May 2018
Beginner to intermediate
384 pages
10h 19m
English
book
Artificial Intelligence for Big Data
by Anand Deshpande, Manish Kumar, Albenzo Coletta, Giancarlo Zaccone
Content preview from Artificial Intelligence for Big Data
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Defuzzification
Defuzzification is a process by which the actionable outcomes are generated as quantifiable values. Since computers can only understand the crisp sets, it can also be seen as a process of converting fuzzy set values based on the context into a crisp output. Defuzzification interprets the membership value based on the shape of the membership function into a real value. The defuzzified value represents the action to be taken by the intelligent machine based on the contextual inputs. There are multiple defuzzification techniques available; the one that is used for a given problem depends on the context.
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