Quantification of R-fuzzy sets
- Submitting institution
-
De Montfort University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11080
- Type
- D - Journal article
- DOI
-
10.1016/j.eswa.2016.02.010
- Title of journal
- Expert Systems with Applications
- Article number
- -
- First page
- 374
- Volume
- 55
- Issue
- -
- ISSN
- 0957-4174
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- 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
-
2
- Research group(s)
-
-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This article has gathered significant traction and now provides an additional model for uncertainty capture and knowledge representation, and has been taken by others on this field of research (10.1155/2017/1608147; 10.1016/j.eswa.2017.09.048;10.1002/adts.202000095). It has also led to a Royal Society International Exchanges Cost Share 2017 China (NSFC): ‘Intelligent grey dynamic scheduling for complex products based on sense informationof the “Internet of things”’.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -