Human-Centric Decision-Making Models for Social Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Human-Centric Decision-Making Models for Social Sciences write by Peijun Guo. This book was released on 2013-11-01. Human-Centric Decision-Making Models for Social Sciences available in PDF, EPUB and Kindle. The volume delivers a wealth of effective methods to deal with various types of uncertainty inherently existing in human-centric decision problems. It elaborates on comprehensive decision frameworks to handle different decision scenarios, which help use effectively the explicit and tacit knowledge and intuition, model perceptions and preferences in a more human-oriented style. The book presents original approaches and delivers new results on fundamentals and applications related to human-centered decision making approaches to business, economics and social systems. Individual chapters cover multi-criteria (multiattribute) decision making, decision making with prospect theory, decision making with incomplete probabilistic information, granular models of decision making and decision making realized with the use of non-additive measures. New emerging decision theories being presented as along with a wide spectrum of ongoing research make the book valuable to all interested in the field of advanced decision-making. The volume, self-contained in its nature, offers a systematic exposure to the concepts, design methodologies, and detailed algorithms. A prudent balance between the theoretical studies and applications makes the material suitable for researchers and graduate students in information, computer sciences, psychology, cognitive science, economics, system engineering, operation research and management science, risk management, public and social policy.
Soft Computing Applications for Group Decision-making and Consensus Modeling
Soft Computing Applications for Group Decision-making and Consensus Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Soft Computing Applications for Group Decision-making and Consensus Modeling write by Mikael Collan. This book was released on 2017-06-30. Soft Computing Applications for Group Decision-making and Consensus Modeling available in PDF, EPUB and Kindle. This book offers a concise introduction and comprehensive overview of the state of the art in the field of decision-making and consensus modeling, with a special emphasis on fuzzy methods. It consists of a collection of authoritative contributions reporting on the decision-making process from different perspectives: from psychology to social and political sciences, from decision sciences to data mining, and from computational sciences in general, to artificial and computational intelligence and systems. Written as a homage to Mario Fedrizzi for his scholarly achievements, creative ideas and long lasting services to different scientific communities, it introduces key theoretical concepts, describes new models and methods, and discusses a range of promising real-world applications in the field of decision-making science. It is a timely reference guide and a source of inspiration for advanced students and researchers
Behavioral Predictive Modeling in Economics
Behavioral Predictive Modeling in Economics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Behavioral Predictive Modeling in Economics write by Songsak Sriboonchitta. This book was released on 2020-08-05. Behavioral Predictive Modeling in Economics available in PDF, EPUB and Kindle. This book presents both methodological papers on and examples of applying behavioral predictive models to specific economic problems, with a focus on how to take into account people's behavior when making economic predictions. This is an important issue, since traditional economic models assumed that people make wise economic decisions based on a detailed rational analysis of all the relevant aspects. However, in reality – as Nobel Prize-winning research has shown – people have a limited ability to process information and, as a result, their decisions are not always optimal. Discussing the need for prediction-oriented statistical techniques, since many statistical methods currently used in economics focus more on model fitting and do not always lead to good predictions, the book is a valuable resource for researchers and students interested in the latest results and challenges and for practitioners wanting to learn how to use state-of-the-art techniques.
Progress in Intelligent Decision Science
Progress in Intelligent Decision Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Progress in Intelligent Decision Science write by Tofigh Allahviranloo. This book was released on 2021-01-29. Progress in Intelligent Decision Science available in PDF, EPUB and Kindle. This book contains the topics of artificial intelligence and deep learning that do have much application in real-life problems. The concept of uncertainty has long been used in applied science, especially decision making and a logical decision must be made in the field of uncertainty or in the real-life environment that is formed and combined with vague concepts and data. The chapters of this book are connected to the new concepts and aspects of decision making with uncertainty. Besides, other chapters are involved with the concept of data mining and decision making under uncertain computations.
Uncertainty, Constraints, and Decision Making
Uncertainty, Constraints, and Decision Making - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Uncertainty, Constraints, and Decision Making write by Martine Ceberio. This book was released on 2023-10-20. Uncertainty, Constraints, and Decision Making available in PDF, EPUB and Kindle. In the first approximation, decision making is nothing else but an optimization problem: We want to select the best alternative. This description, however, is not fully accurate: it implicitly assumes that we know the exact consequences of each decision, and that, once we have selected a decision, no constraints prevent us from implementing it. In reality, we usually know the consequences with some uncertainty, and there are also numerous constraints that needs to be taken into account. The presence of uncertainty and constraints makes decision making challenging. To resolve these challenges, we need to go beyond simple optimization, we also need to get a good understanding of how the corresponding systems and objects operate, a good understanding of why we observe what we observe – this will help us better predict what will be the consequences of different decisions. All these problems – in relation to different application areas – are the main focus of this book.
