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International Journal of Machine Learning and Cybernetics
Published in: International Journal of Machine Learning and Cybernetics 5/2016

01-10-2016 | Original Article

Hesitant fuzzy linguistic linear programming technique for multidimensional analysis of preference for multi-attribute group decision making

Published in: International Journal of Machine Learning and Cybernetics | Issue 5/2016

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Abstract

Hesitant fuzzy linguistic term sets (HFLTSs), one of the extensions of the hesitant fuzzy sets, are used to deal with several possible linguistic values or richer expressions than a single term for an alternative, variable, etc. In this paper, we develop a new method called hesitant fuzzy linguistic Linear Programming Technique for Multidimensional Analysis of Preference (LINMAP), which combines the HFLTSs with LINMAP method. By the method, we can get the attributes weights and ideal solution. Furthermore, other generalizations of the method are provided in detail. A practical example is provided to show that our method is very effective in solving multi-criteria decision making problems with hesitant fuzzy linguistic information. Comparative analyses with TOPSIS method are also furnished to show the advantages of the proposed method.
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Metadata
Title
Hesitant fuzzy linguistic linear programming technique for multidimensional analysis of preference for multi-attribute group decision making
Publication date
01-10-2016
Published in
International Journal of Machine Learning and Cybernetics / Issue 5/2016
Print ISSN: 1868-8071
Electronic ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-015-0417-7

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