Contingency table analysis applying fuzzy number and its application needs analysis for media lectures

Hiroaki Uesu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Generally, we could efficiently analyse the inexact information by applying fuzzy theory. We would extend contingency table, and propose type-2 fuzzy contingency table. In this paper, we would discuss about type-2 fuzzy contingency table and a needs analysis method applying type-2 fuzzy contingency table.

Original languageEnglish
Title of host publicationFCTA 2016 - 8th International Conference on Fuzzy Computation Theory and Applications
PublisherSciTePress
Pages93-100
Number of pages8
Volume2
ISBN (Electronic)9789897582011
Publication statusPublished - 2016
Event8th International Joint Conference on Computational Intelligence, IJCCI 2016 - Porto, Portugal
Duration: 2016 Nov 92016 Nov 11

Other

Other8th International Joint Conference on Computational Intelligence, IJCCI 2016
CountryPortugal
CityPorto
Period16/11/916/11/11

Keywords

  • Fuzzy Numbers
  • Kano Model
  • Needs Analysis
  • Type-2 Fuzzy Contingency Table

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software
  • Computational Theory and Mathematics
  • Artificial Intelligence

Cite this

Uesu, H. (2016). Contingency table analysis applying fuzzy number and its application needs analysis for media lectures. In FCTA 2016 - 8th International Conference on Fuzzy Computation Theory and Applications (Vol. 2, pp. 93-100). SciTePress.