Fuzzy Sets and Systems
Structures on intuitionistic fuzzy relations
Fuzzy Sets and Systems
Fuzzy rough sets are intuitionistic L-fuzzy sets
Fuzzy Sets and Systems
Uncertainly measures of rough set prediction
Artificial Intelligence
Distances between intuitionistic fuzzy sets
Fuzzy Sets and Systems
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Intuitionistic fuzzy information - Applications to pattern recognition
Pattern Recognition Letters
Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets
Journal of Computer and System Sciences
Information Sciences: an International Journal
Intuitionistic preference relations and their application in group decision making
Information Sciences: an International Journal
Fuzzy Optimization and Decision Making
Knowledge structure, knowledge granulation and knowledge distance in a knowledge base
International Journal of Approximate Reasoning
Fuzzy Sets and Systems
Information-theoretic measures of uncertainty for rough sets and rough relational databases
Information Sciences: an International Journal
A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection
Expert Systems with Applications: An International Journal
Entropy, similarity measure of interval-valued intuitionistic fuzzy sets and their applications
Information Sciences: an International Journal
A novel approach to multi-attribute decision making based on intuitionistic fuzzy sets
Expert Systems with Applications: An International Journal
Rough approximation operations based on IF sets
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Intuitionistic Fuzzy Aggregation Operators
IEEE Transactions on Fuzzy Systems
Information Granularity in Fuzzy Binary GrC Model
IEEE Transactions on Fuzzy Systems
Hi-index | 0.00 |
Atanassov's intuitionistic fuzzy T equivalence information systems are natural extensions of fuzzy T equivalence information systems. The aim of this paper is to investigate the uncertainty measures of knowledge in Atanassov's intuitionistic fuzzy T equivalence information systems. At the first, we introduce the concepts of knowledge granulation, knowledge entropy and knowledge uncertainty measure in Atanassov's intuitionistic fuzzy T equivalence information systems, and some important properties of them are studied. From these properties, it can be shown that these measures provide important approaches to measuring the discernibility ability of different knowledge in Atanassov's intuitionistic fuzzy T equivalence information systems. And relationships among knowledge granulation, knowledge entropy and knowledge uncertainty measure are considered. Furthermore, we introduce the definition of rough entropy of rough sets in Atanassov's intuitionistic fuzzy T equivalence information systems. By an example, it is shown that the rough entropy of rough set is more accurate than natural extension of classical rough degree to measure the roughness of rough set in Atanassov's intuitionistic fuzzy T equivalence information systems.