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Wednesday, August 31, 2016

Fuzzy logic

Fuzzy logic is a rise of Boolean logic dealing with the concept of partial truth . When classical logic to claim that everything can be expressed in terms of a binary ( 0 or 1 , black or white , yes or no) , replacing the fuzzy logic boolean truth to the level of truth . Fuzzy logic allows the membership value between 0 and 1 , the level of gray as well as black and white , and in linguistic form , the concept would not have been such a "little" , " middling " and " very" . This logic associated with fuzzy sets and probability theory . Fuzzy logic was introduced by Dr. Lotfi Zadeh of the University of California , Berkeley in 1965 .
Fuzzy logic is a rise of Boolean logic dealing with the concept of partial truth. When classical logic to claim that everything can be expressed in terms of a binary (0 or 1, black or white, yes or no), replacing the fuzzy logic boolean truth to the level of truth. Fuzzy logic if the Indonesian or Fuzzy logic is a technique / method used to address things that are uncertain at the problem - a problem that has many answers. Basically Fuzzy logic is the logic of many valued / multivalued logic is able to define the state of values ​​between the conventional ones such as true or false, yes or no, white or black and others. Fuzzy Logic Reasoning memnyediakan way to understand the performance of the system by assessing the input and output system of observation. Fuzzy logic provides a way to describe any definitive conclusions from the information vague, ambiguous and imprecise. Fuzzy logic First developed by Lotfi A. Zadeh in 1965. Fuzzy logic is used Kenpa reasons: - Since the concept of fuzzy logic is easy to understand. - Fuzzy Logic flexible. - Fuzzy Logic is able to model nonlinear functions are very complex. - Fuzzy logic can work with techniques conventional control. - Fuzzy Logic tolerance for the right data. - Fuzzy logic is based on natural language. - Fuzzy Logic can develop and apply the experiences of experts directly without having to go through the training process. Below are some examples of applications Fuzzy Logic: • Car Braking System (Nissan). • Control the subway in Sendai, Japan. • AC Power Saving Power Consumption (Mitsubhishi Heavy Industries Tokyo). That is the information I can convey about Understanding Fuzzy logic / fuzzy logic may be useful.

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