Hesitant Fuzzy Linguistic VIKOR Method and Its Application in Qualitative Multiple Criteria Decision Making
- Submitting institution
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The University of Manchester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 51110705
- Type
- D - Journal article
- DOI
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10.1109/TFUZZ.2014.2360556
- Title of journal
- I E E E Transactions on Fuzzy Systems
- Article number
- -
- First page
- 1343
- Volume
- 23
- Issue
- 5
- ISSN
- 1063-6706
- Open access status
- Out of scope for open access requirements
- Month of publication
- September
- 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
- 254
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "The first VIKOR decision analysis method based on hesitant fuzzy linguistic information and enables the well-known VIKOR approach originally developed for quantitative analysis to be used for qualitative analysis.
Enabled awards of First Class Excellent Natural Science Award for 2017 Scientific Research Achievements of Higher Education Institutions by Chinese Ministry of Education 2018; and Top Ten Basic Science Progress Award at Sichuan University (China).
Nominated for the 2017 Outstanding Paper Award of IEEE Transactions on Fuzzy Systems.
Paper is a ""Highly Cited Paper"" (top 1%) by Web of Science."
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
