ELECTRE Method Based on Interval-Valued Intuitionistic Fuzzy Number

Jun Li; Min Lin; Jian Hua Chen

doi:10.4028/www.scientific.net/AMM.220-223.2308

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 220-223ELECTRE Method Based on Interval-Valued...

ELECTRE Method Based on Interval-Valued Intuitionistic Fuzzy Number

Abstract:

A new multi-criteria decision-making method for interval-valued intuitionistic fuzzy number is proposed by the advantage of intuitionistic fuzzy set and ELECTRE method. Firstly, the possibility-degree and deviation-degree of interval number are used to establish the preference relation of interval-valued intuitionistic fuzzy number. Then, we exposit the decision theory and the steps of this method. Finally, a numerical example is given to illustrate the application of the method. The numerical results show that it is feasible and effective.

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Periodical:

Applied Mechanics and Materials (Volumes 220-223)

Pages:

2308-2312

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.220-223.2308

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Online since:

November 2012

Authors:

Jun Li, Min Lin, Jian Hua Chen

Keywords:

ELECTRE Method, Fuzzy Multi-Attribute Decision-Making, Interval-Valued Intuitionistic Fuzzy Number, Possibility-Degree

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References

[1] Zadeh L A. Fuzzy sets[J]. Information and Control,1965,8(3):338-353.

Google Scholar

[2] Atanassov K. Intuitionistic Fuzzy Sets[J]. Fuzzy Sets and Systems,1986,20(1):87-96.

DOI: 10.1016/s0165-0114(86)80034-3

Google Scholar

[3] Atanassov K. More on intutionistic fuzzy sets[J].Fuzzy Sets and Systems,1989,33(1):37-46.

DOI: 10.1016/0165-0114(89)90215-7

Google Scholar

[4] Atanassov K,Gargov G. Interval-valued intuitionistic fuzzy sets[J].Fuzzy Sets and Systems,1989,31(3):343-349.

DOI: 10.1016/0165-0114(89)90205-4

Google Scholar

[5] Atanassov K. Operators over interval-valued intuitionistic fuzzy sets[J]. Fuzzy Sets and Systems,1994,64(2):159-174.

DOI: 10.1016/0165-0114(94)90331-x

Google Scholar

[6] WAN Shuping. Survey on intuitionistic fuzzy multi-attribute making approach [J]. Control and Decision,2010,25(11):1601-1606.(In Chinese).

Google Scholar

[7] HU Hui. TOPSIS method for multiple attribute decision making with interval-valued intuitionistic fuzzy information [J]. Fuzzy Systems and Mathematics,2007,21(5):108-112. (In Chinese).

DOI: 10.2991/iske.2007.129

Google Scholar

[9] WANG JIanqiang. A multi-criteria interval intuitionistic fuzzy decision-making approach with imcomplete information [J]. Control and Decision,2006, 21(11):1253-1256. (In Chinese).

Google Scholar

[10] Wei G W. Some induced geometric aggregation operators with intuitionistic fuzzy information and their application to group decision making[J]. Applied Soft Computing,2010,10(2):423-431. (In Chinese).

DOI: 10.1016/j.asoc.2009.08.009

Google Scholar