Book Description
Widely hailed for its contemporary, cutting-edge perspective, this comprehensive, reader-friendly text covers the latest decision support theories and practices used by managers and organizations. Current examples and cases are drawn from actual organizations and firms. Decision Making, Systems, Modeling, and Support. Data Warehousing, Access, Analysis, Mining, and Visualization. Modeling and Analysis. Decision Support System Development. Collaborative Computing Technologies: Group Support Systems. Enterprise Decision Support Systems. Knowledge Management. Artificial Intelligence and Expert Systems. Knowledge Acquisition and Validation. Knowledge Representation. Inference Techniques. Intelligent Systems Development. Neural Computing Applications, and Advanced Artificial Intelligent Systems and Applications. Intelligent Software Agents and Creativity. Implementing and Integrating Management Support Systems. Organizational and Societal Impacts of Management Support Systems. For managers interested in Decision Support Systems, Computerized Decision Making, and Management Support Systems.
Customer Reviews:
Solid publication for DSS & IT Theory--Great research tool!.......2005-10-25
Not everyone will find this book as extremely useful as I did. The information contained within can be intimidating because of the sheer volume packed into its over 900 pages, but for someone wanting a foundation of Decision-support theory, this book should fulfill your need.
Each chapter provides an overview and a list of learning objectives that are adequately covered in greater detail. While theory lessons provide a necessary base for most students, this book successfully ties a "real-world" example to each chapter lesson that is not only relevant, but also includes associated links should the reader require more detail.
The book layout is fairly consistent with the more recent IT textbook publications that provide information with a short shelf-life (technological improvements being what they are today), but the illustrated concepts should be useful until the next revision is published.
The authors provide a wealth of references that are extremely useful for anyone interested in expanding their knowledge on any particular section or detail in the book. This provides a necessary trail for any research project.
The companion website (publisher) provides power point presentations that outline each chapter that were found useful for classroom utilization, however, a few details such as adding notes pages would have been greatly appreciated. Essentially, the material covered by these presentations proved more than adequate, although sometimes requiring a little digging in the textbook to provide enough detail (which I believe was the intent).
All in all this was an excellent book and a great research tool for anyone pursuing an education in IT.
Rambling book.......2005-10-18
This book could get away with about 2/3 the volume of content still be interesting. There really does not seem to be any structure to the way a chapter flows. Its easy to skim, but difficult to read.
Good case studies;
The connection with the web is a little over-emphasized and sometimes unclear. I'd prefer a dense read, with some concise messages.
This is a good course text, not a favorite though.
Purpose of the book: separate you from your money???.......2005-09-21
As far as I can tell the prupose of this book is to separate you from a great deal of your money!
It has a great deal to say about nothing. There is very little substantive detail on anything! Which, given it's size, really is quite amazing! This book will not teach you how to concretely implement any decision support system. It waffles on at a very distant level about such systems but never gets down in the trenches, if you know what I mean. It's basically why (though only just) rather than how! And for me, that makes this book a very pricey door jam.
Seriously, I was really underwhelmed and disappointed by the book. I ended up buying Statistics, Data Analysis and Decision Modeling by Evens and Olson (isbn: 0130783838) to find the information and practice that I need (decision modeling rather than decision support systems per se). It also comes with phstat software which is a VERY useful excel statistical add-in.
For example, from this book, p681-685 is genetic algorithms -> in 5 Pages!!!!! with nothing substantive about recombination, crossover, mutation, fitness or anythign like that (the terms are mentioned but not explained)...all it does is refer you sompleace else! Fuzzy logic gets 4 pages...with no implementation details. That is seriously ordinary!
So I suggest you save your money and look at something else. SOmehow I don't see this book giving anybody too much joy. It amazes me it has lasted through 7 edition. If the 7th is this bad...I'd hate to see the first edition!!! So, as I said before, more a book about why and where to go to get knowledge of how to do rather than giving you the know-how. SO look for a book on how! This is a book for discovering that terms like knowledge discovery in databases (KDD) actually exist...and maybe what it means (like say webopedia) but certainly not how to do it...
Excellent reference, thick college text.......2005-02-07
This is a textbook appropriate for a college-level course at the upper division or graduate level. It gives very thorough coverage of the entire field in one book, and most students really like the book in satisfaction questionnaires, but some feel overwhelmed until after the material is covered in class. I focus on specific chapters or sections of chapters for a single-semester course.
It is an excellent reference for key elements of DSS and related systems. I've followed it through several editions, and when new chapters are introduced, they may be verbose--but they are more focused in later editions. The authors do a good job of describing how computer-based systems support structured, semi-structured, and unstructured decisions and the design, intelligence, and choice framework. The book also has several good general chapters that provide an overview and describe different types of decision support systems. It includes sections on object-oriented systems and knowledge management (KM) systems. It is pretty theoretical and covers a lot of material, yet it's my favorite text for its purpose.
throw it into the trash.......2004-07-19
Used it for school, found it dry, boring, ugly. I got frustrated every time I picked up the book. Really want to throw it into the trash if not for the resell value.
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Intelligent Decision-making Support Systems: Foundations, Applications and Challenges (Decision Engineering)
Manufacturer: Springer
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ASIN: 1846282284 |
Book Description
Decision-making Support Systems (DMSS) are computer-based systems that support individual or organisational decision-making processes. Recent advances in information technology and artificial intelligence are enhancing these systems and giving rise to intelligent-DMSS.
Intelligent Decision-making Support Systems: Foundations, Applications and Challenges is the first book to provide integrated coverage of the technical aspects of intelligent Decision-Making Support Systems together with discussion of their application and evaluation in organisational structures.
The book brings together up-to-date information on the theory and application of i-DMSS. Readers will learn about the foundations, architectures, methods and strategies for successfully designing, developing, implementing, and evaluating intelligent Decision-making Support Systems.
Intelligent Decision-making Support Systems: Foundations, Applications and Challenges will be of value to researchers in AI and management studies interested in the latest thinking in decision-making, as well practising managers and consultants who are involved with putting advanced information technologies into practice in organisations.
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Intelligent Support Systems for Marketing Decisions (International Series in Operations Research & Management Science)
Nikolaos F. Matsatsinis , and
Y. Siskos
Manufacturer: Springer
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ASIN: 1402071949 |
Book Description
Intelligent Support Systems for Marketing Decisions examines new product development, market penetration strategies, and other marketing decisions utilizing a confluence of methods, including Decision Support Systems (DSS), Artificial Intelligence in Marketing and Multicriteria Analysis. The authors systematically examine the use and implementation of these methodologies in making strategic marketing decisions.
Part I discusses the basic concepts of multicriteria analysis
vis-à-vis marketing decisions and in new product development situations. Part II presents basic concepts from the fields of Information Systems, Decision Support Systems, and Intelligent Decision Support Methods. In addition, specialized categories of DSS (multicriteria DSS, web-based DSS, group DSS, spatial DSS) are discussed in terms of their key features and current use in marketing applications. Part III presents IDSS and a multicriteria methodology for new product development. Further chapters present a developmental strategy for analyzing, designing, and implementing an Intelligent Marketing Decision Support System. The implementation discussion is illustrated with a real-world example of the methods and system in use.
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Intelligent Systems Modeling And Decision Support in Bioengineering (Engineering in Medicine & Biology)
Mahdi Mahfouf
Manufacturer: Artech House Publishers
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ASIN: 158053998X |
Book Description
Intelligent systems try to achieve, through the use of computers, what we associate with intelligence - flexible, learning and adaptive activity like we find in the human brain. For the first time, this groundbreaking resource provides a detailed understanding of the analysis, design, and application of new intelligent systems in the biomedical industry. The book covers the three major areas of application in biomedicine, including the modeling and control in human anaesthesia, decision support for critically ill patients in intensive care units, and modeling of humans who are subjected to physiological stress. The culmination of more than 18 years of research, this cutting-edge reference offers practical modeling and control guidance by presenting a combination of simulations, real-time experiments, and actual patient data.
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Intelligent Information Systems: Meeting the Challenge of the Knowledge Era
Alan J. Rowe , and
Sue Anne Davis
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Product Management (Mcgraw-Hill/Irwin Series in Marketing)
ASIN: 0899309127 |
Book Description
This book closes the gap between information technologies and management decision making. It treats currently relevant topics in information technology--knowledge-based expert systems, graphic-user interface, fuzzy logic, neural networks, data storage, client server, and integration of heterogeneous databases--by using examples and, more importantly, by relating these methods to the needs of the decision maker by taking into account the individual's decision style. The authors provide a solid basis for determining how decision makers use and access information that becomes part of the design of information systems. Integrating the decision maker into the design results in a more "intelligent information system" because the focus is on the outcome rather than on the methodology or computer power used.
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Artificial Intelligence in Industrial Decision Making, Control and Automation (Microprocessor-Based and Intelligent Systems Engineering)
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ASIN: 0792333209 |
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The field of artificial intelligence (AI) has expanded enormously during the last years, and solid theoretical and application results are now available. Researchers and practitioners are building AI-based systems that face real-world and industrial problems.
Artificial Intelligence in Industrial Decision Making,
Control and Automation provides a balanced state-of-the-art presentation of the involvement of AI in the design and operation of important industrial systems with built-in intelligence. Topics included are: integration of qualitative and quantitative models, timing problems, intelligent simulation and control, multiresolutional architectures for autonomous systems, DAI systems, artificial neural networks in modelling and control, system diagnostics, industrial robotic systems and cells, man-robot systems, flexible manufacturing systems, knowledge-based scheduling systems.
Readers can save considerable time in searching the scattered literature in the field, and can find here a rich set of how-to-do issues and results which will improve their skills in analyzing and designing AI-based systems.
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Computational Intelligence Systems and Applications: Neuro-Fuzzy and Fuzzy Neural Synergisms (Studies in Fuzziness and Soft Computing)
Marian B. Gorzalczany
Manufacturer: Physica-Verlag Heidelberg
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ASIN: 3790814393 |
Book Description
This book presents new concepts and implementations of Computational Intelligence (CI) systems (based on neuro-fuzzy and fuzzy neural synergisms) and a broad comparative analysis with the best-known existing neuro-fuzzy systems as well as with systems representing other knowledge-discovery techniques such as rough sets, decision trees, regression trees, probabilistic rule induction etc. This presentation is preceded by a discussion of the main directions of synthesizing fuzzy sets, artificial neural networks and genetic algorithms in the framework of designing CI systems. In order to keep the book self-contained, introductions to the basic concepts of fuzzy systems, artificial neural networks and genetic algorithms are given. This book is intended for researchers and practitioners in AI/CI fields and for students of computer science or neighbouring areas.
Product Description
Printed in black and white pages.
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Fuzzy Reasoning in Decision Making and Optimization (Studies in Fuzziness and Soft Computing)
Christer Carlsson , and
Robert Fuller
Manufacturer: Physica-Verlag Heidelberg
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ASIN: 3790814288 |
Book Description
This book starts with the basic concepts of fuzzy arithmetics and progresses through the analysis of sup-t-norm-extended arithmetic operations, possibilistic linear systems and fuzzy reasoning approaches to fuzzy optimization. Four applications of (interdependent) fuzzy optimization and fuzzy reasoning to strategic planning, project management with real options, strategic management and supply chain management are presented and carefully discussed. The book ends with a detailed description of some intelligent software agents, where fuzzy reasoning schemes are used to enhance their functionality. It can be useful for researchers and students working in soft computing, applied mathematics, operations research, management science, information systems, intelligent agents and artificial intelligence.
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Fuzzy Reasoning in Information, Decision and Control Systems (Intelligent Systems, Control and Automation: Science and Engineering)
Manufacturer: Springer
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ASIN: 0792326431 |
Book Description
This book is devoted to the study of fuzzy reasoning as applied to decision making and control processes. It contains a collection of important contributions covering a wide well-selected range of topics within the field.
The book contains twenty-one papers, written by thirty-four distinguished contributors and is divided into five parts.
Part 1 involves four chapters providing background material together with useful techniques for the validation of fuzzy knowledge bases and the software representation of fuzzy sets and fuzzy logic.
Part 2 presents an overview of neuro-fuzzy expert systems along with an important case study, and a neural network model which is suitable for fuzzy reasoning.
Part 3 presents the state of art of fuzzy controllers, including design and implementation aspects. This part starts with a chapter on the demystification of fuzzy control and includes critical evaluations of fuzzy controllers, along with new types of fuzzy controllers such as the sliding mode fuzzy controller.
Part 4 involves a chapter on fuzzy parameter and state estimation, which is of fundamental importance in a variety of applications, a chapter on fuzzy reasoning as used in rule-based systems, and a chapter on computing the multivariable shape of an n-D pattern class. Finally,
Part 5 presents six important applications dealing with industrial robotic systems, mechanical systems, manipulators with artificial rubber muscles, Petri nets, biomedical engineering, and nondestructive fruit collection.
The book is suitable for the researcher and practitioner, as well as for the teacher and student in related Master and Doctoral courses.
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