Classification and Modeling with Linguistic Information Granules

Advanced Approaches to Linguistic Data Mining

  • Hisao Ishibuchi
  • Tomoharu Nakashima
  • Manabu Nii
Book

Part of the Advanced Information Processing book series (AIP)

About this book

Introduction

Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually based on mathematical mod­ els. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe­ matical models even when they are simple and linear. This is because human information processing is based mainly on linguistic knowledge while com­ puter systems are designed to handle symbolic and numerical information. A large part of our daily communication is based on words. We learn from various media such as books, newspapers, magazines, TV, and the Inter­ net through words. We also communicate with others through words. While words play a central role in human information processing, linguistic models are not often used in the fields of classification and modeling. If there is no goal other than the maximization of accuracy in classification and model­ ing, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretability.

Keywords

algorithms computational intelligence data mining fuzzy logic genetic algorithms linguistic modelling linguistic rules machine learning neural networks rough sets soft computing

Authors and affiliations

  • Hisao Ishibuchi
    • 1
  • Tomoharu Nakashima
    • 1
  • Manabu Nii
    • 2
  1. 1.Department of Computer Science and Intelligent SystemsOsaka Prefecture UniversitySakai OsakaJapan
  2. 2.Department of Electrical Engineering and Computer Sciences, Graduate School of EngineeringUniversity of HyogoHimeji HyogoJapan

Bibliographic information

  • DOI https://doi.org/10.1007/b138232
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-20767-2
  • Online ISBN 978-3-540-26875-8
  • About this book