A centroid based correlation coefficient of fuzzy numbers

Junhu Ruan, Felix T.S. Chan, Fangwei Zhu, Yan Shi, Yumeng Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Classic methods have been well reported to measure the correlation coefficient of crisp observed data. However, the uncertainty in the real world sometimes makes crisp data unavailable, especially for linguistic variables. Under this situation, fuzzy numbers are often involved in the observed data, but classic statistical methods cannot be directly used to calculate the correlation coefficient of fuzzy observed data. Motivated by this observation, we integrate the centroid technique with Pearson's correlation coefficient to propose a simple method for measuring the correlation coefficient of fuzzy data. The centroid based method is applied into the measurement of correlation coefficient between technology and management. The comparison with extant results shows the effectiveness and advantage of our method.

Original languageEnglish
Title of host publicationProceedings of the 3nd World Congress on Mechanical, Chemical, and Material Engineering, MCM 2017
PublisherAvestia Publishing
ISBN (Print)9781927877326
DOIs
Publication statusPublished - 1 Jan 2017
EventProceedings of the 3nd World Congress on Mechanical, Chemical, and Material Engineering, MCM 2017 - Rome, Italy
Duration: 8 Jun 201710 Jun 2017

Publication series

NameProceedings of the World Congress on Mechanical, Chemical, and Material Engineering
ISSN (Electronic)2369-8136

Conference

ConferenceProceedings of the 3nd World Congress on Mechanical, Chemical, and Material Engineering, MCM 2017
CountryItaly
CityRome
Period8/06/1710/06/17

Keywords

  • Centroid-based method
  • Correlation coefficient
  • Fuzzy observed data
  • Technology and management

ASJC Scopus subject areas

  • Mechanical Engineering
  • Mechanics of Materials
  • Chemical Engineering(all)

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