10.35940/ijrte.D6586.1110421
https://zenodo.org/records/5625407
oai:zenodo.org:5625407
Roopa Chandrika R
Roopa Chandrika R
Computer Science, Malla Reddy College of Engineering and Technology, Hyderabad, Telangana, India
Gowri Ganesh N.S
Gowri Ganesh N.S
Computer Science, Malla Reddy College of Engineering and Technology, Hyderabad, Telangana, India
Mummoorthy A
Mummoorthy A
Computer Science, Malla Reddy College of Engineering and Technology, Hyderabad, Telangana, India
Gayathri M
Gayathri M
Computer Science, Malla Reddy College of Engineering and Technology, Hyderabad, Telangana, India
Aggregation Operators in Hesitant Fuzzy Set for Decision Making
Zenodo
2021
Aggregation Operators, Hesitant Reviews, Hesitant Fuzzy Sets, Sentiment Analysis
Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
Publisher
2021-11-30
eng
2277-3878
Creative Commons Attribution 4.0 International
Uncertainty is prevalent in a wide range of real-world issues. The fuzzy sets, vague sets or intuitionistic fuzzy sets are widely used in recent years for decision making and various analysis where uncertainty is predominant. An extension of fuzzy sets is Hesitant Fuzzy Sets, which deals with ambiguous situations that arise when determining an element's membership degree in a set. Researchers have defined various ideas, extensions, aggregation operators, and measurements to deal with reluctant information as a result of this new approach. Machine leaning algorithms are also exploiting hesitant fuzzy sets for better decision making.