Imprecision And Uncertainty In Intelligent Systems

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Uncertainty Management in Information Systems

Author : Amihai Motro
Publisher : Springer Science & Business Media
ISBN 13 : 1461562457
Total Pages : 473 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Uncertainty Management in Information Systems by : Amihai Motro

Download or read book Uncertainty Management in Information Systems written by Amihai Motro and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information

Author : Zongmin Ma
Publisher : Springer
ISBN 13 : 3540330135
Total Pages : 221 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information by : Zongmin Ma

Download or read book Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information written by Zongmin Ma and published by Springer. This book was released on 2008-09-12 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer-based information technologies have been extensively used to help industries manage their processes and information systems hereby - come their nervous center. More specially, databases are designed to s- port the data storage, processing, and retrieval activities related to data management in information systems. Database management systems p- vide efficient task support and database systems are the key to impleme- ing industrial data management. Industrial data management requires da- base technique support. Industrial applications, however, are typically data and knowledge intensive applications and have some unique character- tics that makes their management difficult. Besides, some new techniques such as Web, artificial intelligence, and etc. have been introduced into - dustrial applications. These unique characteristics and usage of new te- nologies have put many potential requirements on industrial data mana- ment, which challenge today’s database systems and promote their evolvement. Viewed from database technology, information modeling in databases can be identified at two levels: (conceptual) data modeling and (logical) database modeling. This results in conceptual (semantic) data model and logical database model. Generally a conceptual data model is designed and then the designed conceptual data model will be transformed into a chosen logical database schema. Database systems based on logical database model are used to build information systems for data mana- ment. Much attention has been directed at conceptual data modeling of - dustrial information systems. Product data models, for example, can be views as a class of semantic data models (i. e.

Quantified Representation of Uncertainty and Imprecision

Author : Dov M. Gabbay
Publisher : Springer Science & Business Media
ISBN 13 : 9401717354
Total Pages : 476 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Quantified Representation of Uncertainty and Imprecision by : Dov M. Gabbay

Download or read book Quantified Representation of Uncertainty and Imprecision written by Dov M. Gabbay and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are happy to present the first volume of the Handbook of Defeasible Reasoning and Uncertainty Management Systems. Uncertainty pervades the real world and must therefore be addressed by every system that attempts to represent reality. The representation of uncertainty is a ma jor concern of philosophers, logicians, artificial intelligence researchers and com puter sciencists, psychologists, statisticians, economists and engineers. The present Handbook volumes provide frontline coverage of this area. This Handbook was produced in the style of previous handbook series like the Handbook of Philosoph ical Logic, the Handbook of Logic in Computer Science, the Handbook of Logic in Artificial Intelligence and Logic Programming, and can be seen as a companion to them in covering the wide applications of logic and reasoning. We hope it will answer the needs for adequate representations of uncertainty. This Handbook series grew out of the ESPRIT Basic Research Project DRUMS II, where the acronym is made out of the Handbook series title. This project was financially supported by the European Union and regroups 20 major European research teams working in the general domain of uncertainty. As a fringe benefit of the DRUMS project, the research community was able to create this Hand book series, relying on the DRUMS participants as the core of the authors for the Handbook together with external international experts.

Uncertainty in Artificial Intelligence

Author : Laveen N. Kanal
Publisher : North Holland
ISBN 13 : 9780444700582
Total Pages : 509 pages
Book Rating : 4.7/5 (5 download)

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Book Synopsis Uncertainty in Artificial Intelligence by : Laveen N. Kanal

Download or read book Uncertainty in Artificial Intelligence written by Laveen N. Kanal and published by North Holland. This book was released on 1986 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hardbound. How to deal with uncertainty is a subject of much controversy in Artificial Intelligence. This volume brings together a wide range of perspectives on uncertainty, many of the contributors being the principal proponents in the controversy.Some of the notable issues which emerge from these papers revolve around an interval-based calculus of uncertainty, the Dempster-Shafer Theory, and probability as the best numeric model for uncertainty. There remain strong dissenting opinions not only about probability but even about the utility of any numeric method in this context.

Uncertainty Modelling in Data Science

Author : Sébastien Destercke
Publisher : Springer
ISBN 13 : 3319975471
Total Pages : 246 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Uncertainty Modelling in Data Science by : Sébastien Destercke

Download or read book Uncertainty Modelling in Data Science written by Sébastien Destercke and published by Springer. This book was released on 2018-07-24 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features 29 peer-reviewed papers presented at the 9th International Conference on Soft Methods in Probability and Statistics (SMPS 2018), which was held in conjunction with the 5th International Conference on Belief Functions (BELIEF 2018) in Compiègne, France on September 17–21, 2018. It includes foundational, methodological and applied contributions on topics as varied as imprecise data handling, linguistic summaries, model coherence, imprecise Markov chains, and robust optimisation. These proceedings were produced using EasyChair. Over recent decades, interest in extensions and alternatives to probability and statistics has increased significantly in diverse areas, including decision-making, data mining and machine learning, and optimisation. This interest stems from the need to enrich existing models, in order to include different facets of uncertainty, like ignorance, vagueness, randomness, conflict or imprecision. Frameworks such as rough sets, fuzzy sets, fuzzy random variables, random sets, belief functions, possibility theory, imprecise probabilities, lower previsions, and desirable gambles all share this goal, but have emerged from different needs. The advances, results and tools presented in this book are important in the ubiquitous and fast-growing fields of data science, machine learning and artificial intelligence. Indeed, an important aspect of some of the learned predictive models is the trust placed in them. Modelling the uncertainty associated with the data and the models carefully and with principled methods is one of the means of increasing this trust, as the model will then be able to distinguish between reliable and less reliable predictions. In addition, extensions such as fuzzy sets can be explicitly designed to provide interpretable predictive models, facilitating user interaction and increasing trust.

Intelligent Systems Design and Applications

Author : Ajith Abraham
Publisher : Springer Nature
ISBN 13 : 303096308X
Total Pages : 1461 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Intelligent Systems Design and Applications by : Ajith Abraham

Download or read book Intelligent Systems Design and Applications written by Ajith Abraham and published by Springer Nature. This book was released on 2022-03-26 with total page 1461 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent research on intelligent systems and nature-inspired computing. It presents 132 selected papers from the 21st International Conference on Intelligent Systems Design and Applications (ISDA 2021), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 34 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.

Readings in Fuzzy Sets for Intelligent Systems

Author : Didier J. Dubois
Publisher : Morgan Kaufmann
ISBN 13 : 1483214508
Total Pages : 929 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Readings in Fuzzy Sets for Intelligent Systems by : Didier J. Dubois

Download or read book Readings in Fuzzy Sets for Intelligent Systems written by Didier J. Dubois and published by Morgan Kaufmann. This book was released on 2014-05-12 with total page 929 pages. Available in PDF, EPUB and Kindle. Book excerpt: Readings in Fuzzy Sets for Intelligent Systems is a collection of readings that explore the main facets of fuzzy sets and possibility theory and their use in intelligent systems. Basic notions in fuzzy set theory are discussed, along with fuzzy control and approximate reasoning. Uncertainty and informativeness, information processing, and membership, cognition, neural networks, and learning are also considered. Comprised of eight chapters, this book begins with a historical background on fuzzy sets and possibility theory, citing some forerunners who discussed ideas or formal definitions very close to the basic notions introduced by Lotfi Zadeh (1978). The reader is then introduced to fundamental concepts in fuzzy set theory, including symmetric summation and the setting of fuzzy logic; uncertainty and informativeness; and fuzzy control. Subsequent chapters deal with approximate reasoning; information processing; decision and management sciences; and membership, cognition, neural networks, and learning. Numerical methods for fuzzy clustering are described, and adaptive inference in fuzzy knowledge networks is analyzed. This monograph will be of interest to both students and practitioners in the fields of computer science, information science, applied mathematics, and artificial intelligence.

Artificial Intelligence Techniques in Power Systems

Author : Kevin Warwick
Publisher : IET
ISBN 13 : 9780852968970
Total Pages : 324 pages
Book Rating : 4.9/5 (689 download)

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Book Synopsis Artificial Intelligence Techniques in Power Systems by : Kevin Warwick

Download or read book Artificial Intelligence Techniques in Power Systems written by Kevin Warwick and published by IET. This book was released on 1997 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The intention of this book is to give an introduction to, and an overview of, the field of artificial intelligence techniques in power systems, with a look at various application studies.

Uncertainty in Engineering

Author : Louis J. M. Aslett
Publisher : Springer Nature
ISBN 13 : 3030836401
Total Pages : 148 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Uncertainty in Engineering by : Louis J. M. Aslett

Download or read book Uncertainty in Engineering written by Louis J. M. Aslett and published by Springer Nature. This book was released on 2022 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides an introduction to uncertainty quantification in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo methods, followed by material on imprecise probabilities, it then focuses on reliability theory and simulation methods for complex systems. The final two chapters discuss various aspects of aerospace engineering, considering stochastic model updating from an imprecise Bayesian perspective, and uncertainty quantification for aerospace flight modelling. Written by experts in the subject, and based on lectures given at the Second Training School of the European Research and Training Network UTOPIAE (Uncertainty Treatment and Optimization in Aerospace Engineering), which took place at Durham University (United Kingdom) from 2 to 6 July 2018, the book offers an essential resource for students as well as scientists and practitioners.

Technologies for Constructing Intelligent Systems 1

Author : Bernadette Bouchon-Meunier
Publisher : Physica
ISBN 13 : 379081797X
Total Pages : 404 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis Technologies for Constructing Intelligent Systems 1 by : Bernadette Bouchon-Meunier

Download or read book Technologies for Constructing Intelligent Systems 1 written by Bernadette Bouchon-Meunier and published by Physica. This book was released on 2013-03-20 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent systems enhance the capacities made available by the internet and other computer-based technologies. This book deals with the theory behind the solutions to difficult problems in the construction of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of linguistic nature. Various methodologies for these cases are discussed, among which are probabilistic, possibilistic, fuzzy, logical, evidential and network-based frameworks. One purpose of the book is to consider how these methods can be used cooperatively. Topics included in the book include fundamental issues in uncertainty, the rapidly emerging discipline of information aggregation, neural networks, bayesian networks and other network methods, as well as logic-based systems.

Intelligent Systems: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1522556443
Total Pages : 2390 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Intelligent Systems: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Intelligent Systems: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2018-06-04 with total page 2390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ongoing advancements in modern technology have led to significant developments in intelligent systems. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Intelligent Systems: Concepts, Methodologies, Tools, and Applications contains a compendium of the latest academic material on the latest breakthroughs and recent progress in intelligent systems. Including innovative studies on information retrieval, artificial intelligence, and software engineering, this multi-volume book is an ideal source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of intelligent systems.

Intelligent Systems and Soft Computing

Author : Behnam Azvine
Publisher : Springer
ISBN 13 : 3540449175
Total Pages : 372 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Intelligent Systems and Soft Computing by : Behnam Azvine

Download or read book Intelligent Systems and Soft Computing written by Behnam Azvine and published by Springer. This book was released on 2006-12-30 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence has, traditionally focused on solving human-centered problems like natural language processing or common-sense reasoning. On the other hand, for a while now soft computing has been applied successfully in areas like pattern recognition, clustering, or automatic control. The papers in this book explore the possibility of bringing these two areas together. This book is unique in the way it concentrates on building intelligent software systems by combining methods from diverse disciplines, such as fuzzy set theory, neuroscience, agent technology, knowledge discovery, and symbolic artificial intelligence. The first part of the book focuses on foundational aspects and future directions; the second part provides the reader with an overview of recently developed software tools for building flexible intelligent systems; the final section studies developed applications in various fields.

Intelligent Systems: Safety, Reliability and Maintainability Issues

Author : Okyay Kaynak
Publisher : Springer Science & Business Media
ISBN 13 : 9783540569930
Total Pages : 364 pages
Book Rating : 4.5/5 (699 download)

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Book Synopsis Intelligent Systems: Safety, Reliability and Maintainability Issues by : Okyay Kaynak

Download or read book Intelligent Systems: Safety, Reliability and Maintainability Issues written by Okyay Kaynak and published by Springer Science & Business Media. This book was released on 1993-11-30 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of some of the papers that were presented during a NATO Advanced Research Workshop (ARW) on "Intelligent Systems: Safety, Reliability and Maintainability Issues" that was held in Kusadasi, Turkey during August 24- 28, 1992. Attendance at this workshop was mainly by invitation only, drawing people internationally representing industry, government and the academic community. Many of the participants were internationally recognized leaders in the topic of the workshop. The purpose of the ARW was to bring together a highly distinguished group of people with the express purpose of debating where the issues of safety, reliability and maintainability place direct and tangible constraints on the development of intelligent systems. As a consequence, one of the major debating points in the ARW was the definition of intelligence, intelligent behaviour and their relation to complex dynamic systems. Two major conclusions evolved from the ARW are: 1. A continued need exists to develop formal, theoretical frameworks for the architecture of such systems, together with a reflection on the concept of intelligence. 2. There is a need to focus greater attention to the role that the human play in controlling intelligent systems. The workshop began by considering the typical features of an intelligent system. The complexity associated with multi-resolutional architectures was then discussed, leading to the identification of a necessity for the use of a combinatorial synthesis/approach. This was followed by a session on human interface issues.

Artificial Intelligence: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 152251760X
Total Pages : 3095 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Artificial Intelligence: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Artificial Intelligence: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2016-12-12 with total page 3095 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.

Advances in Intelligent Systems

Author : Francesco Carlo Morabito
Publisher : IOS Press
ISBN 13 : 9789051993554
Total Pages : 566 pages
Book Rating : 4.9/5 (935 download)

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Book Synopsis Advances in Intelligent Systems by : Francesco Carlo Morabito

Download or read book Advances in Intelligent Systems written by Francesco Carlo Morabito and published by IOS Press. This book was released on 1997 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Systems can be defined as systems whose design, mainly based on computational techniques, is supported, in some parts, by operations and processing skills inspired by human reasoning and behaviour. Intelligent Systems must typically operate in a scenario in which non-linearities are the rule and not as a disturbing effect to be corrected. Finally, Intelligent Systems also have to incorporate advanced sensory technology in order to simplify man-machine interactions. Several algorithms are currently the ordinary tools of Intelligent Systems. This book contains a selection of contributions regarding Intelligent Systems by experts in diverse fields. Topics discussed in the book are: Applications of Intelligent Systems in Modelling and Prediction of Environmental Changes, Cellular Neural Networks for NonLinear Filtering, NNs for Signal Processing, Image Processing, Transportation Intelligent Systems, Intelligent Techniques in Power Electronics, Applications in Medicine and Surgery, Hardware Implementation and Learning of NNs.

Rough Sets and Intelligent Systems Paradigms

Author : Marzena Kryszkiewicz
Publisher : Springer Science & Business Media
ISBN 13 : 3540734503
Total Pages : 854 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Rough Sets and Intelligent Systems Paradigms by : Marzena Kryszkiewicz

Download or read book Rough Sets and Intelligent Systems Paradigms written by Marzena Kryszkiewicz and published by Springer Science & Business Media. This book was released on 2007-06-18 with total page 854 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Conference on Rough Sets and Emerging Intelligent Systems Paradigms, RSEISP 2007, held in Warsaw, Poland in June 2007 - dedicated to the memory of Professor Zdzislaw Pawlak. The 73 revised full papers papers presented together with 2 keynote lectures and 11 invited papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on foundations of rough sets, foundations and applications of fuzzy sets, granular computing, algorithmic aspects of rough sets, rough set applications, rough/fuzzy approach, information systems and rough sets, data and text mining, machine learning, hybrid methods and applications, multiagent systems, applications in bioinformatics and medicine, multimedia applications, as well as web reasoning and human problem solving.

Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications

Author : Okyay Kaynak
Publisher : Springer Science & Business Media
ISBN 13 : 3642589308
Total Pages : 552 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications by : Okyay Kaynak

Download or read book Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications written by Okyay Kaynak and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing is a consortium of computing methodologies that provide a foundation for the conception, design, and deployment of intelligent systems and aims to formalize the human ability to make rational decisions in an environment of uncertainty and imprecision. This book is based on a NATO Advanced Study Institute held in 1996 on soft computing and its applications. The distinguished contributors consider the principal constituents of soft computing, namely fuzzy logic, neurocomputing, genetic computing, and probabilistic reasoning, the relations between them, and their fusion in industrial applications. Two areas emphasized in the book are how to achieve a synergistic combination of the main constituents of soft computing and how the combination can be used to achieve a high Machine Intelligence Quotient.