K-means clustering for the aggregation of HFLTS possibility distributions: N-two-stage algorithmic paradigm

ZS Chen, X Zhang, W Pedrycz, XJ Wang… - Knowledge-Based …, 2021 - Elsevier
The use of the hesitant fuzzy linguistic term sets (HFLTSs) has recently become an important
trend in fuzzy decision making, and aggregating HFLTSs and their extensions has now …

K-means clustering for the aggregation of HFLTS possibility distributions: N-two-stage algorithmic paradigm

ZS Chen, X Zhang, W Pedrycz… - Knowledge-Based …, 2021 - scholars.cityu.edu.hk
The use of the hesitant fuzzy linguistic term sets (HFLTSs) has recently become an important
trend in fuzzy decision making, and aggregating HFLTSs and their extensions has now …

K-means clustering for the aggregation of HFLTS possibility distributions:: N-two-stage algorithmic paradigm

ZS Chen, X Zhang, W Pedrycz, XJ Wang, KS Chin… - 2021 - dl.acm.org
The use of the hesitant fuzzy linguistic term sets (HFLTSs) has recently become an important
trend in fuzzy decision making, and aggregating HFLTSs and their extensions has now …

K-means clustering for the aggregation of HFLTS possibility distributions: N-two-stage algorithmic paradigm

ZS Chen, X Zhang, W Pedrycz… - Knowledge-Based …, 2021 - scholars.cityu.edu.hk
K-means clustering for the aggregation of HFLTS possibility distributions - CityU Scholars | A
Research Hub of Excellence Researcher login City University of Hong Kong City University of …