Uncertainty Management In Information Systems

Author : Amihai Motro,Philippe Smets
Publisher : Springer Science & Business Media
Page : 473 pages
File Size : 54,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461562450

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Uncertainty Management in Information Systems by Amihai Motro,Philippe Smets Pdf

As its title suggests, "Uncertainty Management in Information Systems" is a book about how information systems can be made to manage information permeated with uncertainty. This subject is at the intersection of two areas of knowledge: information systems is an area that concentrates on the design of practical systems that can store and retrieve information; uncertainty modeling is an area in artificial intelligence concerned with accurate representation of uncertain information and with inference and decision-making under conditions infused with uncertainty. New applications of information systems require stronger capabilities in the area of uncertainty management. Our hope is that lasting interaction between these two areas would facilitate a new generation of information systems that will be capable of servicing these applications. Although there are researchers in information systems who have addressed themselves to issues of uncertainty, as well as researchers in uncertainty modeling who have considered the pragmatic demands and constraints of information systems, to a large extent there has been only limited interaction between these two areas. As the subtitle, "From Needs to Solutions," indicates, this book presents view points of information systems experts on the needs that challenge the uncer tainty capabilities of present information systems, and it provides a forum to researchers in uncertainty modeling to describe models and systems that can address these needs.

Author : Amihai Motro,Philippe Smets
Publisher : Springer Science & Business Media
Page : 490 pages
File Size : 45,5 Mb
Release : 1996-12-31
Category : Business & Economics
ISBN : 0792398033

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Uncertainty Management in Information Systems by Amihai Motro,Philippe Smets Pdf

Uncertainty Management in Information Systems: From Needs to Solutions is a book about how information systems can be made to manage information permeated with uncertainty. This subject is at the intersection of two areas of knowledge: information systems is an area that concentrates on the design of practical systems that can store and retrieve information; uncertainty modeling is an area in artificial intelligence concerned with accurate representation of uncertain information and with inference and decision-making under conditions infused with uncertainty. The first part of this book describes issues and challenges in the area of imperfect information that confront information systems, and the second part covers the principal theories for modeling imperfect information, and shows how these theories may be adapted to information systems. All chapters are original contributions and present solutions that have been applied and the experiences that have been gained from those solutions. The material has been closely edited by the book's editors for content, consistency and style. This authoritative book is state-of-the-art coverage of `Uncertainty Management in Information Systems'.

Author : Gudela Grote
Publisher : Springer Science & Business Media
Page : 199 pages
File Size : 41,5 Mb
Release : 2009-09-17
Category : Business & Economics
ISBN : 9781848823730

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Management of Uncertainty by Gudela Grote Pdf

As I write, the financial systems of the world are collapsing with still no clear indication of what the consequences will be and which measures should be taken to avoid such a crisis in the future. There seems to be agreement though, that the financial instruments introduced in the past few decades entailed far too much complexity and uncertainty and that there was too little regulatory control over the use of these instruments. Management of uncertainty with the aim of achieving self-control is the core concern of this book. It was not written with a focus on financial systems, but many concepts developed in this book are applicable to this field as well. The - neric principles of reducing, maintaining or increasing uncertainties in view of the different contingencies an organization is faced with, the fundamental issue of how much control is possible and who should be in control, and the question of how much and what kind of regulation is necessary with the overall aim of finding an appropriate balance between system stability and flexibility are at the centre of heated debates on the future of finance.

Author : Jesús Medina,Manuel Ojeda-Aciego,José Luis Verdegay,David A. Pelta,Inma P. Cabrera,Bernadette Bouchon-Meunier,Ronald R. Yager
Publisher : Springer
Page : 0 pages
File Size : 41,5 Mb
Release : 2018-05-18
Category : Computers
ISBN : 3319914723

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations by Jesús Medina,Manuel Ojeda-Aciego,José Luis Verdegay,David A. Pelta,Inma P. Cabrera,Bernadette Bouchon-Meunier,Ronald R. Yager Pdf

This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cádiz, Spain, in June 2018. The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in topical sections on advances on explainable artificial intelligence; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe time series; discrete models and computational intelligence; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy logic and artificial intelligence problems; fuzzy mathematical analysis and applications; fuzzy methods in data mining and knowledge discovery; fuzzy transforms: theory and applications to data analysis and image processing; imprecise probabilities: foundations and applications; mathematical fuzzy logic, mathematical morphology; measures of comparison and entropies for fuzzy sets and their extensions; new trends in data aggregation; pre-aggregation functions and generalized forms of monotonicity; rough and fuzzy similarity modelling tools; soft computing for decision making in uncertainty; soft computing in information retrieval and sentiment analysis; tri-partitions and uncertainty; decision making modeling and applications; logical methods in mining knowledge from big data; metaheuristics and machine learning; optimization models for modern analytics; uncertainty in medicine; uncertainty in Video/Image Processing (UVIP).

Author : Sergio Greco,Thomas Lukasiewicz
Publisher : Springer Science & Business Media
Page : 411 pages
File Size : 44,7 Mb
Release : 2008-09-19
Category : Computers
ISBN : 9783540879923

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Scalable Uncertainty Management by Sergio Greco,Thomas Lukasiewicz Pdf

This book constitutes the refereed proceedings of the Second International Conference on Scalable Uncertainty Management, SUM 2008, held in Naples, Italy, in Oktober 2008. The 27 revised full papers presented together with the extended abstracts of 3 invited talks/tutorials were carefully reviewed and selected from 42 submissions. The papers address artificial intelligence researchers, database researchers, and practitioners to demonstrate theoretical techniques required to manage the uncertainty that arises in large scale real world applications and to cope with large volumes of uncertainty and inconsistency in databases, the Web, the semantic Web, and artificial intelligence in general.

Author : Tatyana Yakhno
Publisher : Springer
Page : 460 pages
File Size : 43,8 Mb
Release : 2003-06-26
Category : Computers
ISBN : 9783540408888

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Advances in Information Systems by Tatyana Yakhno Pdf

This volume contains the proceedings of the First International Conference on Advances in Information Systems (ADVIS) held in Izmir (Turkey), 25{27 October, 2000. This conference was dedicated to the memory of Professor Esen Ozkarahan. He was great researcher who made an essential contribution to the development of information systems. This conference was organized by the Computer - gineering Department of Dokuz Eylul University of Izmir. This department was established in 1994 by the founding chairman Professor Ozkarahan and there he worked for the last ve years of his live. The main goal of the conference was to bring together researchers from all around the world working in di erent areas of information systems to share new ideas and to represent their latest results. We received 80 submissions from 30 countries. The Program Committee selected 44 papers for presentation at the conference. The invited and accepted contributions cover a large variety of topics: - neral aspects of information systems, data bases, data warehousing, computer networks, Internet technologies, content-based image retrieval, information - trieval, constraint programming and arti cial intelligence. The success of the conference was dependent upon the hard work of a large number of people. We gratefully acknowledge the members of the Program C- mittee who helped to coordinate the process of refereeing all submitted papers. We also thank all the other specialists who reviewed the papers.

Author : Marie-Jeanne Lesot,Susana Vieira,Marek Z. Reformat,João Paulo Carvalho,Anna Wilbik,Bernadette Bouchon-Meunier,Ronald R. Yager
Publisher : Springer
Page : 753 pages
File Size : 47,6 Mb
Release : 2020-06-06
Category : Computers
ISBN : 3030501450

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Information Processing and Management of Uncertainty in Knowledge-Based Systems by Marie-Jeanne Lesot,Susana Vieira,Marek Z. Reformat,João Paulo Carvalho,Anna Wilbik,Bernadette Bouchon-Meunier,Ronald R. Yager Pdf

This three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually. The 173 papers were carefully reviewed and selected from 213 submissions. The papers are organized in topical sections: homage to Enrique Ruspini; invited talks; foundations and mathematics; decision making, preferences and votes; optimization and uncertainty; games; real world applications; knowledge processing and creation; machine learning I; machine learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied aspects of imprecise probabilities; similarities in artificial intelligence; belief function theory and its applications; aggregation: theory and practice; aggregation: pre-aggregation functions and other generalizations of monotonicity; aggregation: aggregation of different data structures; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication functions; soft methods in statistics and data analysis; image understanding and explainable AI; fuzzy and generalized quantifier theory; mathematical methods towards dealing with uncertainty in applied sciences; statistical image processing and analysis, with applications in neuroimaging; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical fuzzy logic and graded reasoning models; formal concept analysis, rough sets, general operators and related topics; computational intelligence methods in information modelling, representation and processing.

Author : Nouran M. Radwan,M. Badr Senousy,Alaa El Din M. Riad
Publisher : Infinite Study
Page : 10 pages
File Size : 44,9 Mb
Release : 2024-07-01
Category : Electronic
ISBN : 8210379456XXX

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Approaches for Managing Uncertainty in Learning Management Systems by Nouran M. Radwan,M. Badr Senousy,Alaa El Din M. Riad Pdf

The notion of uncertainty in expert systems is dealing with vague data, incomplete information, and imprecise knowledge. Different uncertainty types which are imprecision, vagueness, ambiguity, and inconsistence need different handling models. Uncertain knowledge representation and analysis is an essential issue.

Author : Eyke Hüllermeier,Sebastian Link,Thomas Fober,Bernhard Seeger
Publisher : Springer
Page : 662 pages
File Size : 43,5 Mb
Release : 2012-09-11
Category : Computers
ISBN : 9783642333620

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Scalable Uncertainty Management by Eyke Hüllermeier,Sebastian Link,Thomas Fober,Bernhard Seeger Pdf

This book constitutes the refereed proceedings of the 6th International Conference on Scalable Uncertainty Management, SUM 2012, held in Marburg, Germany, in September 2012. The 41 revised full papers and 13 revised short papers were carefully reviewed and selected from 75 submissions. The papers cover topics in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information including applications in decision support systems, machine learning, negotiation technologies, semantic web applications, search engines, ontology systems, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.

Author : Weiru Liu,V S Subrahmanian,Jef Wijsen
Publisher : Springer
Page : 399 pages
File Size : 47,6 Mb
Release : 2013-09-10
Category : Computers
ISBN : 9783642403811

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Scalable Uncertainty Management by Weiru Liu,V S Subrahmanian,Jef Wijsen Pdf

This book constitutes the refereed proceedings of the 7th International Conference on Scalable Uncertainty Management, SUM 2013, held in Washington, DC, USA, in September 2013. The 26 revised full papers and 3 revised short papers were carefully reviewed and selected from 57 submissions. The papers cover topics in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information including applications in decision support systems, machine learning, negotiation technologies, semantic web applications, search engines, ontology systems, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.

Author : Giancarlo Guizzardi
Publisher : Springer Nature
Page : 644 pages
File Size : 55,6 Mb
Release : 2024-07-01
Category : Electronic
ISBN : 9783031610578

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Advanced Information Systems Engineering by Giancarlo Guizzardi Pdf

Author : Gabriella Dellino,Carlo Meloni
Publisher : Springer
Page : 271 pages
File Size : 53,7 Mb
Release : 2015-06-29
Category : Business & Economics
ISBN : 9781489975478

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Uncertainty Management in Simulation-Optimization of Complex Systems by Gabriella Dellino,Carlo Meloni Pdf

​This book aims at illustrating strategies to account for uncertainty in complex systems described by computer simulations. When optimizing the performances of these systems, accounting or neglecting uncertainty may lead to completely different results; therefore, uncertainty management is a major issues in simulation-optimization. Because of its wide field of applications, simulation-optimization issues have been addressed by different communities with different methods, and from slightly different perspectives. Alternative approaches have been developed, also depending on the application context, without any well-established method clearly outperforming the others. This editorial project brings together — as chapter contributors — researchers from different (though interrelated) areas; namely, statistical methods, experimental design, stochastic programming, global optimization, metamodeling, and design and analysis of computer simulation experiments. Editors’ goal is to take advantage of such a multidisciplinary environment, to offer to the readers a much deeper understanding of the commonalities and differences of the various approaches to simulation-based optimization, especially in uncertain environments. Editors aim to offer a bibliographic reference on the topic, enabling interested readers to learn about the state-of-the-art in this research area, also accounting for potential real-world applications to improve also the state-of-the-practice. Besides researchers and scientists of the field, the primary audience for the proposed book includes PhD students, academic teachers, as well as practitioners and professionals. Each of these categories of potential readers present adequate channels for marketing actions, e.g. scientific, academic or professional societies, internet-based communities, and authors or buyers of related publications.​

Author : Van-Nam Huynh,Yoshiteru Nakamori,Jonathan Lawry,Masahiro Inuiguchi
Publisher : Springer Science & Business Media
Page : 569 pages
File Size : 43,7 Mb
Release : 2010-03-26
Category : Technology & Engineering
ISBN : 9783642119606

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Integrated Uncertainty Management and Applications by Van-Nam Huynh,Yoshiteru Nakamori,Jonathan Lawry,Masahiro Inuiguchi Pdf

Solving practical problems often requires the integration of information and knowledge from many different sources, taking into account uncertainty and impreciseness. The 2010 International Symposium on Integrated Uncertainty Management and Applications (IUM’2010), which takes place at the Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, Japan, between 9th–11th April, is therefore conceived as a forum for the discussion and exchange of research results, ideas for and experience of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.

Author : Serafín Moral,Olivier Pivert,Daniel Sánchez,Nicolás Marín
Publisher : Springer
Page : 438 pages
File Size : 44,5 Mb
Release : 2017-09-20
Category : Computers
ISBN : 9783319675824

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Scalable Uncertainty Management by Serafín Moral,Olivier Pivert,Daniel Sánchez,Nicolás Marín Pdf

This book constitutes the refereed proceedings of the 11th International Conference on Scalable Uncertainty Management, SUM 2017, which was held in Granada, Spain, in October 2017. The 24 full and 6 short papers presented in this volume were carefully reviewed and selected from 35 submissions. The book also contains 3 invited papers. Managing uncertainty and inconsistency has been extensively explored in Artificial Intelligence over a number of years. Now, with the advent of massive amounts of data and knowledge from distributed, heterogeneous, and potentially conflicting sources, there is interest in developing and applying formalisms for uncertainty and inconsistency in systems that need to better manage this data and knowledge. The International Conference on Scalable Uncertainty (SUM) aims to provide a forum for researchers who are working on uncertainty management, in different communities and with different uncertainty models, to meet and exchange ideas.

Author : Tamara Afifi,Walid Afifi
Publisher : Routledge
Page : 449 pages
File Size : 51,5 Mb
Release : 2015-12-22
Category : Language Arts & Disciplines
ISBN : 9781135890568

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Uncertainty, Information Management, and Disclosure Decisions by Tamara Afifi,Walid Afifi Pdf

This volume integrates scholarly work on disclosure and uncertainty with the most up-to-date, cutting edge research, theories, and applications. Uncertainty is an ever-present part of human relationships, and the ways in which people reduce and/or manage uncertainty involves regulating their communication with others through revealing and concealing information. This collection is devoted to collating knowledge in these areas, advancing theory and presenting work that is socially meaningful. This work includes contributions from renowned scholars in interpersonal uncertainty and information regulation, focusing on processes that bridge boundaries within and across disciplines, while maintaining emphasis on interpersonal contexts. Disciplines represented here include interpersonal, family, and health communication, as well as relational and social psychology. Key features of the volume include: comprehensive coverage integrating the latest research on disclosure, information seeking, and uncertainty a highly theoretical content, socially meaningful in nature (applied to real-world contexts) an interdisciplinary approach that crosses sub-fields within communication. This volume is a unique and timely resource for advanced study in interpersonal, health, or family communication. With its emphasis on theory, the book is an excellent resource for graduate courses addressing theory and/or theory construction, and it will also appeal to scholars interested in applied research.