A modified similarity measure of generalized fuzzy mumbers

Yong Deng; Bing Yi Kang; Ya Juan Zhang; Xin Yang Deng; Hai Xin Zhang

doi:10.1109/CCDC.2011.5968566

A modified similarity measure of generalized fuzzy mumbers

Yong Deng
, Bing Yi Kang
, Ya Juan Zhang
, Xin Yang Deng
, Hai Xin Zhang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

In this paper, a modified method to measure the degree of similarity between generalized fuzzy numbers based on Hausdorff distance is presented. Eighteen sets of generalized fuzzy numbers are used to compare the proposed method with the existing similarity measures. The results show that the proposed similarity measure can overcome the drawbacks of the existing methods.

Original language	English
Title of host publication	Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011
Pages	2173-2175
Number of pages	3
DOIs	https://doi.org/10.1109/CCDC.2011.5968566
State	Published - 2011
Externally published	Yes
Event	2011 Chinese Control and Decision Conference, CCDC 2011 - Mianyang, China Duration: 23 May 2011 → 25 May 2011

Publication series

Name	Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011

Conference

Conference	2011 Chinese Control and Decision Conference, CCDC 2011
Country/Territory	China
City	Mianyang
Period	23/05/11 → 25/05/11

Keywords

Fuzzy numbers
Haus-dorff distance
similarity measure

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10.1109/CCDC.2011.5968566

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@inproceedings{686117e1c836484783d7a284626e7264,

title = "A modified similarity measure of generalized fuzzy mumbers",

abstract = "In this paper, a modified method to measure the degree of similarity between generalized fuzzy numbers based on Hausdorff distance is presented. Eighteen sets of generalized fuzzy numbers are used to compare the proposed method with the existing similarity measures. The results show that the proposed similarity measure can overcome the drawbacks of the existing methods.",

keywords = "Fuzzy numbers, Haus-dorff distance, similarity measure",

author = "Yong Deng and Kang, \{Bing Yi\} and Zhang, \{Ya Juan\} and Deng, \{Xin Yang\} and Zhang, \{Hai Xin\}",

year = "2011",

doi = "10.1109/CCDC.2011.5968566",

language = "英语",

isbn = "9781424487363",

series = "Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011",

pages = "2173--2175",

booktitle = "Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011",

note = "2011 Chinese Control and Decision Conference, CCDC 2011 ; Conference date: 23-05-2011 Through 25-05-2011",

}

Deng, Y, Kang, BY, Zhang, YJ, Deng, XY & Zhang, HX 2011, A modified similarity measure of generalized fuzzy mumbers. in Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011., 5968566, Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011, pp. 2173-2175, 2011 Chinese Control and Decision Conference, CCDC 2011, Mianyang, China, 23/05/11. https://doi.org/10.1109/CCDC.2011.5968566

A modified similarity measure of generalized fuzzy mumbers. / Deng, Yong; Kang, Bing Yi; Zhang, Ya Juan et al.
Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011. 2011. p. 2173-2175 5968566 (Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A modified similarity measure of generalized fuzzy mumbers

AU - Deng, Yong

AU - Kang, Bing Yi

AU - Zhang, Ya Juan

AU - Deng, Xin Yang

AU - Zhang, Hai Xin

PY - 2011

Y1 - 2011

N2 - In this paper, a modified method to measure the degree of similarity between generalized fuzzy numbers based on Hausdorff distance is presented. Eighteen sets of generalized fuzzy numbers are used to compare the proposed method with the existing similarity measures. The results show that the proposed similarity measure can overcome the drawbacks of the existing methods.

AB - In this paper, a modified method to measure the degree of similarity between generalized fuzzy numbers based on Hausdorff distance is presented. Eighteen sets of generalized fuzzy numbers are used to compare the proposed method with the existing similarity measures. The results show that the proposed similarity measure can overcome the drawbacks of the existing methods.

KW - Fuzzy numbers

KW - Haus-dorff distance

KW - similarity measure

UR - https://www.scopus.com/pages/publications/80052223007

U2 - 10.1109/CCDC.2011.5968566

DO - 10.1109/CCDC.2011.5968566

M3 - 会议稿件

AN - SCOPUS:80052223007

SN - 9781424487363

T3 - Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011

SP - 2173

EP - 2175

BT - Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011

T2 - 2011 Chinese Control and Decision Conference, CCDC 2011

Y2 - 23 May 2011 through 25 May 2011

ER -

A modified similarity measure of generalized fuzzy mumbers

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