Intelligent Support Systems: Knowledge Management

Intelligent Support Systems: Knowledge Management PDF

Author: Sugumaran, Vijayan

Publisher: IGI Global

Published: 2001-07-01

Total Pages: 318

ISBN-13: 1931777195

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There is a growing interest in developing intelligent systems that would enable users to accomplish complex tasks in a Web-centric environment with relative ease by utilizing such technologies as intelligent agents, distributed computing and computer supported collaborative work. This book brings together researchers in related fields to explore various aspects of ISS design and implementation, as well as to share experiences and lessons learned in deploying intelligent support systems.

Intelligent Support Systems for Marketing Decisions

Intelligent Support Systems for Marketing Decisions PDF

Author: Nikolaos F. Matsatsinis

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 517

ISBN-13: 146151147X

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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.

Intelligent Decision-making Support Systems

Intelligent Decision-making Support Systems PDF

Author: Jatinder N.D. Gupta

Publisher: Springer Science & Business Media

Published: 2007-03-30

Total Pages: 508

ISBN-13: 1846282314

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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.

Exploring Intelligent Decision Support Systems

Exploring Intelligent Decision Support Systems PDF

Author: Rafael Valencia-García

Publisher: Springer

Published: 2018-02-07

Total Pages: 238

ISBN-13: 3319740024

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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

Intelligent Decision Support Systems PDF

Author: Miquel Sànchez-Marrè

Publisher: Springer Nature

Published: 2022-03-28

Total Pages: 826

ISBN-13: 3030877906

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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 Systems for Knowledge Management

Intelligent Systems for Knowledge Management PDF

Author: Edward Szczerbicki

Publisher: Springer Science & Business Media

Published: 2009-09-30

Total Pages: 336

ISBN-13: 3642041698

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New approaches are needed that could move us towards developing effective systems for problem solving and decision making, systems that can deal with complex and ill-structured situations, systems that can function in information rich environments, systems that can cope with imprecise information, systems that can rely on their knowledge and learn from experience - i.e. intelligent systems. One of the main efforts in intelligent systems development is focused on knowledge and information management which is regarded as the crucial issue in smart decision making support. The 13 Chapters of this book represent a sample of such effort. The overall aim of this book is to provide guidelines to develop tools for smart processing of knowledge and information. Still, the guide does not presume to give ultimate answers. Rather, it poses ideas and case studies to explore and the complexities and challenges of modern knowledge management issues. It also encourages its reader to become aware of the multifaceted interdisciplinary character of such issues. The premise of this book is that its reader will leave it with a heightened ability to think - in different ways - about developing, evaluating, and supporting intelligent knowledge and information management systems in real life based environment.

Human Systems Management

Human Systems Management PDF

Author: Milan Zeleny

Publisher: World Scientific

Published: 2005-09-01

Total Pages: 484

ISBN-13: 9814488844

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Human Systems Management is an important work that integrates knowledge, management and systems into a unified world of thinking and action in business, decision-making and economics. It presents a modern synthesis of the fields of knowledge management, systems science and human organization. A biological rather than mechanistic perspective pervades the text. New and original ideas and approaches are presented with the simplicity and clarity typical of the well-known author. Contents:Production of Knowledge: Moving from Data and Information to Knowledge and WisdomManagement of Systems: Global Management ParadigmProducing Networks: Management and Self-Production in NetworksProducing Decisions: Multiple Criteria, Tradeoffs and ConflictsAttaining Wisdom: Wisdom of Management Systems Readership: Business managers, management scientists, business & management students, and business & management consultants. Keywords:Reviews:“Only an accomplished author like Dr Zeleny would dare reconcile business with art that is an art which recognizes the momentous changes which the organization has suffered in modern times … Professor Zeleny must be congratulated for his effort which extends common efforts to make the subjects of his text more meaningful and understandable.”John P van Gigch Professor Emeritus of Management and Systems California State University “Milan Zeleny is now the most cited Czech economist. Zeleny's long awaited book, 'HSM', is a vital leading indicator for 21st century management action, just as his work over 40 years ago still remains an inspiration to researchers in multi-criteria decision making.”Associate Professor Alan E Singer University of Canterbury “Professor Zeleny's emphasis on the importance of human coordination is highly illuminative, especially when it comes to the re-integration of knowledge, experiences and morality into wisdom, implying cultural enrichment and comprehensive human development, both of which are essential for sustainable development.”Professor Kensei Hiwaki Tokyo International University “It is well written and structured, with a minimum of mathematics, thus making it appealing to a broad audience. It provides numerous examples and anecdotes throughout … Overall, the book is easy to read, gives a good overview of the topic treated and encourages the reader to think outside the box.”Zentralblatt MATH

Decision-Making Support Systems: Achievements and Challenges for the New Decade

Decision-Making Support Systems: Achievements and Challenges for the New Decade PDF

Author: Mora, Manuel

Publisher: IGI Global

Published: 2002-07-01

Total Pages: 435

ISBN-13: 1591400805

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Annotation The book presents state-of-the-art knowledge about decision-making support systems (DMSS). Its main goals are to provide a compendium of quality chapters on decision-making support systems that help diffuse scarce knowledge about effective methods and strategies for successfully designing, developing, implementing, and evaluating decision-making support systems, and to create an awareness among readers about the relevance of decision-making support systems in the current complex and dynamic management environment.

Intelligent Decision Support Methods

Intelligent Decision Support Methods PDF

Author: Vasant Dhar

Publisher: Pearson

Published: 1997

Total Pages: 272

ISBN-13:

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This is a comprehensive explanation of how powerful technologies work in business, using a pragmatic business approach in describing when and how they should be used. Detailed case studies are provided in management information systems, information systems, computer science, and management. The text focuses on modeling techniques such as rules, case-based reasoning, fuzzy logic, neural nets, genetic algorhithms and machine learning.

Intelligent Spatial Decision Support Systems

Intelligent Spatial Decision Support Systems PDF

Author: Yee Leung

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 477

ISBN-13: 3642607144

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In the past half century, we have experienced two major waves of methodological development in the study of human behavior in space and time. The fIrst wave was the well known "quantitative revolution" which propelled geography from a mainly descriptive discipline to a scientifIc discipline using formalism such as probability, statistics, and a large-number of mathematical methods for analyzing spatial structures and processes under certainty and uncertainty. The second wave is the recent advancement of geographical information systems which equips geographers with automation in the storage, retrieval, analysis, and display of data. Both developments have significant impacts on geographical studies in general and solutions to real life spatio-temporal problems in particular. They have found applications in urban and regional planning, automated mapping and facilities management, transportation planning and management, as well as environmental planning and management, to name but a few examples. Both developments have one thing in common. They one way or the other use computer to process and analyze data. However, not until recently, there has been very little interaction between the two. Quantitative models have largely been developed independent of the underlying data models and structures representing the spatial phenomena or processes under study. Display of analysis results has been primitive in terms of the utilization of computer graphic technologies. Formal models, in addition to their technical difficulties, have poor capability in communication with users. Geographical information systems, on the other hand, have originally been developed with a slight intention to entertain powerful analytical models.