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Hence, by Definition 4.1, we have two educational fuzzy processes.
When we have several fuzzy processes, a criterion for comparing of two fuzzy subsets is needed.
In section Fuzzy process capability indices, we review the new extended process capability indices from Parchami et al. [9], also we present a method based on a binary relation for the comparison of fuzzy processes.
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Fig. 2 Interval type 2 fuzzy process.
The derivative of a fuzzy process is defined by (2.3).
Also, Liu has proposed the concept of fuzzy process [30 32].
In this paper, we discuss on such fuzzy qualities and review some fuzzy process capability indices.
A fuzzy process is basically a sequence of fuzzy variables indexed by time or space.
In [1] the authors studied the basic definitions and properties of fuzzy process, fuzzy number and so on.
A mapping (x Irightarrow E_{N}) is called a fuzzy process.
The fuzzy process with -level set is a fuzzy solution of (3.3) without nonhomogeneous term if and only if (3.6).
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