Since, our aim is to discover subtle differences in the gene regulation when the induction conditions are changed, a traditional crisp method like SEBI will be more useful for identifying the best induction condition.
Anistranski, who served as the Americal Division's G-5 (in charge of pacification and civil affairs) early in 1968, told me that he particularly remembered the General's crisp method of barking orders.
Then the perioperative nurse can use the steps of the CRISP method to identify nursing actions related to specific arrhythmias, including determining whether QRS complexes are present, P waves are present, and QRS complexes are wide or narrow or whether there are more P waves than QRS complexes.
It is a popular Word Press framework with crystal and crisp methods.
In the crisp methods, the measured data are just sufficient for unique characterization of the source.
Over-determined methods use more number of loads than the crisp methods and are motivated for possible minimization of variations due to measurement errors.
It is difficult to express the character and significance of criteria exactly or clearly in crisp methods [10].
The crisp methods cannot solve problem with decision-makers' uncertainties, ambiguities and vagueness (Kulak and Kahraman 2005).
The defuzzification step is the final stage of the fuzzy inference process which is accomplished by the defuzzifier by converting the output fuzzy set into a crisp number using different methods such as: centroid of area, bisector of area, mean of maxima, or maximum criteria.
The first group is composed of methods based on a crisp neighborhood system such as the Markov random field (MRF) [14] and related generalized methods [15, 16].
Defuzzification refers to the method by which a crisp value is extracted from a fuzzy set as a representative value.
