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A Ranking Method of Hexagonal Fuzzy Numbers Based on Their Possibilistic Mean Values

  • Worrawate Leela-apiradeeEmail author
  • Phantipa Thipwiwatpotjana
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1000)

Abstract

A hexagonal fuzzy number (HFN) with its membership function as a nonlinear function, which is a generalization of triangular fuzzy numbers, trapezoidal fuzzy numbers, linear pentagonal fuzzy numbers and linear hexagonal fuzzy numbers, is defined in this paper. Cardinality of HFN is applied to achieve an algorithm for classifying types of HFNs. In addition, we present a ranking method for those fuzzy numbers based on their possibilistic mean values. Therefore, an explicit formula of the possibilistic mean value of HFN is proposed.

Keywords

Hexagonal fuzzy number Possibilistic mean value Ranking 

Notes

Acknowledgements

The authors would like to thank to the referees for valuable comments and suggestions.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Worrawate Leela-apiradee
    • 1
    Email author
  • Phantipa Thipwiwatpotjana
    • 2
  1. 1.Department of Mathematics and Statistics, Faculty of Science and TechnologyThammasat UniversityPathum ThaniThailand
  2. 2.Department of Mathematics and Computer Science, Faculty of ScienceChulalongkorn UniversityBangkokThailand

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