TOPSIS for Hesitant Fuzzy Linguistic Term Sets-Reference-Cited by-同舟云学术

TOPSIS for Hesitant Fuzzy Linguistic Term Sets

Published:2013-08-02 Issue:12 Volume:28 Page:1162-1171
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int. J. Intell. Syst.

Author:

Beg Ismat¹,Rashid Tabasam²

Affiliation:

1. Centre for Mathematics and Statistical Sciences; Lahore School of Economics; Lahore; Pakistan

2. Department of Science and Humanities; National University of Computer and Emerging Sciences; Lahore; Pakistan

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/int.21623/fullpdf

Reference42 articles.

1. The concept of a linguistic variable and its application to approximate reasoning I;Zadeh;Inform Sci,1975

2. Computing with words and machine learning in medical diagnosis;Becker;Inform Sci,2001

3. TOPSIS-based nonlinear-programming methodology for multiattribute decision making with interval-valued intuitionistic fuzzy sets;Li;IEEE Trans Fuzzy Syst,2010

4. Sensory evaluation based on linguistic decision analysis;Martínez;Int J Approx Reason,2007

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