Corpus ID: 55668038

A Brief History of Fuzzy Logic

  title={A Brief History of Fuzzy Logic},
  author={Angel Garrido},
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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The four controllers discussed in this paper are compared against other control techniques that have already been shown in previously published literature to provide good control performance when applied to this system. Expand
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A novel system based on Interval Type-2 Fuzzy Logic Classification Systems (IT2FLCS) whose parameters are optimized by the Big Bang–Big Crunch (BB-BC) algorithm, which allows for the automatic scenes classification using optimized rules in broadcasted soccer matches video. Expand


Fuzzy Logic
  • L. Zadeh
  • Computer Science
  • Encyclopedia of Complexity and Systems Science
  • 2009
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
Searching the Arcane Origins of Fuzzy Logic
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
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
Fuzzy sets and systems: theory and applications
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
Fuzzy thinking. The new science of fuzzy logic
Interestingly, fuzzy thinking the new science of fuzzy logic that you really wait for now is coming. It's significant to wait for the representative and beneficial books to read. Every book that isExpand
Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
  • L. Zadeh
  • Computer Science
  • IEEE Trans. Syst. Man Cybern.
  • 1973
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
Advances in the linguistic synthesis of fuzzy controllers
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
Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis
  • E. Mamdani
  • Mathematics, Computer Science
  • IEEE Transactions on Computers
  • 1977
An avenue for further work in this area is described where the need is to go beyond a purely descriptive approach, and means for implementing a prescriptive or a self-organizing system are explored. Expand
Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review]
Interestingly, neuro fuzzy and soft computing a computational approach to learning and machine intelligence that you really wait for now is coming. It's significant to wait for the representative andExpand
Fuzzy Modeling Using Generalized Neural Networks and Kalman Filter Algorithm
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