The fuzzyfier block turns the actual input value (crisp) into its corresponding fuzzy value
(15) and the inference block is the central block where the rules that form the database are processed and used by the processor to solve a particular problem, thus generating the fuzzy output values.
of the mean of the experts' opinion is presented in Table 6 to determine the priority of the structural sub-criteria.
The values of ambiguous inputs form curves called membership functions where each value is reflected to a fuzzy value
. These actions are controlled by the fuzzy logic controller as illustrated by the figure 2.
Figure 8(a) shows the fuzzy value
output for Qir, we do not see significant variation in distribution shapes when compared to the original symmetric quasi-Gaussian distribution of the uncertain parameters [p.sub.1], [p.sup.2], [p.sub.3], [p.sub.4] and [p.sub.5].
Each input variable gets a corresponding fuzzy value
The aggregation operators (resp., fuzzy aggregation operators) are useful models for combining and summarizing a finite set of numerical values (resp., fuzzy values
) into a single numerical value (resp., fuzzy value
Here, the A will represent the fuzzy value
of the variable, and B will represent the degree of truth or reliability measure or probability of A; for example, X is A that is referred to as a possibilitic restriction, that is,
The present fuzzy value
of a credit default swap [??] is given as
With the use of FNs, it is possible to analyze the real situation into the fuzzy value
. Here is the definition of OWA.
Each fuzzy value
combination is mapped to a transmission ability rank according to the rules.
For the ease of understanding Atanassov  called [alpha] = ([[mu].sub.a], [v.sub.[alpha]]) which is an intuitionistic fuzzy value
The more the qualitative indexes approach the ideal maximal fuzzy value
, the more the magnitude approaches 1; by contrast, the more the qualitative indexes approach the ideal minimal fuzzy value
, the more the magnitude approaches 0.