Interactive TOPSIS based group decision making methodology using Z-Numbers
- Submitting institution
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University of Portsmouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11124099
- Type
- D - Journal article
- DOI
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10.1080/18756891.2016.1150003
- Title of journal
- International Journal of Computational Intelligence Systems
- Article number
- -
- First page
- 311
- Volume
- 9
- Issue
- 2
- ISSN
- 1875-6891
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2016
- 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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1
- Research group(s)
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B - Computational Intelligence
- Citation count
- 48
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A novel application of Z numbers for systematic interactive group-based ranking of alternatives under uncertainty. The use of Z numbers results in more reliable decisions in comparison to established decision methods. This makes the method more suitable for high risk domains, such as financial decision making, as was practically demonstrated on stocks selection for the Main Board in Bursa Malaysia (Malaysian stock exchange).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -