Download or read book Intelligent Decision making Support Systems written by Jatinder N.D. Gupta and published by Springer Science & Business Media. This book was released on 2007-03-30 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Intelligent Decision Support Systems written by Miquel Sànchez-Marrè and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book 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.

Download or read book Intelligent Decision Technologies written by Junzo Watada and published by Springer Science & Business Media. This book was released on 2011-11-19 with total page 903 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Decision Technologies (IDT) seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision making in industry, government and academia. The focus is interdisciplinary in nature, and includes research on all aspects of intelligent decision technologies, from fundamental development to the applied system. This volume represents leading research from the Third KES International Symposium on Intelligent Decision Technologies (KES IDT’11), hosted and organized by the University of Piraeus, Greece, in conjunction with KES International. The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Topics include decision making theory, intelligent agents, fuzzy logic, multi-agent systems, Bayesian networks, optimization, artificial neural networks, genetic algorithms, expert systems, decision support systems, geographic information systems, case-based reasoning, time series, knowledge management systems, rough sets, spatial decision analysis, and multi-criteria decision analysis. These technologies have the potential to revolutionize decision making in many areas of management, healthcare, international business, finance, accounting, marketing, military applications, ecommerce, network management, crisis response, building design, information retrieval, and disaster recovery for a better future. The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Topics include decision making theory, intelligent agents, fuzzy logic, multi-agent systems, Bayesian networks, optimization, artificial neural networks, genetic algorithms, expert systems, decision support systems, geographic information systems, case-based reasoning, time series, knowledge management systems, rough sets, spatial decision analysis, and multi-criteria decision analysis. These technologies have the potential to revolutionize decision making in many areas of management, healthcare, international business, finance, accounting, marketing, military applications, ecommerce, network management, crisis response, building design, information retrieval, and disaster recovery for a better future.

Download or read book Intelligent Decision Support in Process Environments written by E. Hollnagel and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the NATO Advanced Study Institute on Intelligent Decision Support in Process Environments, held in San Miniato, Italy, September 16-27, 1985

Download or read book Intelligent Decision Support Methods written by Vasant Dhar and published by . This book was released on 1997-01-01 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Decision Support Systems and Intelligent Systems written by Efraim Turban and published by . This book was released on 2001 with total page 904 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text covers the latest decision support theories and practices used by managers and organizations.

Download or read book Intelligent Decision Support Systems written by Surekha Borra and published by ISSN. This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addressed issues and challenges related to the development, implementation, optimization and application of intelligent prediction and decision support systems in domains such as healthcare and sofware product design.

Download or read book Toward Interactive and Intelligent Decision Support Systems written by Yoshikazu Sawaragi and published by . This book was released on 1987-04-08 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Exploring Intelligent Decision Support Systems written by Rafael Valencia-García and published by Springer. This book was released on 2019-06-07 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovative and high-quality research regarding advanced decision support systems (DSSs). It describes the foundations, methods, methodologies, models, tools, and techniques for designing, developing, implementing and evaluating advanced DSSs in different fields, including finance, health, emergency management, industry and pollution control. Decision support systems employ artificial intelligence methods to heuristically address problems that are cannot be solved using formal techniques. In this context, technologies such as the Semantic Web, linked data, big data, and machine learning are being applied to provide integrated support for individuals and organizations to make more rational decisions. The book is organized into two parts. The first part covers decision support systems for industry, while the second part presents case studies related to clinical emergency management and pollution control.

Download or read book Approaches to Intelligent Decision Support written by Robert G. Jeroslow and published by . This book was released on 1988 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Intelligent Decision Systems written by Samuel Holtzman and published by . This book was released on 1985 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Approaches to Intelligent Decision Support written by Robert G. Jeroslow and published by . This book was released on 1988 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Computational Intelligence for Decision Support written by Zhengxin Chen and published by . This book was released on 2000 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent decision support relies on techniques from a variety of disciplines, including artificial intelligence and database management systems. Most of the existing literature neglects the relationship between these disciplines. By integrating AI and DBMS, Computational Intelligence for Decision Support produces what other texts don't: an explanation of how to use AI and DBMS together to achieve high-level decision making.Threading relevant disciplines from both science and industry, the author approaches computational intelligence as the science developed for decision support. The use of computational intelligence for reasoning and DBMS for retrieval brings about a more active role for computational intelligence in decision support, and merges computational intelligence and DBMS. The introductory chapter on technical aspects makes the material accessible, with or without a decision support background. The examples illustrate the large number of applications and an annotated bibliography allows you to easily delve into subjects of greater interest.The integrated perspective creates a book that is, all at once, technical, comprehensible, and usable. Now, more than ever, it is important for science and business workers to creatively combine their knowledge to generate effective, fruitful decision support. Computational Intelligence for Decision Support makes this task manageable.