Fuzzy collaborative clustering-based ranking approach for complex objects
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Publication:1665820
DOI10.1155/2015/495829zbMath1394.68385OpenAlexW1608900735WikidataQ59118761 ScholiaQ59118761MaRDI QIDQ1665820
Tauqir Ahmed Moughal, Shihu Liu, Fu-Sheng Yu, Xiao-Zhou Chen
Publication date: 27 August 2018
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2015/495829
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Reasoning under uncertainty in the context of artificial intelligence (68T37) Multivariate analysis and fuzziness (62H86)
Uses Software
Cites Work
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- Gradualness, uncertainty and bipolarity: making sense of fuzzy sets
- Trapezoidal approximation and aggregation
- Some information measures for interval-valued intuitionistic fuzzy sets
- P-FCM: a proximity-based fuzzy clustering
- A review of some methods for ranking fuzzy subsets
- Intuitionistic fuzzy sets
- A subjective approach for ranking fuzzy numbers
- Fuzzy partitions and relations; an axiomatic basis for clustering
- TOPSIS for MODM
- P-FCM: A proximity-based fuzzy clustering for user-centered web applications.
- Review of ranking methods in the data envelopment analysis context
- Multiple criteria decision analysis. State of the art surveys
- Learning to rank on graphs
- A novel method for dynamic multicriteria decision making with hybrid evaluation information
- Interval ordered information systems
- QoRank: A query-dependent ranking model using LSE-based weighted multiple hyperplanes aggregation for information retrieval
- Multiple Attribute Decision Making
- A fuzzy preference-ranking model for a quality evaluation of hospital web sites
- Collaborative fuzzy clustering
- ON DOMINANCE RELATIONS IN DISJUNCTIVE SET-VALUED ORDERED INFORMATION SYSTEMS
- A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
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