Correlation of interval-valued intuitionistic fuzzy sets
Fuzzy Sets and Systems
Correlation of intuitionistic fuzzy sets in probability spaces
Fuzzy Sets and Systems
Vague sets are intuitionistic fuzzy sets
Fuzzy Sets and Systems
A note on correlation of interval-valued intuitionistic fuzzy sets
Fuzzy Sets and Systems
Fuzzy Sets and Systems
Correlation and information energy of interval-valued fuzzy numbers
Fuzzy Sets and Systems
Fuzzy measures for correlation coefficient of fuzzy numbers
Fuzzy Sets and Systems
Fuzzy probabilities for web planning
Soft Computing - A Fusion of Foundations, Methodologies and Applications
A correlation coefficient for intuitionistic fuzzy sets
International Journal of Intelligent Systems
Fuzzy Probability and Statistics (Studies in Fuzziness and Soft Computing)
Fuzzy Probability and Statistics (Studies in Fuzziness and Soft Computing)
Statistical confidence intervals for fuzzy data
Expert Systems with Applications: An International Journal
Maintaining consistency of vague databases using data dependencies
Data & Knowledge Engineering
Vague sets or intuitionistic fuzzy sets for handling vague data: which one is better?
ER'05 Proceedings of the 24th international conference on Conceptual Modeling
Mathematical and Computer Modelling: An International Journal
Vague Correlation Coefficient of Interval Vague Sets
International Journal of Fuzzy System Applications
Vague Correlation Coefficient of Interval Vague Sets
International Journal of Fuzzy System Applications
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Various attempts have been made by researchers on the study of vagueness of data through intuitionistic fuzzy sets and vague sets, and also it was shown that vague sets are intuitionistic fuzzy sets. But there are algebraic and graphical differences between vague sets and intuitionistic fuzzy sets. In this paper an attempt is made to define the correlation coefficient of interval vague sets lying in the interval [0, 1], and a new method for computing the correlation coefficient of interval vague sets lying in the interval [-1, 1] using a-cuts over the vague degrees through statistical confidence intervals is presented by an example. The new method proposed in this paper produces a correlation coefficient in the form of an interval.