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Author: Hiroaki Uesu

Affiliation: Global Education Center and Waseda University, Japan

Keyword(s): Type-2 Fuzzy Contingency Table, Fuzzy Numbers, Needs Analysis, Kano Model.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Fuzzy Information Processing, Fusion, Text Mining ; Fuzzy Information Retrieval and Data Mining ; Fuzzy Systems ; Soft Computing ; Type-2 Fuzzy Logic

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Uesu, H. (2016). Contingency Table Analysis Applying Fuzzy Number and Its Application - Needs Analysis for Media Lectures. In Proceedings of the 8th International Joint Conference on Computational Intelligence (IJCCI 2016) - FCTA; ISBN 978-989-758-201-1, SciTePress, pages 93-100. DOI: 10.5220/0006050600930100

@conference{fcta16,
author={Hiroaki Uesu.},
title={Contingency Table Analysis Applying Fuzzy Number and Its Application - Needs Analysis for Media Lectures},
booktitle={Proceedings of the 8th International Joint Conference on Computational Intelligence (IJCCI 2016) - FCTA},
year={2016},
pages={93-100},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006050600930100},
isbn={978-989-758-201-1},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Computational Intelligence (IJCCI 2016) - FCTA
TI - Contingency Table Analysis Applying Fuzzy Number and Its Application - Needs Analysis for Media Lectures
SN - 978-989-758-201-1
AU - Uesu, H.
PY - 2016
SP - 93
EP - 100
DO - 10.5220/0006050600930100
PB - SciTePress