
The paper offers a concise and focused view at intuitionistic fuzzy sets cast in the framework of various formalisms used to model uncertainty. In a nutshell, intuitionistic sets are useful in capturing concepts where a degree of membership of a certain point, \(A(x)\), taken along with a degree of non-membership, \(A^\sim(x)\), satisfy the relationship \(A(x)+A^\sim(x)\leq 1\). This concept is compared vis-à-vis some other commonly encountered models of uncertainty, in particular interval-valued fuzzy sets, \(L\)-fuzzy sets, soft sets and a number of interesting linkages between them and intuitionistic fuzzy sets are revealed. The study offers an interesting diagram summarizing the main dependencies between all these constructions.
models of uncertainty, taxonomy, comparative analysis, intuitionistic fuzzy set, \(L\)-fuzzy set, vagueness, soft set, Theory of fuzzy sets, etc., Reasoning under uncertainty in the context of artificial intelligence, interval-valued fuzzy set, probabilistic set
models of uncertainty, taxonomy, comparative analysis, intuitionistic fuzzy set, \(L\)-fuzzy set, vagueness, soft set, Theory of fuzzy sets, etc., Reasoning under uncertainty in the context of artificial intelligence, interval-valued fuzzy set, probabilistic set
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