Advanced Intelligent Computational Technologies And Decision Support Systems

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Advanced Intelligent Computational Technologies and Decision Support Systems

Author : Barna Iantovics,Roumen Kountchev
Publisher : Springer
Page : 243 pages
File Size : 52,9 Mb
Release : 2013-08-04
Category : Technology & Engineering
ISBN : 9783319004679

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Advanced Intelligent Computational Technologies and Decision Support Systems by Barna Iantovics,Roumen Kountchev Pdf

This book offers a state of the art collection covering themes related to Advanced Intelligent Computational Technologies and Decision Support Systems which can be applied to fields like healthcare assisting the humans in solving problems. The book brings forward a wealth of ideas, algorithms and case studies in themes like: intelligent predictive diagnosis; intelligent analyzing of medical images; new format for coding of single and sequences of medical images; Medical Decision Support Systems; diagnosis of Down’s syndrome; computational perspectives for electronic fetal monitoring; efficient compression of CT Images; adaptive interpolation and halftoning for medical images; applications of artificial neural networks for real-life problems solving; present and perspectives for Electronic Healthcare Record Systems; adaptive approaches for noise reduction in sequences of CT images etc.

Advanced Computational Intelligence Paradigms in Healthcare 5

Author : Sheryl Brahnam,Lakhmi C Jain
Publisher : Springer
Page : 232 pages
File Size : 55,9 Mb
Release : 2010-10-14
Category : Technology & Engineering
ISBN : 9783642160950

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Advanced Computational Intelligence Paradigms in Healthcare 5 by Sheryl Brahnam,Lakhmi C Jain Pdf

This book is a continuation of the previous volumes of our series on Advanced Computational Intelligence Paradigms in Healthcare. The recent advances in computational intelligence paradigms have highlighted the need of intelligent systems in healthcare. This volume provides the reader a glimpse of the current state of the art in intelligent support system design in the field of healthcare. The book reports a sample of recent advances in: • Clinical Decision Support Systems • Rehabilitation Decision Support Systems • Technology Acceptance in Medical Decision Support Systems The book is directed to the researchers, professors, practitioner and students interested to design and develop intelligent decision support systems.

Exploring Intelligent Decision Support Systems

Author : Rafael Valencia-García,Mario Andrés Paredes-Valverde,María del Pilar Salas-Zárate,Giner Alor-Hernández
Publisher : Springer
Page : 238 pages
File Size : 50,9 Mb
Release : 2019-06-07
Category : Computers
ISBN : 3319892665

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Exploring Intelligent Decision Support Systems by Rafael Valencia-García,Mario Andrés Paredes-Valverde,María del Pilar Salas-Zárate,Giner Alor-Hernández Pdf

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.

Intelligent Decision Support Systems

Author : Surekha Borra,Nilanjan Dey,Siddhartha Bhattacharyya,Mohamed Salim Bouhlel
Publisher : Walter de Gruyter GmbH & Co KG
Page : 221 pages
File Size : 41,9 Mb
Release : 2019-10-21
Category : Computers
ISBN : 9783110618716

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Intelligent Decision Support Systems by Surekha Borra,Nilanjan Dey,Siddhartha Bhattacharyya,Mohamed Salim Bouhlel Pdf

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).

Computational Intelligence for Decision Support

Author : Zhengxin Chen
Publisher : CRC Press
Page : 408 pages
File Size : 47,5 Mb
Release : 1999-11-24
Category : Computers
ISBN : 1420049143

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Computational Intelligence for Decision Support by Zhengxin Chen Pdf

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.

DSS 2.0 - Supporting Decision Making With New Technologies

Author : G.E. Phillips-Wren,S. Carlsson,A. Respício
Publisher : IOS Press
Page : 604 pages
File Size : 52,8 Mb
Release : 2014-05-22
Category : Computers
ISBN : 9781614993995

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DSS 2.0 - Supporting Decision Making With New Technologies by G.E. Phillips-Wren,S. Carlsson,A. Respício Pdf

Advances in technology have resulted in new and advanced methods to support decision-making. For example, artificial intelligence has enabled people to make better decisions hrough the use of Intelligent Decision Support Systems (DSS). Emerging research in DSS demonstrates that decision makers can operate in a more timely manner using real-time data, more accurately due to data mining and 'big data' methods, more strategically by considering a greater number of factors, more precisely and inclusively due to the availability of social networking data, and with a wider media reach with video and audio technology._x000D_ _x000D_This book presents the proceedings of the IFIP TC8/Working Group 8.3 conference held at the Université Pierre et Marie Curie in Paris, France, in June 2014. Throughout its history the conference has aimed to present the latest innovations and achievements in Decision Support Systems. This year the conference looks to the next generation with the theme of new technologies to enable DSS2.0. The topics covered include theoretical, empirical and design science research; case-based approaches in decision support systems; decision models in the real-world; healthcare information technology; decision making theory; knowledge management; knowledge and resource discovery; business intelligence; group decision support systems; collaborative decision making; analytics and ‘big data’; rich language for decision support; multimedia tools for DSS; Web 2.0 systems in decision support; context-based technologies for decision making; intelligent systems and technologies in decision support; organizational decision support; research methods in DSS 2.0; mobile DSS; competing on analytics; and social media analytics._x000D_ _x000D_ The book will be of interest to all those who develop or use Decision Support Systems. The variety of methods and applications illustrated by this international group of carefully reviewed papers should provide ideas and directions for future researchers and practitioners alike.

Intelligent Decision Support Systems

Author : Miquel Sànchez-Marrè
Publisher : Springer Nature
Page : 826 pages
File Size : 42,5 Mb
Release : 2022-03-28
Category : Computers
ISBN : 9783030877903

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Intelligent Decision Support Systems by Miquel Sànchez-Marrè Pdf

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-making Support Systems

Author : Jatinder N.D. Gupta,Guisseppi A. Forgionne,Manuel Mora T.
Publisher : Springer Science & Business Media
Page : 503 pages
File Size : 52,8 Mb
Release : 2007-03-30
Category : Technology & Engineering
ISBN : 9781846282317

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Intelligent Decision-making Support Systems by Jatinder N.D. Gupta,Guisseppi A. Forgionne,Manuel Mora T. Pdf

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.

Decision Support Systems and Intelligent Systems

Author : Efraim Turban,Jay E. Aronson
Publisher : Unknown
Page : 916 pages
File Size : 55,5 Mb
Release : 1998
Category : Business & Economics
ISBN : 0137409370

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Decision Support Systems and Intelligent Systems by Efraim Turban,Jay E. Aronson Pdf

B> This book is widely known for its comprehensive treatment of decision support theory and how it is applied. Through four editions, this book has defined the course and set the standard for up-to-date coverage of the latest decision support theories and practices by managers and organizations. This fifth edition has been streamlined and updated throughout to reflect new computing technologies. Chapter 9 has been completely rewritten to focus on the Internet and Intranet. The reader will find expanded coverage of data warehousing, data mining, on-line analytical processes, and an entirely new chapter on intelligent agents (Ch. 19). Internet related topics and links to Internet exercises and cases appear throughout the new edition.

Decision Support Systems for Business Intelligence

Author : Vicki L. Sauter
Publisher : John Wiley & Sons
Page : 482 pages
File Size : 45,8 Mb
Release : 2014-08-21
Category : Business & Economics
ISBN : 9781118627235

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Decision Support Systems for Business Intelligence by Vicki L. Sauter Pdf

Praise for the First Edition "This is the most usable decision support systems text. [i]t is far better than any other text in the field" —Computing Reviews Computer-based systems known as decision support systems (DSS) play a vital role in helping professionals across various fields of practice understand what information is needed, when it is needed, and in what form in order to make smart and valuable business decisions. Providing a unique combination of theory, applications, and technology, Decision Support Systems for Business Intelligence, Second Edition supplies readers with the hands-on approach that is needed to understand the implications of theory to DSS design as well as the skills needed to construct a DSS. This new edition reflects numerous advances in the field as well as the latest related technological developments. By addressing all topics on three levels—general theory, implications for DSS design, and code development—the author presents an integrated analysis of what every DSS designer needs to know. This Second Edition features: Expanded coverage of data mining with new examples Newly added discussion of business intelligence and transnational corporations Discussion of the increased capabilities of databases and the significant growth of user interfaces and models Emphasis on analytics to encourage DSS builders to utilize sufficient modeling support in their systems A thoroughly updated section on data warehousing including architecture, data adjustment, and data scrubbing Explanations and implications of DSS differences across cultures and the challenges associated with transnational systems Each chapter discusses various aspects of DSS that exist in real-world applications, and one main example of a DSS to facilitate car purchases is used throughout the entire book. Screenshots from JavaScript® and Adobe® ColdFusion are presented to demonstrate the use of popular software packages that carry out the discussed techniques, and a related Web site houses all of the book's figures along with demo versions of decision support packages, additional examples, and links to developments in the field. Decision Support Systems for Business Intelligence, Second Edition is an excellent book for courses on information systems, decision support systems, and data mining at the advanced undergraduate and graduate levels. It also serves as a practical reference for professionals working in the fields of business, statistics, engineering, and computer technology.

Intelligent Decision Making: An AI-Based Approach

Author : Gloria Phillips-Wren,Nikhil Ichalkaranje
Publisher : Springer Science & Business Media
Page : 414 pages
File Size : 52,6 Mb
Release : 2008-03-04
Category : Mathematics
ISBN : 9783540768289

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Intelligent Decision Making: An AI-Based Approach by Gloria Phillips-Wren,Nikhil Ichalkaranje Pdf

Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intelligence and network-centric environments that can deliver the technology. Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to a human decision maker. At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications. This book includes contributions from leading researchers in the field beginning with the foundations of human decision making and the complexity of the human cognitive system. Researchers contrast human and artificial intelligence, survey computational intelligence, present pragmatic systems, and discuss future trends. This book will be an invaluable resource to anyone interested in the current state of knowledge and key research gaps in the rapidly developing field of intelligent decision support.

Advanced Topics in Intelligent Information and Database Systems

Author : Dariusz Król,Ngoc Thanh Nguyen,Kiyoaki Shirai
Publisher : Springer
Page : 561 pages
File Size : 53,8 Mb
Release : 2017-03-25
Category : Technology & Engineering
ISBN : 9783319566603

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Advanced Topics in Intelligent Information and Database Systems by Dariusz Król,Ngoc Thanh Nguyen,Kiyoaki Shirai Pdf

This book presents recent research in intelligent information and database systems. The carefully selected contributions were initially accepted for presentation as posters at the 9th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2017) held from to 5 April 2017 in Kanazawa, Japan. While the contributions are of an advanced scientific level, several are accessible for non-expert readers. The book brings together 47 chapters divided into six main parts: • Part I. From Machine Learning to Data Mining.• Part II. Big Data and Collaborative Decision Support Systems,• Part III. Computer Vision Analysis, Detection, Tracking and Recognition,• Part IV. Data-Intensive Text Processing,• Part V. Innovations in Web and Internet Technologies, and• Part VI. New Methods and Applications in Information and Software Engineering. The book is an excellent resource for researchers and those working in algorithmics, artificial and computational intelligence, collaborative systems, decision management and support systems, natural language processing, image and text processing, Internet technologies, and information and software engineering, as well as for students interested in such research areas.

Intelligent Decision Technology Support in Practice

Author : Jeffrey W. Tweedale,Rui Neves-Silva,Lakhmi C. Jain,Gloria Phillips-Wren,Junzo Watada,Robert J. Howlett
Publisher : Springer
Page : 261 pages
File Size : 45,9 Mb
Release : 2015-08-22
Category : Technology & Engineering
ISBN : 9783319212098

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Intelligent Decision Technology Support in Practice by Jeffrey W. Tweedale,Rui Neves-Silva,Lakhmi C. Jain,Gloria Phillips-Wren,Junzo Watada,Robert J. Howlett Pdf

This book contains a collection of innovative chapters emanating from topics raised during the 5th KES International Conference on Intelligent Decision Technologies (IDT), held during 2013 at Sesimbra, Portugal. The authors were invited to expand their original papers into a plethora of innovative chapters espousing IDT methodologies and applications. This book documents leading-edge contributions, representing advances in Knowledge-Based and Intelligent Information and Engineering System. It acknowledges that researchers recognize that society is familiar with modern Advanced Information Processing and increasingly expect richer IDT systems. Each chapter concentrates on the theory, design, development, implementation, testing or evaluation of IDT techniques or applications. Anyone that wants to work with IDT or simply process knowledge should consider reading one or more chapters and focus on their technique of choice. Most readers will benefit from reading additional chapters to access alternative technique that often represent alternative approaches. This book is suitable for anyone interested in or already working with IDT or Intelligent Decision Support Systems. It is also suitable for students and researchers seeking to learn more about modern Artificial Intelligence and Computational Intelligence techniques that support decision-making in modern computer systems.

COMPUTATIONAL INTELLIGENCE IN COMPLEX DECISION MAKING SYSTEMS

Author : Ruan Da
Publisher : Springer Science & Business Media
Page : 398 pages
File Size : 48,8 Mb
Release : 2010-06-01
Category : Computers
ISBN : 9789491216299

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COMPUTATIONAL INTELLIGENCE IN COMPLEX DECISION MAKING SYSTEMS by Ruan Da Pdf

In recent years, there has been a growing interest in the need for designing intelligent systems to address complex decision systems. One of the most challenging issues for the intelligent system is to effectively handle real-world uncertainties that cannot be eliminated. These uncertainties include various types of information that are incomplete, imprecise, fragmentary, not fully reliable, vague, contradictory, deficient, and overloading. The uncertainties result in a lack of the full and precise knowledge of the decision system, including the determining and selection of evaluation criteria, alternatives, weights, assignment scores, and the final integrated decision result. Computational intelligent techniques (including fuzzy logic, neural networks, and genetic algorithms etc.), which are complimentary to the existing traditional techniques, have shown great potential to solve these demanding, real-world decision problems that exist in uncertain and unpredictable environments. These technologies have formed the foundation for intelligent systems.

Multicriteria Decision Aid and Artificial Intelligence

Author : Michael Doumpos,Evangelos Grigoroudis
Publisher : John Wiley & Sons
Page : 328 pages
File Size : 52,6 Mb
Release : 2013-02-01
Category : Business & Economics
ISBN : 9781118522493

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Multicriteria Decision Aid and Artificial Intelligence by Michael Doumpos,Evangelos Grigoroudis Pdf

Presents recent advances in both models and systems for intelligent decision making. Organisations often face complex decisions requiring the assessment of large amounts of data. In recent years Multicriteria Decision Aid (MCDA) and Artificial Intelligence (AI) techniques have been applied with considerable success to support decision making in a wide range of complex real-world problems. The integration of MCDA and AI provides new capabilities relating to the structuring of complex decision problems in static and distributed environments. These include the handling of massive data sets, the modelling of ill-structured information, the construction of advanced decision models, and the development of efficient computational optimization algorithms for problem solving. This book covers a rich set of topics, including intelligent decision support technologies, data mining models for decision making, evidential reasoning, evolutionary multiobjective optimization, fuzzy modelling, as well as applications in management and engineering. Multicriteria Decision Aid and Artificial Intelligence: Covers all of the recent advances in intelligent decision making. Includes a presentation of hybrid models and algorithms for preference modelling and optimisation problems. Provides illustrations of new intelligent technologies and architectures for decision making in static and distributed environments. Explores the general topics on preference modelling and learning, along with the coverage of the main techniques and methodologies and applications. Is written by experts in the field. This book provides an excellent reference tool for the increasing number of researchers and practitioners interested in the integration of MCDA and AI for the development of effective hybrid decision support methodologies and systems. Academics and post-graduate students in the fields of operational research, artificial intelligence and management science or decision analysis will also find this book beneficial.