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Web Reasoning and Rule Systems ; 1st International Conference, RR 2007, Innsbruck, Austria, June 7-8, 2007, Proceedings
It address all current topics in Web reasoning and rule systems, including acquisition of rules and ontologies by knowledge extraction, design and analysis of reasoning languages, reasoning with constraints, rule languages and systems, semantic Web services modeling and applications.
Uncertainty Theory
Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, and countable subadditivity axioms. The goal of uncertainty theory is to study the behavior of uncertain phenomena such as fuzziness and randomness. The main topics include probability theory, credibility theory, and chance theory. For this new edition the entire text has been totally rewritten. More importantly, the chapters on chance theory and uncertainty theory are completely new. This book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory. The purpose is to equip the readers with an axiomatic approach to deal with uncertainty. Mathematicians, researchers, engineers, designers, and students in the field of mathematics, information science, operations research, industrial engineering, computer science, artificial intelligence, and management science will find this work a stimulating and useful reference.
Uncertainty Reasoning for the Semantic Web I ; ISWC International Workshops, URSW 2005-2007, Revised Selected and Invited Papers
Represents the first comprehensive compilation of state-of-the-art research approaches to uncertainty reasoning in the context of the semantic Web, capturing different models of uncertainty and approaches to deductive as well as inductive reasoning with uncertain formal knowledge.
Uncertainty Forecasting in Engineering
Deals with uncertainty forecasting based on a fuzzy time series approach, including fuzzy random processes and artificial neural networks. A consideration of data and measurement uncertainty enhances forecasting in a wide range of applications, particularly in the fields of engineering, environmental science and civil engineering.Uncertain data are described by means of a new incremental fuzzy representation which permits a complete and accurate estimation of uncertainty.
Ubiquitous Intelligence and Computing ; 4th International Conference, UIC 2007, Hong Kong, China, July 11-13, 2007, Proceedings
This book constitutes the refereed proceedings of the 4th International Conference on Ubiquitous Intelligence and Computing held in Hong Kong, China in 2007, co-located with ATC 2007, the 4th International Conference on Autonomic and Trusted Computing.
Type-2 Fuzzy Logic : Theory and Applications
Describes new methods for building intelligent systems using type-2 fuzzy logic and soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including type-1 fuzzy logic, neural networks, and genetic algorithms, which can be used to create powerful hybrid intelligent systems. The authors extends the use of fuzzy logic to a higher order, which is called type-2 fuzzy logic. Combining type-2 fuzzy logic with traditional SC techniques, we can build powerful hybrid intelligent systems that can use the advantages that each technique offers. We consider in this book the use of type-2 fuzzy logic and traditional SC techniques to solve pattern recognition problems in realworld applications.
Two Minds : Intuition and Analysis in the History of Economic Thought
Intuition is warm and fuzzy, qualitative, not measurable. Economics, on the other hand, is quantitative, and if it is not a hard science, at least it is the "queen of the social sciences." It is, therefore, intuitively obvious, that intuition and economics are as if oil and water. The problem is, what is intuitively obvious is not always correct. And, there are two major reasons why intuition and economics are not like oil and water. First, economics concerns itself with decision making, and decisions are made in the brain. The human brain is the size of a grapefruit, weighing three pounds with approximately 180 billion neurons, each physically independent but interacting with the other neurons. What we call intuition is, like decision making, a natural information processing function of the brain. Second, despite the current emphasis on quantitative analysis and deductive logic there is a rich history of economists speaking about intuition. First, the human brain, specifically the neocortex, has a left and right hemisphere. The specialized analytical style of the left hemisphere and the specialized intuitive style of the right hemispheres complement each other.
Trends in Intelligent Systems and Computer Engineering
This volume addresses the demand for theories and applications of intelligent systems and computer engineering to meet the needs of rapidly developing high technologies.Topics covered in this book include: - Automated Planning - Expert Systems - Machine Learning - Fuzzy Systems - Knowledge-based Systems - Computer Systems Organization - Computing Methodologies
Trends and Applications in Constructive Approximation
This volume contains contributions from international experts in the fields of constructive approximation. This area has reached out to encompass the computational and approximation-theoretical aspects of various interesting fields in applied mathematics.
Transactions on Rough Sets VI : Commemorating Life and Work of Zdislaw Pawlak ; Part I
This volume introduces a number of new advances in the foundations and applications of artificial intelligence, engineering, logic, mathematics, and science. These advances have significant implications in a number of research areas such as the foundations of rough sets, approximate reasoning, bioinformatics, computational intelligence, cognitive science, data mining, information systems, intelligent systems, machine intelligence, and security. In addition, it is evident from the papers included in this volume that rough set theory and its application form a very active research area worldwide.
Transactions on Rough Sets V
Volume V of the Transactions on Rough Sets (TRS) is dedicated to the monu-mental life and work of Zdzis law Pawlak1. During the past 35 years, This volume continues the traditionbegun with earlier volumes of the TRS series and introduces a number of newadvances in the foundations and application of rough sets. These advances haveprofound implications in a number of research areas such as adaptive learning,approximate reasoning and belief systems, approximation spaces, Boolean rea-soning, classification methods, classifiers, concept analysis, data mining, decisionlogic, decision rule importance measures, digital image processing, recognitionof emotionally-charged gestures in animations, flow graphs, Kansei engineering,movie sound track restoration, multicriteria decision analysis, relational informa-tion systems, rough-fuzzy sets, rough measures, signal processing, variable pre-cision rough set model, and video retrieval.
Transactions on Rough Sets IV
Volume IV of the Transactions on Rough Sets (TRS) introduces a number of new advances in the theory and application of rough sets. Rough sets and - proximationspaceswereintroducedmorethan30yearsagobyZdzis lawPawlak. These advances have profound implications in a number of research areas such as the foundations of rough sets, approximate reasoning, arti?cial intelligence, bioinformatics,computationalintelligence, cognitivescience, intelligentsystems, datamining,machineintelligence,andsecurity. Inaddition,itisevidentfromthe papers included in this volume that the foundations and applications of rough sets is a very active research area worldwide.
Transactions on Rough Sets III
The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. This third volume of the Transactions on Rough Sets presents 11 revised papers that have been through a careful peer reviewing process by the journal's Editorial Board. The research monograph "Time Complexity of Decision Trees" by Mikhail Ju. Moshkov is presented in the section on dissertation and monographs. Among the regular papers the one by Zdzislaw Pawlak entitled "Flow Graphs and Data Mining" deserves a special mention.
Transactions on Rough Sets II : Rough Sets and Fuzzy Sets
The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, starting from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness and incompleteness, such as fuzzy sets and theory of evidence. This second volume of the Transactions on Rough Sets presents 17 thoroughly reviewed revised papers devoted to rough set theory, fuzzy set theory; these papers highlight important aspects of these theories, their interrelation and application in various fields.
Transactions on Computational Science II
Transactions on Computational Science II is devoted to the subject of denotational mathematics for computational intelligence. Denotational mathematics, as a counterpart of conventional analytic mathematics, is a category of expressive mathematical structures that deals with high-level mathematical entities beyond numbers and sets, such as abstract objects, complex relations, behavioral information, concepts, knowledge, processes, granules, and systems. This volume includes 12 papers covering the following four important areas: foundations and applications of denotational mathematics; rough and fuzzy set theories; granular computing; and knowledge and information modeling.
Towards a New Evolutionary Computation : Advances on Estimation of Distribution Algorithms
This is a nicely edited volume on Estimation of Distribution Algorithms (EDAs) by leading researchers on this important topic.
Theory and Applications of Relational Structures as Knowledge Instruments II ; International Workshops of COST Action 274, TARSKI, 2002-2005, Selected Revised Papers
This book is a follow-up of LNCS volume 2929 with the same title, and presents the major results of COST action 274 (2002-2005), TARSKI: Theory and - plications of Relational Structures as Knowledge Instruments. Relational structures abound in the daily environment: relational databases, data-mining, scaling procedures, preference relations, etc. Reasoning about, and with, relations has a long-standing European tradition, which may be divided into three broad areas: 1. Algebraic Logic: algebras of relations, relational semantics, and algebras and logics derived from information systems. 2. Computational Aspects of Automated Relational Reasoning: decidability and complexity of algorithms, network satisfaction. 3. Applications: social choice, AI, linguistics, psychology, economics, etc. The main objective of the ?rst TARSKI book (LNCS 2929) was to advance the understanding of relational structures and the use of relational methods in applicable object domains.
Theory and Applications of Ordered Fuzzy Numbers : A Tribute to Professor Witold Kosiński
This open access book offers comprehensive coverage on Ordered Fuzzy Numbers, providing readers with both the basic information and the necessary expertise to use them in a variety of real-world applications. The respective chapters, written by leading researchers, discuss the main techniques and applications, together with the advantages and shortcomings of these tools in comparison to other fuzzy number representation models. Primarily intended for engineers and researchers in the field of fuzzy arithmetic, the book also offers a valuable source of basic information on fuzzy models and an easy-to-understand reference guide to their applications for advanced undergraduate students, operations researchers, modelers and managers alike.
Theoretical Advances and Applications of Fuzzy Logic and Soft Computing
This book comprises a selection of papers from the IFSA 2007 World Congress on theoretical advances and applications of fuzzy logic and soft computing. These papers were selected from over 400 submissions and constitute an important contribution to the theory and applications of fuzzy logic and soft computing methodologies. Soft Computing consists of several computing paradigms, including fuzzy logic, neural networks, genetic algorithms, and other techniques, which can be used to produce powerful intelligent systems for solving real-world problems. Applications range from pattern recognition to intelligent control and sow the advantages of using soft computing theory and methods. The papers of IFSA 2007 also make a contribution to this goal.
The Universe of Fluctuations : The Architecture of Spacetime and the Universe
Proposes solutions to the impasse and crisis facing fundamental physics and cosmology. This work describes a cosmological model based on fuzzy spacetime that has correctly predicted a dark-energy-driven acceleration of our expanding universe - with a small cosmological constant - at a time when the popular belief was quite the contrary.
