By John G. Webster (Editor)
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Additional resources for 28.Industry Applications
Fuzzification, Fuzzy Inference, and Defuzzification Fuzzification is the process of converting the discrete or crisp input variables to fuzzy variables. It is essentially a mapping between the range of input to the membership values of each fuzzy variable. This is where the definitions of fuzzy sets determine the membership values. Based on the composition rule of inference, the fuzzified input is then applied to each rule in the rule base to determine the membership value of the output from each rule.
Basic operations on the fuzzy sets are similar to those used in classical logic operations. They are complement (NOT), intersection (AND), and union (OR). Similar to the many mathematical expressions proposed to implement the fuzzy functions, there have been numerous methods suggested to calculate the results of the fuzzy operations. Again, the most popular and simple method is described here, and readers interested in other forms are encouraged to consult the reading list. The basic operations are Complement (NOT): Intersection (AND): Union (OR): µ−A (x) = 1 − µA (x) µA (x) µB ( y) = min[µA (x), µB (x)] µA (x) µB (x) = max[µA (x), µB (x)] (21) Two sets A and B are defined by two different variables, x and y.
BUILDING WIRING 17 18 • • BUILDING WIRING Long-time behavior when exposed to higher, lower, or changing temperature, to humidity, and to any chemicals and gases in the environment and when the cable is installed. Stability of electrical characteristics with respect to the earth potential. Some constructions of cables are more sensible to the influence of earth potential near the cable. , to the reinforcing steel within concrete) may repeatedly change the impedance of a cable. The cabling standard ISO/IEC 11801 (1) primarily specifies the minimum channel performance, in particular for the material needed to implement channels spanning the recommended maximum horizontal distance.
28.Industry Applications by John G. Webster (Editor)