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Then, the pixels of final map were classified into five groups regarding to their fuzzy value.
Each concept has associated a fuzzy value which determines the degree of the correspondence.
In order to ground the formal basis for dealing with real-world information, Zadeh suggested the concept of a Z-number as an ordered pair Z="(A,B) of fuzzy numbers used to describe a value of a random variable X, where A is a fuzzy constraint on values of X and B is a fuzzy value of probability measure of A. Unfortunately, there is no study on functions of Z-numbers in existence.
For fuzzy value functions (f:[a,b]rightarrowmathbb{R}_{f}).
Parameter α is a fuzzy value within the interval.
This fully emotional model uses large fuzzy value.
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Hence, the proposed methodology requires performance assessment using fuzzy values.
Previous work has shown that fuzzy values can be used to describe the difference in output of a rough neuron.
This paper proposes a novel preference degree algorithm to rank intuitionistic fuzzy values (IFVs) and applies it to multi-attribute group decision making (MAGDM) with IFVs.
Fuzzy values provide the input for the CA Sub-Model where MPB attack behaviour is constrained by the susceptibility level of trees.
First, A technique for order preference by similarity to ideal solution (TOPSIS) based method is presented to rank intuitionistic fuzzy values (IFVs).
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