[1] Xu Zeshui, Da Qingli,. Linguistic approaches to multiple attribute decision makingin uncertain linguistic setting [J]. Journal of Southeast University (English Edition), 2004, 20 (4): 482-485. [doi:10.3969/j.issn.1003-7985.2004.04.018]

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Linguistic approaches to multiple attribute decision makingin uncertain linguistic setting()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

20

Issue:

2004 4

Page:

482-485

Research Field:

Economy and Management

Publishing date:

2004-12-30

Info

Title:

Linguistic approaches to multiple attribute decision makingin uncertain linguistic setting

Author(s):

Xu Zeshui;  Da Qingli

College of Economics and Management, Southeast University, Nanjing 210096, China

Keywords:

aggregation;  multiple attribute decision making;  EULA operator;  ILA operator;  operational laws

PACS:

C934

DOI:

10.3969/j.issn.1003-7985.2004.04.018

Abstract:

We study multiple attribute decision-making problems with uncertain linguistic information, in which the preference values take the form of uncertain linguistic variables. We introduce some operational laws of uncertain linguistic variables and a formula for the comparison between two uncertain linguistic variables. We propose two new aggregation operators called extended uncertain linguistic aggregation(EULA)operator and interval linguistic aggregation(ILA)operator, and then develop an EULA operator-based linguistic approach and an ILA operator-based linguistic approach, respectively, to multiple attribute decision making in uncertain linguistic setting. The approaches are straightforward and do not produce any loss of information. Finally, an illustrative example is given to verify the developed approaches and to demonstrate their practicality and effectiveness.

References:

[1] Zadeh L A, Kacprzyk J. Computing with words in information/intelligent systems—part 1: foundations; part 2: applications [M]. Heidelberg, Germany: Physica-Verlag, 1999.
[2] Xu Z S. Uncertain multiple attribute decision making: methods and applications [M]. Beijing: Tsinghua University Press, 2004.(in Chinese)
[3] Herrera F, Herrera-Viedma E. Linguistic decision analysis: steps for solving decision problems under linguistic information [J]. Fuzzy Sets and Systems, 2000, 115(1): 67-82.
[4] Degani R, Bortolan G. The problem of linguistic approximation in clinical decision making [J]. International Journal of Approximate Reasoning, 1988, 2(2): 143-162.
[5] Chang P, Chen Y. A fuzzy multicriteria decision making method for technology transfer strategy selection in biotechnology [J]. Fuzzy Sets and Systems, 1994, 63(2): 131-139.
[6] Herrera F, Martínez L. An approach for combining linguistic and numerical 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.
[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): 19-30.

Memo

Memo:

Biographies: Xu Zeshui(1968—), male, doctor, professor; Da Qingli(corresponding author), male, professor, dql@public1.ptt.js.cn.

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