Fuzzy logic
Fuzzy Logic is a superset of Boolean logic dealing with the concept of partial truth.
Fuzzy logic is a form of multi-valued logic derived from fuzzy set theory to deal with reasoning that is approximate rather than accurate.
Fuzzy Logic Definition
Fuzzy logic means inexact reasoning, data granulation, computing with words and so on.
INTRODUCTION
WHERE DID FUZZY LOGIC COME FROM?
WHAT IS FUZZY LOGIC?
HOW IS FL DIFFERENT FROM CONVENTIONAL CONTROL METHODS?
HOW DOES FL WORK?
SUMMARY
REFERENCES
PART II - Why Use Fuzzy Logic ...
Fuzzy Logic
Fuzzy sets can be manipulated with logic expressions which are similar to those used with ordinary sets and logic.
Another area the fuzzy logic is used is hand-writing recognition - especially here in Japan, complicated Kanji strokes can be detected as they're written using fuzzy methods.
Fuzzy Logic
Making Inferences with Imprecise Concepts
AITopics > Reasoning > Reasoning under Uncertainty > Fuzzy Logic ...
Fuzzy Logic
Figure 2: Trajectory of an agent avoiding a set of obstacles represented as black boxes. Simple fuzzy rules are used to determine the steering action.
Fuzzy Logic
Fuzzy Associative Memory
A software structure that collects fuzzy sets, works with them, and produces an output that assists in decision making.
Fuzzy logic
Fuzzy logic is a technique often used in modern AI. It is a form of logic where each variable can have many different values, instead of just 2.
Fuzzy logic. A technique used in artificial intelligence that works on a balance of probabilities for rules, rather than precise matching of data or patterns. Examples of its use are found in text retrieval and case based reasoning applications.
Fuzzy Logic
Traditional Western logic systems assume that things are either in one category or another. Yet in everyday life, we know this is often not precisely so.
Logic and Fuzzy Logic
Regardless of the technique that is used to perform certain AI functions, most software is created using complex mathematical logic.
Already the Japanese are using a related technology, fuzzy logic, in this way. There is considerable interest in the combination of fuzzy and neural technologies.
Some comments (added September 2001) ...
It relies on "fuzzy logic," an extension of Boolean logic which allows truth values to be partial rather than entirely true or entirely false. This can be applied to personal identity as follows.
Fuzzy logic, first pioneered in the US has the unique ability to make decisions under uncertain conditions. Also neural networks were being reconsidered as possible ways of achieving Artificial Intelligence.
International Journal of Engineering Simulation (IJES) - Computer software/hardware simulation tools and development, including Virtual Reality and Virtual Prototyping, Numerical analysis, Fuzzy Logic,Neural Networks, Fractals and Chaos theory, ...
Artificial Intelligence Tutorials: Data Mining ▫ Neural Networks ▫ Fuzzy Logic ▫ Genetic Algorithms
Tutoriales de Inteligencia artificial: Redes Neuronales ▫ Lógica Fuzzy ▫ ...
Fuzzy logic, a version of first order logic which allows the truth of statement to represented as a value between 0 and 1, rather than simply True (1) or False (0).
Welstead, S. T. (1994). Neural network and fuzzy logic applications in C/C++. New York: Wiley.
Werbos, P.J. (1974). Beyond regression: new tools for prediction and analysis in the behavioural sciences. Ph.D. thesis, Harvard University, Boston, MA.
Default reasoning
Rule-based methods for uncertain reasoning
Representing ignorance: Dempster-Shafer theory
Representing vagueness: Fuzzy sets and fuzzy logic ...
Consequently, most of those 'baby machines' were designed to use the techniques called Neural Networks, Perceptrons, Fuzzy Logic systems, and 'Statistical Learning Programs.
Much of what is currently labeled AI research follows a functional model, applying particular programming techniques, such as knowledge engineering, fuzzy logic, genetic algorithms, neural networking, heuristic searching, ...
systems which have learned to recognise simple entities (e.g. walls looming, or simple commands like Go, or Stop), may lead to their incorporation in toys and washing machines etc. Already the Japanese are using a related technology, fuzzy logic, ...
Finally, the rest of the book is devoted to uncertain reasoning and hybrid knowledge-based systems, with a particular emphasis on probabilistic reasoning, fuzzy logic, and the integration of symbolic and connectionist systems.
 See also: Artificial intelligence, AI, Neural network, Knowledge, Expert system
  
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