Ordered weighted aggregation of fuzzy similarity relations and its application to detecting water treatment plant malfunction
- Submitting institution
-
The University of Huddersfield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 52
- Type
- D - Journal article
- DOI
-
10.1016/j.engappai.2017.08.009
- Title of journal
- Engineering Applications of Artificial Intelligence
- Article number
- -
- First page
- 17
- Volume
- 66
- Issue
- -
- ISSN
- 0952-1976
- Open access status
- Technical exception
- Month of publication
- September
- Year of publication
- 2017
- 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
- Yes
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 9
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Supported by the Fundamental Research Funds for the Central Universities, China, under grant number:2016MS120, the output’s research was the result of a collaboration between Chen, members of the University of Aberystwyth, and the North China Electric Power University, Baoding, China. It was published in the EAAI journal, ranked Q1 by Scimago, and introduces an innovative method for ordered weighted aggregation of fuzzy relations. Its novelty lies in the integration of component relations generated from different perspectives of a certain observation to form an overall fuzzy relation.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -