Seyyedeh Fatemeh Molaeezadeh

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The theoretical and computational complexities involved in non-uniform type-2 fuzzy sets (T2 FSs) are main obstacles to apply these sets to modeling high-order uncertainties. To reduce the complexities, this paper introduces a 2uFunction representation for T2 FSs. This representation captures the ideas from probability theory. By using this representation,(More)
Crying is the first way through which infants communicate with others. Various cries of infants have different meanings and origins, such as hunger, pain, etc. Therefore, the analysis of infant cries could help adults to earlier understand its needs, and diagnose its diseases. For this purpose, this paper uses the type-2 fuzzy pattern matching as a method(More)
The computational complexities in Gaussian type-2 fuzzy sets (GT2FSs) are main obstacles to apply these sets to modeling high order uncertainties. To model a Gaussian uncertainty this paper introduces a new representation named 3uFunction for GT2FSs. This representation is a development of 2uFunction representation. In fact, it is based on a Hierarchical(More)
To overcome the complexities in Type-2 Fuzzy Sets (T2FSs) and to present a general model for chaotic FSs, this paper introduces new FSs called Bifurcating FSs (BFSs). The BFS is inspired from human brain. Mathematically, it is equivalent to the coupled chaotic map in which one of the variables is a fuzzy membership function. Biologically, it is equivalent(More)
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