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

Hiroaki Uesu

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

Hiroaki Uesu^*

^*この研究の対応する著者

グローバルエデュケーションセンター

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語	English
ホスト出版物のタイトル	FCTA 2016 - 8th International Conference on Fuzzy Computation Theory and Applications
出版社	SciTePress
ページ	93-100
ページ数	8
巻	2
ISBN（電子版）	9789897582011
出版ステータス	Published - 2016
イベント	8th International Joint Conference on Computational Intelligence, IJCCI 2016 - Porto, Portugal 継続期間: 2016 11月 9 → 2016 11月 11

Other

Other	8th International Joint Conference on Computational Intelligence, IJCCI 2016
国/地域	Portugal
City	Porto
Period	16/11/9 → 16/11/11

ASJC Scopus subject areas

コンピュータグラフィックスおよびコンピュータ支援設計
ソフトウェア
計算理論と計算数学
人工知能

他のファイルとリンク

引用スタイル

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title = "Contingency table analysis applying fuzzy number and its application needs analysis for media lectures",

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.",

keywords = "Fuzzy Numbers, Kano Model, Needs Analysis, Type-2 Fuzzy Contingency Table",

author = "Hiroaki Uesu",

year = "2016",

language = "English",

volume = "2",

pages = "93--100",

booktitle = "FCTA 2016 - 8th International Conference on Fuzzy Computation Theory and Applications",

publisher = "SciTePress",

note = "8th International Joint Conference on Computational Intelligence, IJCCI 2016 ; Conference date: 09-11-2016 Through 11-11-2016",

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AU - Uesu, Hiroaki

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Fuzzy Numbers

KW - Kano Model

KW - Needs Analysis

KW - Type-2 Fuzzy Contingency Table

UR - http://www.scopus.com/inward/record.url?scp=85006395688&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85006395688&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85006395688

VL - 2

SP - 93

EP - 100

BT - FCTA 2016 - 8th International Conference on Fuzzy Computation Theory and Applications

PB - SciTePress

T2 - 8th International Joint Conference on Computational Intelligence, IJCCI 2016

Y2 - 9 November 2016 through 11 November 2016

ER -

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

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Other

ASJC Scopus subject areas

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