Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making
- Submitting institution
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The University of Manchester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 40103721
- Type
- D - Journal article
- DOI
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10.1016/j.ins.2014.02.125
- Title of journal
- Information Sciences
- Article number
- -
- First page
- 125
- Volume
- 271
- Issue
- -
- ISSN
- 0020-0255
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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A - Computer Science
- Citation count
- 376
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "This paper introduced new methods for understanding for distance/similarity between hesitant fuzzy linguistic term sets - these methods have since been extended and applied 50+ times for linguistic decision analysis under uncertainties.
Keynote talk at 2017 IEEE International Conference on Grey Systems and Intelligent Services (IEEE GSIS 17).
Enabled the award of Australia 2015 ""Endeavour Research Fellowship"" (1.5% success rate).
Paper is a Web of Science Highly Cited Paper (top 1%)."
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
