Corpus ID: 55668038

A Brief History of Fuzzy Logic

@inproceedings{Garrido2012ABH,
  title={A Brief History of Fuzzy Logic},
  author={Angel Garrido},
  year={2012}
}
The problems of uncertainty, imprecision and vagueness have been discussed for many years. These problems have been major topics in philosophical circles with much debate, in particular, about the nature of vagueness and the ability of traditional Boolean logic to cope with concepts and perceptions that are imprecise or vague. The Fuzzy Logic (which is usually translated into Castilian by “Logica Borrosa”, or “Logica Difusa”, but also by “Logica Heuristica”) can be considered a bypass-valued… Expand
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References

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TLDR
Fuzzy Logic is a multivalued logic, that allows intermediate values to be defined between conventional evaluations like true/false, yes/no, high/low, etc, that can be formulated mathematically and processed by computers, in order to apply a more human-like way of thinking in the programming of computers. Expand
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It is well-known that Artificial Intelligence requires Logic. But its Classical version shows too many insufficiencies. So, it is very necessary to introduce more sophisticated tools, as may be FuzzyExpand
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As is well-known in recent years, there are two kinds of uncertainities, randomness and fuzziness, which can be both dealt with from a mathematical point of view. We know the concept of probabilitiesExpand
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This book effectively constitutes a detailed annotated bibliography in quasitextbook style of the some thousand contributions deemed by Messrs. Dubois and Prade to belong to the area of fuzzy setExpand
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TLDR
By relying on the use of linguistic variables and fuzzy algorithms, the approach provides an approximate and yet effective means of describing the behavior of systems which are too complex or too ill-defined to admit of precise mathematical analysis. Expand
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TLDR
It is proposed that adaptive techniques in linguistic controllers currently being studied may provide a useful possible approach to the use of fuzzy logic in the synthesis of controllers for dynamic plants. Expand
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TLDR
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TLDR
It is concluded that the proposedl new fuzzy inference system can not only incorporate prior knowledge about the original system but also fine-tune the membership functions of the fuzzy rules as the training data set varies. Expand
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