articleTop 10% cited
Group decision making with a fuzzy linguistic majority
Fuzzy Sets and Systems · 1986 · Vol. 18(2) · pp. 105–118
Janusz Kacprzyk✉(Polish Academy of Sciences)
Multi-Criteria Decision MakingData Management and AlgorithmsRough Sets and Fuzzy LogicMathematicsFuzzy logicType-2 fuzzy sets and systemsGroup decision-makingFuzzy setFuzzy numberFuzzy classificationDefuzzificationPreference relationFuzzy set operations
Citations
692
FWCI
6.44
field-weighted impact
References
18
Percentile
97%
vs. same field & year
Citations per year
Cited by
Uncertain linguistic aggregation operators based approach to multiple attribute group decision making under uncertain linguistic environment
Information Sciences · 2004 · 778 citations
Direct approach processes in group decision making using linguistic OWA operators
Fuzzy Sets and Systems · 1996 · 664 citations
A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets
Information Sciences · 2013 · 566 citations
A sequential selection process in group decision making with a linguistic assessment approach
Information Sciences · 1995 · 631 citations
Linguistic decision analysis: steps for solving decision problems under linguistic information
Fuzzy Sets and Systems · 2000 · 1,557 citations
A fusion approach for managing multi-granularity linguistic term sets in decision making
Fuzzy Sets and Systems · 2000 · 798 citations
A method based on linguistic aggregation operators for group decision making with linguistic preference relations*1
Information Sciences · 2003 · 965 citations
Integrating three representation models in fuzzy multipurpose decision making based on fuzzy preference relations
Fuzzy Sets and Systems · 1998 · 769 citations
References
A computational approach to fuzzy quantifiers in natural languages
Computers & Mathematics with Applications · 1983 · 1,821 citations
Fuzzy preference orderings in group decision making
Fuzzy Sets and Systems · 1984 · 1,171 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.