Fuzzy utilities comparison in multicriteria analysis

Hepu Deng; Chung-Hsing Yeh

doi:10.1007/3-540-48774-3_46

Fuzzy utilities comparison in multicriteria analysis

Hepu Deng, Chung-Hsing Yeh

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

1 Citation (Scopus)

Abstract

This paper presents a new approach for comparing fuzzy utilities in fuzzy multicriteria analysis. The approach developed combines the merit of two prominent concepts individually used in the existing methods: the fuzzy reference set and the degree of dominance. The decisive information of the fuzzy utilities being compared is sensibly used. The computation involved is simple, and the underlying concepts are logically sound and comprehensible. The comparative study conducted on benchmark cases in the literature shows that the approach compares favorably with other methods examined.

Original language	English
Title of host publication	Computational Intelligence - Theory and Applications
Subtitle of host publication	International Conference, 6th Fuzzy Days Dortmund, Germany, May 25-28, 1999 Proceedings
Editors	Bernd Reusch
Place of Publication	Berlin Germany
Publisher	Springer
Pages	401-410
Number of pages	10
ISBN (Print)	354066050X
DOIs	https://doi.org/10.1007/3-540-48774-3_46
Publication status	Published - 1999
Event	Fuzzy Days in Dortmund 1999 - Dortmund, Germany Duration: 25 May 1999 → 28 May 1999 https://link-springer-com.ezproxy.lib.monash.edu.au/book/10.1007/3-540-48774-3 (Proceedings)

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	1625
ISSN (Print)	0302-9743

Conference

Conference	Fuzzy Days in Dortmund 1999
Country/Territory	Germany
City	Dortmund
Period	25/05/99 → 28/05/99
Internet address	https://link-springer-com.ezproxy.lib.monash.edu.au/book/10.1007/3-540-48774-3 (Proceedings)

Access to Document

10.1007/3-540-48774-3_46

Cite this

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title = "Fuzzy utilities comparison in multicriteria analysis",

abstract = "This paper presents a new approach for comparing fuzzy utilities in fuzzy multicriteria analysis. The approach developed combines the merit of two prominent concepts individually used in the existing methods: the fuzzy reference set and the degree of dominance. The decisive information of the fuzzy utilities being compared is sensibly used. The computation involved is simple, and the underlying concepts are logically sound and comprehensible. The comparative study conducted on benchmark cases in the literature shows that the approach compares favorably with other methods examined.",

author = "Hepu Deng and Chung-Hsing Yeh",

year = "1999",

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booktitle = "Computational Intelligence - Theory and Applications",

note = "Fuzzy Days in Dortmund 1999 ; Conference date: 25-05-1999 Through 28-05-1999",

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Deng, H & Yeh, C-H 1999, Fuzzy utilities comparison in multicriteria analysis. in B Reusch (ed.), Computational Intelligence - Theory and Applications : International Conference, 6th Fuzzy Days Dortmund, Germany, May 25-28, 1999 Proceedings . Lecture Notes in Computer Science, vol. 1625, Springer, Berlin Germany, pp. 401-410, Fuzzy Days in Dortmund 1999, Dortmund, North Rhine-Westphalia, Germany, 25/05/99. https://doi.org/10.1007/3-540-48774-3_46

Fuzzy utilities comparison in multicriteria analysis. / Deng, Hepu; Yeh, Chung-Hsing.
Computational Intelligence - Theory and Applications : International Conference, 6th Fuzzy Days Dortmund, Germany, May 25-28, 1999 Proceedings . ed. / Bernd Reusch. Berlin Germany: Springer, 1999. p. 401-410 (Lecture Notes in Computer Science; Vol. 1625).

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

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AB - This paper presents a new approach for comparing fuzzy utilities in fuzzy multicriteria analysis. The approach developed combines the merit of two prominent concepts individually used in the existing methods: the fuzzy reference set and the degree of dominance. The decisive information of the fuzzy utilities being compared is sensibly used. The computation involved is simple, and the underlying concepts are logically sound and comprehensible. The comparative study conducted on benchmark cases in the literature shows that the approach compares favorably with other methods examined.

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