Journal
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
Volume 9, Issue 4, Pages 577-588Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s13042-016-0541-z
Keywords
Hesitant fuzzy linguistic term set; Rough set over two universes; Hesitant fuzzy linguistic rough set over two universes; Decision making; Person-job fit
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Funding
- National Natural Science Foundation of China [U1435212, 61272095, 61303107, 61432011, 61573231]
- National Science and Technology [2012BAH33B01]
- Shanxi Scholarship Council of China [2013-014]
- Shanxi Science and Technology Infrastructure [2015091001-0102]
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In practical decision making situations, decision makers usually express preferences by evaluating qualitative linguistic alternatives using the hesitant fuzzy linguistic term set. To analyze the hesitant fuzzy linguistic information effectively, we aim to apply the rough set over two universes model. Thus, it is necessary to study the fusion of the hesitant fuzzy linguistic term set and rough set over two universes. This paper proposes a general framework for the study of the hesitant fuzzy linguistic rough set over two universes. First, both the definitions and some fundamental properties will be developed, followed by construction of a general decision making rule based on the hesitant fuzzy linguistic information. Finally, we illustrate the newly proposed approach according to the basis of person-job fit, and discuss its applications compared to classical methods.
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