Interval valued intuitionistic fuzzy sets
Fuzzy Sets and Systems
Structures on intuitionistic fuzzy relations
Fuzzy Sets and Systems
Optimization in an intuitionistic fuzzy environment
Fuzzy Sets and Systems
Generalized compositions of fuzzy relations
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
On the relationship between some extensions of fuzzy set theory
Fuzzy Sets and Systems - Theme: Basic notions
On the composition of intuitionistic fuzzy relations
Fuzzy Sets and Systems - Theme: Basic concepts
Multiattribute decision making models and methods using intuitionistic fuzzy sets
Journal of Computer and System Sciences
Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets
Journal of Computer and System Sciences
Information Sciences: an International Journal
Fuzzy Sets and Systems
Intuitionistic Fuzzy Sets: Theory and Applications
Intuitionistic Fuzzy Sets: Theory and Applications
Entropy, similarity measure of interval-valued intuitionistic fuzzy sets and their applications
Information Sciences: an International Journal
A new method of obtaining the priority weights from an interval fuzzy preference relation
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
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The goal of this paper is to consider properties of Atanassov's intuitionistic fuzzy relations which were introduced by Atanassov in 1986. Fuzzy set theory turned out to be a useful tool to describe situations in which the data are imprecise or vague. Atanassov's intuitionistic fuzzy set theory is a generalization of fuzzy set theory which was introduced by Zadeh in 1965. This paper is a continuation of examinations by Pe@?kala [22] on the interval-valued fuzzy relations. We study standard properties of Atanassov's intuitionistic fuzzy relations in the context of Atanassov's operators.