Introduction

Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 591)

Abstract

This chapter overviews the whole book. First, we introduce some fundamental concepts in pattern recognition. Pattern recognition can be viewed as a labeling process that bridges human (machine) perceptions to linguistic labels. Second, we motivate the use of probabilistic graphical models and type-2 fuzzy sets to handle two important uncertainties, namely randomness and fuzziness, existing universally in the labeling problem. Finally, we summarize our contributions, and provide the structure of this book.

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Copyright information

© Tsinghua University Press, Beijing and Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.School of Computer Science and TechnologySoochow UniversitySuzhouChina
  2. 2.School of Creative MediaCity University of Hong KongHong KongChina

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