A new approach for fuzzy risk analysis based on similarity by using decision making approach

H. Haleh; H. Akbrzade Khorshidi; S. M. Hoseini

doi:10.1109/ICMIT.2010.5492895

A new approach for fuzzy risk analysis based on similarity by using decision making approach

H. Haleh, H. Akbrzade Khorshidi, S. M. Hoseini

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

5 Citations (Scopus)

Abstract

Generating an appropriate method for finding the most similar fuzzy number by desired fuzzy number is obtained a significant importance. To actualize this goal, different methods are proposed for determination of fuzzy similarity amount. In this paper, first a new similarity method between generalized trapezoidal fuzzy numbers is presented based on TOPSIS approach. It can combine some of these different methods for selection the most similar fuzzy number. After that this new method is utilized for completion a new fuzzy risk analysis algorithm. At last, these two new methods are illustrated by using an example.

Original language	English
Title of host publication	5th IEEE International Conference on Management of Innovation and Technology, ICMIT2010
Pages	1112-1117
Number of pages	6
DOIs	https://doi.org/10.1109/ICMIT.2010.5492895
Publication status	Published - 2010
Externally published	Yes
Event	Management of Innovation and Technology International Conference 2010 - Singapore, Singapore Duration: 2 Jun 2010 → 5 Jun 2010 https://ieeexplore.ieee.org/xpl/conhome/5481670/proceeding (Proceedings)

Conference

Conference	Management of Innovation and Technology International Conference 2010
Abbreviated title	ICMIT 2010
Country/Territory	Singapore
City	Singapore
Period	2/06/10 → 5/06/10
Internet address	https://ieeexplore.ieee.org/xpl/conhome/5481670/proceeding (Proceedings)

Keywords

Fuzzy risk analysis
Similarity
TOPSIS approach

Access to Document

10.1109/ICMIT.2010.5492895

Cite this

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title = "A new approach for fuzzy risk analysis based on similarity by using decision making approach",

abstract = "Generating an appropriate method for finding the most similar fuzzy number by desired fuzzy number is obtained a significant importance. To actualize this goal, different methods are proposed for determination of fuzzy similarity amount. In this paper, first a new similarity method between generalized trapezoidal fuzzy numbers is presented based on TOPSIS approach. It can combine some of these different methods for selection the most similar fuzzy number. After that this new method is utilized for completion a new fuzzy risk analysis algorithm. At last, these two new methods are illustrated by using an example.",

keywords = "Fuzzy risk analysis, Similarity, TOPSIS approach",

author = "H. Haleh and {Akbrzade Khorshidi}, H. and Hoseini, {S. M.}",

year = "2010",

doi = "10.1109/ICMIT.2010.5492895",

language = "English",

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pages = "1112--1117",

booktitle = "5th IEEE International Conference on Management of Innovation and Technology, ICMIT2010",

note = "Management of Innovation and Technology International Conference 2010, ICMIT 2010 ; Conference date: 02-06-2010 Through 05-06-2010",

url = "https://ieeexplore.ieee.org/xpl/conhome/5481670/proceeding",

}

Haleh, H, Akbrzade Khorshidi, H & Hoseini, SM 2010, A new approach for fuzzy risk analysis based on similarity by using decision making approach. in 5th IEEE International Conference on Management of Innovation and Technology, ICMIT2010., 5492895, pp. 1112-1117, Management of Innovation and Technology International Conference 2010, Singapore, Singapore, 2/06/10. https://doi.org/10.1109/ICMIT.2010.5492895

A new approach for fuzzy risk analysis based on similarity by using decision making approach. / Haleh, H.; Akbrzade Khorshidi, H.; Hoseini, S. M.

5th IEEE International Conference on Management of Innovation and Technology, ICMIT2010. 2010. p. 1112-1117 5492895.

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

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AU - Hoseini, S. M.

PY - 2010

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N2 - Generating an appropriate method for finding the most similar fuzzy number by desired fuzzy number is obtained a significant importance. To actualize this goal, different methods are proposed for determination of fuzzy similarity amount. In this paper, first a new similarity method between generalized trapezoidal fuzzy numbers is presented based on TOPSIS approach. It can combine some of these different methods for selection the most similar fuzzy number. After that this new method is utilized for completion a new fuzzy risk analysis algorithm. At last, these two new methods are illustrated by using an example.

AB - Generating an appropriate method for finding the most similar fuzzy number by desired fuzzy number is obtained a significant importance. To actualize this goal, different methods are proposed for determination of fuzzy similarity amount. In this paper, first a new similarity method between generalized trapezoidal fuzzy numbers is presented based on TOPSIS approach. It can combine some of these different methods for selection the most similar fuzzy number. After that this new method is utilized for completion a new fuzzy risk analysis algorithm. At last, these two new methods are illustrated by using an example.

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KW - Similarity

KW - TOPSIS approach

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Y2 - 2 June 2010 through 5 June 2010

ER -

A new approach for fuzzy risk analysis based on similarity by using decision making approach

Abstract

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Keywords

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