Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Decision making --- Risk --- Uncertainty (Information theory) --- Prise de décision --- Incertitude (Théorie de l'information) --- Mathematical models --- Congresses --- Modèles mathématiques --- Congrès --- Congresses. --- Prise de décision --- Incertitude (Théorie de l'information) --- Modèles mathématiques --- Congrès --- Decision-making - Mathematical models - Congresses. --- Risk - Mathematical models - Congresses. --- Uncertainty (Information theory) - Congresses.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Solving practical problems often requires the integration of information and knowledge from many different sources, taking into account uncertainty and impreciseness. Typical situations are, for instance, when we need to simultaneously process both measurement data and expert knowledge, where the former may be uncertain and inaccurate due to randomness or error in measurements whilst the latter are often vague and imprecise due to a lack of information or human’s subjective judgements. This gives rise to the demand for methods and techniques of managing and integrating various types of uncertainty within a coherent framework, so as to ultimately improve the solution to any such complex problem in practice. 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–11thApril, 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.

Soft computing -- Congresses. --- Uncertainty -- Mathematical models -- Congresses. --- Uncertainty (Information theory) -- Congresses. --- Soft computing --- Uncertainty --- Uncertainty (Information theory) --- Computer Science --- Engineering & Applied Sciences --- Mathematical models --- Uncertainty. --- Engineering. --- Artificial intelligence. --- Computational intelligence. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Intelligence, Computational --- Artificial intelligence --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Reasoning --- Artificial Intelligence.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The management and processing of uncertain information has shown itself to be a crucial issue in the development of intelligent systems, beginning withits appearance in the such systems as Mycin and Prospector. The papers in this volume reflect the current range of interests or researchers in thefield. Currently, the major approaches to uncertainty include fuzzy set theory, probabilistic methods, mathematical theory of evidence, non-standardlogics such as default reasoning, and possibility theory. The initial part of the volume is devoted to papers dealing with the foundations of these approaches, where recent attempts have been made to develop systems combining multiple approaches. A significant part of the book looks at the management of uncertainty in a number of the paradigmatic domainsof intelligent systems such as expert systems, decision making, databases, image processing, and reasoning networks. The papers are extended versions of presentations at the third international conference on information processing and management of uncertainty in knowledge-based systems. The proceedings of the two preceding IPMU conferences appear as LNCS 286 and LNCS 313.

Database management --- Uncertainty (Information theory) --- -681.3*C3 --- 681.3*H11 --- 681.3*H4 --- 681.3*I2 --- Congresses. --- Congresses --- Special-purpose and application-based systems: microprocessor/microcomputer; process control-, real-time, signal processing systems (Computer systems organization)--See also {681.3*J7} --- Systems and information theory: value of information--See also {681.3*E4} --- Information systems applications (GIS etc.) --- Artificial intelligence. AI --- 681.3*I2 Artificial intelligence. AI --- 681.3*H4 Information systems applications (GIS etc.) --- 681.3*H11 Systems and information theory: value of information--See also {681.3*E4} --- 681.3*C3 Special-purpose and application-based systems: microprocessor/microcomputer; process control-, real-time, signal processing systems (Computer systems organization)--See also {681.3*J7} --- 681.3*C3 --- Uncertainty (Information theory) - Congresses. --- Data base management - Congresses. --- Artificial intelligence. --- Mathematics. --- Computer science. --- Distribution (Probability theory. --- Statistics. --- Artificial Intelligence. --- Applications of Mathematics. --- Information Systems Applications (incl. Internet). --- Models and Principles. --- Probability Theory and Stochastic Processes. --- Statistics, general. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Informatics --- Science --- Math --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers