Integrated Uncertainty Management and Applications

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 fo...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Huynh, Van-Nam. (Editor), Nakamori, Yoshiteru. (Editor), Lawry, Jonathan. (Editor), Inuiguchi, Masahiro. (Editor)
Format: Electronic
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Series:Advances in Intelligent and Soft Computing, 68
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-11960-6
Table of Contents:
  • Part I Keynote and Invited Talks
  • Part II Fuzzy Measures and Integrals
  • Part III Integrated Uncertainty and Operations Research Symmetries: A General Approach to Integrated Uncertainty Management
  • Part IV Aggregation Operators and Decision Making
  • Part V Logical Approaches to Uncertainty
  • Part VI Reasoning with Uncertainty Reasoning with Uncertainty in Continuous Domains
  • Part VII DataMining
  • Part VIII Applications.