About this book
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.
Extension aggregation operators artificial intelligence computational intelligence data mining decision problem fuzzy fuzzy logic fuzzy sets intelligence machine learning management modeling operations research uncertainty