Soft Computing

, Volume 21, Issue 22, pp 6767–6781 | Cite as

A novel table look-up scheme based on GFScom and its application

Methodologies and Application
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Abstract

This work considers Mamdani fuzzy systems constructed from finite input–output data pairs using the generalized fuzzy sets with contradictory, opposite and medium negation (GFScom). Considering that the information available often consists of a set of finite numerical data pairs, a new table look-up scheme for constructing Mamdani fuzzy systems is presented. The designed fuzzy system is proved to be capable of approximating any real continuous function on a compact set to arbitrary degree of accuracy. We use this fuzzy modeling method for the truck back-upper control problem. The effectiveness of the proposed method is demonstrated by a comparison with the traditional table look-up scheme.

Keywords

Negative information Generalized fuzzy sets GFScom Design of fuzzy systems Approximation of continuous functions Truck backer-upper problem 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.School of Computer ScienceShaanxi Normal UniversityXi’anChina
  2. 2.School of Information TechnologyXingyi Normal University for NationalitiesXingyiChina

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