|Table of Contents|

[1] Xu Zeshui,. Multiple attribute decision makingbased on different types of linguistic information [J]. Journal of Southeast University (English Edition), 2006, 22 (1): 134-136. [doi:10.3969/j.issn.1003-7985.2006.01.029]
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Multiple attribute decision makingbased on different types of linguistic information()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
22
Issue:
2006 1
Page:
134-136
Research Field:
Economy and Management
Publishing date:
2006-03-20

Info

Title:
Multiple attribute decision makingbased on different types of linguistic information
Author(s):
Xu Zeshui
College of Economics and Management, Southeast University, Nanjing 210096, China
Institute of Sciences, PLA University of Science and Technology, Nanjing 210007, China
Keywords:
multiple attribute decision making linguistic ideal solution distance measure linguistic variable
PACS:
C934
DOI:
10.3969/j.issn.1003-7985.2006.01.029
Abstract:
Distance measures between exact linguistic variables and between uncertain linguistic variables are introduced respectively. Based on exact linguistic variables and uncertain linguistic variables, the concepts of positive linguistic ideal solution and negative linguistic ideal solution of attribute values are defined. To rank and select alternatives, based on the distance measures of two types of linguistic variables and the linguistic ideal solutions, a method for multiple attribute decision making with different types of linguistic information is proposed, by which all alternatives can be ranked. The method can carry out linguistic computation processes easily without loss of linguistic information, and thus makes the decision result reasonable and effective. Finally, the implementation process of the proposed method is illustrated and analyzed by a numerical example.

References:

[1] Levrat E, Voisin A, Bombardier S, et al.Subjective evaluation of car seat comfort with fuzzy set techniques [J].International Journal of Intelligent Systems, 1997, 12(11, 12):891-913.
[2] Bordogna G, Fedrizzi M, Pasi G.A linguistic modeling of consensus in group decision making based on OWA operators [J].IEEE Transactions on Systems, Man, and Cybernetics, Part A, 1997, 27(1):126-132.
[3] Herrera F, Martínez L.An approach for combining numerical and linguistic information based on the 2-tuple fuzzy linguistic representation model in decision making [J].International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2000, 8(5):539-562.
[4] Xu Z S.Uncertain linguistic aggregation operators based approach to multiple attribute group decision making under uncertain linguistic environment[J].Information Sciences, 2004, 168(1-4):171-184.
[5] Herrera F, Martínez L.A 2-tuple fuzzy linguistic representation model for computing with words [J].IEEE Transactions on Fuzzy Systems, 2000, 8(6):746-752.
[6] Torra V.Aggregation of linguistic labels when semantics is based on antonyms[J].International Journal of Intelligent Systems, 2001, 16(4):513-524.
[7] Xu Z S.A method based on linguistic aggregation operators for group decision making with linguistic preference relations [J].Information Sciences, 2004, 166(1-4):19-30.
[8] Xu Z S.Deviation measures of linguistic preference relations in group decision making [J].Omega, 2005, 33(3):249-254.
[9] Xu Z S.Uncertain multiple attribute decision making:methods and applications [M].Beijing:Tsinghua University Press, 2004: 161-236.(in Chinese)

Memo

Memo:
Biography: Xu Zeshui(1968—), male, doctor, professor, xu-zeshui@263.net.
Last Update: 2006-03-20