Twenty years after their inception, intuitionistic fuzzy sets are on the rise towards making their "claim to fame". Competing along-side various other, often closely related, formalisms, they are catering to the needs of a more demanding and rapidly expanding knowledge-based systems industry. In this paper, we develop the notion of a graded inclusion indicator within this setting, drawing inspiration from related concepts in fuzzy set theory, yet keeping a keen eye on those particular challenges raised specifically by intuitionistic fuzzy set theory. The use of our work is demonstrated by its applications in approximate reasoning and non-probabilistic entropy calculation.
CITATION STYLE
Cornelis, C., & Kerre, E. (2003). Inclusion measures in intuitionistic fuzzy set theory. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 2711, pp. 345–356). Springer Verlag. https://doi.org/10.1007/978-3-540-45062-7_28
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