53 lines
2.3 KiB
Plaintext
53 lines
2.3 KiB
Plaintext
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WHAT IS FUZZY LOGIC?
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Fuzzy logic is a powerful problem-solving methodology with a myriad of
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applications in embedded control and information processing. Fuzzy logic
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provides a remarkably simple way to draw definite conclusions from vague,
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ambiguous or imprecise information. In a sense, fuzzy logic resembles
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human decision making with its ability to work from approximate data and
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find precise solutions.
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Fuzzy logic is based on fuzzy set theory. Unlike traditional " either/or"
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set theory, fuzzy logic does not impose rigid classifications such as true
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or false, black and white, 0 or 1, etc. Membership in fuzzy sets is a
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continuous phenomenon, with values ranging from 0 to 1. This allows
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programmers to model vague and subjective concepts such as "very hot,"
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"bright red," and "a long time".
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WHY USE FUZZY LOGIC?
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Using fuzzy logic, system designers can realize lower development costs,
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superior features, and better end product performance. Most importantly,
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products can be brought to market faster and more cost-effectively.
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Several factors that make fuzzy logic so desirable to the system designer.
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1. Describe and model solutions to a problem without having to use complex
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mathematical models for systems and development.
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2. Optimize a known solution in order to obtain a simpler and more
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effective implementation.
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3. Simplify the system design process, thereby decreasing development
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costs.
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4. Make the system more descriptive. A system is more convenient to
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manage, maintain, and upgrade, and is easier to differentiate with less
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risk.
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5. Have a higher fault-tolerance and a better trade-off between system
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robustness and system sensitivity.
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6. Provide products with powerful features and performance within a price
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range unmatched by other solutions.
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For Further Information Contact:
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APTRONIX
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2150 North First Street
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San Jose, CA 95131
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(408) 428-1888
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Fax (408)-428-1884
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FuzzyNet (408)428-1883 data 8/N/1
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