• Chongfu Huang
  • Yong Shi
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 99)


This chapter reviews basic concepts of information, fuzzy sets and fuzzy systems. It addresses Shannon’s information theory which is useful for problems of information transfer only; however, it cannot imply structure about information that would be very important for recognizing relationships among factors. The essential natural of fuzzy information is structural, but not transferable. The fuzzy set theory as an algebra is introduced to describe the fuzziness in fuzzy information. Statements produced from incomplete data are true or false to only some degree in a continuous or vague logic. Fuzzy systems are relationships among factors that map inputs to outputs.


Fuzzy System Fuzzy Subset Fuzzy Relation Impulsive Noise Fuzzy Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Chongfu Huang
    • 1
  • Yong Shi
    • 2
  1. 1.Institute of Resources ScienceBeijing Normal UniversityBeijingChina
  2. 2.College of Information Science and TechnologyUniversity of Nebraska at OmahaOmahaUSA

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