding of the mathematical underpinnings of effective, optimized decision-making. Without it, decision makers risk being overtaken by those who better understand the models and methods, that can best inform strategic and tactical decisions. Introduction to Optimization-Based Decision-Making provides an elementary and self-contained introduction to the basic concepts involved in making decisions in an optimization-based environment. The mathematical level of the text is directed to the post-secondary reader, or university students in the initial years. The prerequisites are therefore minimal, and necessary mathematical tools are provided as needed. This lean approach is complemented with a problem-based orientation and a methodology of generalization/reduction. In this way, the book can be useful for students from STEM fields, economics and enterprise sciences, social sciences and humanities, as well as for the general reader interested in multi/trans-disciplinary approaches. Features Collects and discusses the ideas underpinning decision-making through optimization tools in a simple and straightforward manner Suitable for an undergraduate course in optimization-based decision-making, or as a supplementary resource for courses in operations research and management science Self-contained coverage of traditional and more modern optimization models, while not requiring a previous background in decision theory
Handbooks In Operations Research And Management Science Transportation
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Author : Cynthia Barnhart
language : en
Publisher: Elsevier
Release Date : 2006-12-08
Handbooks In Operations Research And Management Science Transportation written by Cynthia Barnhart and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-12-08 with Psychology categories.
This book contains eleven chapters describing some of the most recent methodological operations research developments in transportation. It is structured around the main transportation modes, and each chapter is written by a group of well-recognized researchers. Because of the major impact of operations research methods in the field of air transportation over the past forty years, it is befitting to open the book with a chapter on airline operations management. This book will prove useful to researchers, students, and practitioners in transportation and will stimulate further research in this rich and fascinating area. - Volume 14 examines transport and its relationship with operations and management science - 11 chapters cover the most recent research developments in transportation - Focuses on main transportation modes-air travel, automobile, public transit, maritime transport, and more
Decision Systems
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Author : Pallavi Vijay Chavan
language : en
Publisher: Morgan Kaufmann
Release Date : 2026-01-01
Decision Systems written by Pallavi Vijay Chavan and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-01 with Computers categories.
Decision Systems: Integrating Machine Learning, Fuzzy Logic, and Artificial Neural Networks provides readers with a comprehensive understanding of the principal techniques used to build effective decision-making systems. This book covers the fundamental principles and concepts of machine learning, fuzzy logic, and artificial neural networks, and explains how these techniques can be used to build intelligent decision-making systems that can learn from data, reason, and make accurate predictions. The book also presents a wide range of applications of machine learning, fuzzy logic, and artificial neural networks in various domains, such as engineering, medicine, finance, and robotics. The book also provides practical guidance on how to design and implement effective decision-making systems using these techniques and discusses the potential challenges and limitations of machine learning, fuzzy logic, and artificial neural networks, and how to overcome them. The book provides a stepwise approach to provide readers with the knowledge and tools they need to build intelligent decision-making systems, including a robust introduction to the mathematical concepts and principles necessary to understand the concepts and applications of Decision Systems and Machine Learning algorithms. Next, the book provides readers with an in-depth explanation and demonstration of two of the major machine learning techniques – Fuzzy Logic/Fuzzy Set Theory and Artificial Neural Networks – followed by an in-depth look at more advanced topics that play essential roles in making machine learning algorithms more useful in practice, including creating full-fledged Recurrent Networks and their mathematical foundations, Associative Memories, and Deep Learning networks such as Convolutional Neural Networks, Generative Adversarial Networks, Radial Basis Function Networks, Multilayer Perceptrons, and Self-Organizing Maps. The lynchpin of the book provides readers with an understanding of how the various types of techniques can be integrated to create dynamic Decision Systems. The book wraps up with coverage of challenges and opportunities in Decision Systems along with real-world applications of Decision Systems with case studies in healthcare, finance, education, social media, and agriculture. - Covers foundational concepts, advanced theories, and real-world applications, ensuring readers gain a thorough understanding of Decision Systems - Presents the foundational mathematics behind the various techniques covered, including stepwise mathematical formula development, R and Python code syntax listings for the worked examples, and stepwise methods and procedures for application algorithms - Illustrates how fuzzy logic and neural networks can be integrated with other disciplines like machine learning, optimization, and data science to create powerful hybrid solutions
Intelligent Electronics And Circuits
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Author : Mingbo Niu
language : en
Publisher: BoD – Books on Demand
Release Date : 2022-09-28
Intelligent Electronics And Circuits written by Mingbo Niu and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-28 with Technology & Engineering categories.
Intelligent electronics could shape future smart cities and promote initiatives on exploring brand-new integrated circuits, high-effective intelligent reconfigurable surfaces, nondestructive evaluation, terahertz (THz), ITS, 6G, medical and safety imaging, and signal filtering. This book presents mainstream principles, circuitry architectures, and a development roadmap for intelligent electronic systems. Its content ranges from theoretical basis to materials characteristics, and from featured advances to practical applications.
Proceedings Of The Seventh International Forum On Decision Sciences
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Author : Xiang Li
language : en
Publisher: Springer Nature
Release Date : 2020-09-17
Proceedings Of The Seventh International Forum On Decision Sciences written by Xiang Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-17 with Business & Economics categories.
These proceedings focus on selected aspects of the current and upcoming trends in transportation, logistics, supply chain management, and decision sciences. In detail the included scientific papers analyze the problem of Decision Making under Uncertainty, Stochastic Optimization, Transportation, Logistics and Intelligent Business. The variety of the papers delivers added value for both scholars and practitioners. This book is the documentation of the symposium “The Seventh International Forum on Decision Sciences”, which took place in Windsor, Canada.
Decision Making In Engineering Design
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Author : Kemper E. Lewis
language : en
Publisher: American Society of Mechanical Engineers
Release Date : 2006
Decision Making In Engineering Design written by Kemper E. Lewis and has been published by American Society of Mechanical Engineers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Technology & Engineering categories.
Provides examples of effective application of decision-based design; theory and practice in decision-based design; insights on handling preferences, handling uncertainty, distributed design, demand modeling, validation, and other issues; and end-of-chapter exercise problems to facilitate learning.
Optimization Based Computer Aided Modelling And Design
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Author : IFIP TC 7.6 Working Group. Working Conference
language : en
Publisher: Springer
Release Date : 1992
Optimization Based Computer Aided Modelling And Design written by IFIP TC 7.6 Working Group. Working Conference and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
The working conference dealt with recent developments in the field of modelling and optimization and with knowledge based decision support systems. This contributed to the realiza- tion of the aims of the working group 7.6 which are: - to promote theoretical research in the field of optimization including mathematical programming and optimal control; -to encourage the development of sophisticated knowledge based systems in which refined optimization models and algorithms are used; - to contribute to the exchange and dissemination of information and collective experience among the inter- ested groups and individuals; - to support the practical ap- plication of such systems in control, engineering, industry, economy etc. A selection of papers is included into this proceedings vo- lume since they reflect the current state of research in areas of interest to the field of (KB)DDS, and/or they are the value for the dissemination and exchange of information related to research topicsof interest, and/or they describe relevant practical experience related to designing, buil- ding, implementing and using (KB)DSS.
Aiaa Journal
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Author : American Institute of Aeronautics and Astronautics
language : en
Publisher:
Release Date : 2003
Aiaa Journal written by American Institute of Aeronautics and Astronautics and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Aeronautics categories.
Decision Support Systems And Electronic Commerce
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Author :
language : en
Publisher:
Release Date : 2002-05
Decision Support Systems And Electronic Commerce written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-05 with Decision support systems categories.