# مقیاس فازی

## English translation: Fuzzy Logic, Fuzzy Measure

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GLOSSARY ENTRY (DERIVED FROM QUESTION BELOW)
 Farsi (Persian) term or phrase: مقیاس فازی English translation: Fuzzy Logic, Fuzzy Measure Entered by:

 16:07 Nov 2, 2007
Farsi (Persian) to English translations [PRO]
Mathematics & Statistics
 Farsi (Persian) term or phrase: مقیاس فازی تبدیل داده های کیفی به کمی پیوسته با استفاده از مقیاسهای فازی انجام گرفت.
 Local time: 04:40
 Fuzzy Logic, Fuzzy Measure Explanation:Fuzzy logic is derived from fuzzy set theory dealing with reasoning that is approximate rather than precisely deduced from classical predicate logic. It can be thought of as the application side of fuzzy set theory dealing with well thought out real world expert values for a complex problem (Klir 1997). Degrees of truth are often confused with probabilities. However, they are conceptually distinct; fuzzy truth represents membership in vaguely defined sets, not likelihood of some event or condition. For example, if a 100-ml glass contains 30 ml of water, then, for two fuzzy sets, Empty and Full, one might define the glass as being 0.7 empty and 0.3 full. Note that the concept of emptiness would be subjective and thus would depend on the observer or designer. Another designer might equally well design a set membership function where the glass would be considered full for all values down to 50 ml. A probabilistic setting would first define a scalar variable for the fullness of the glass, and second, conditional distributions describing the probability that someone would call the glass full given a specific fullness level. Note that the conditioning can be achieved by having a specific observer that randomly selects the label for the glass, a distribution over deterministic observers, or both. While fuzzy logic avoids talking about randomness in this context, this simplification at the same time obscures what is exactly meant by the statement the 'glass is 0.3 full'. Fuzzy logic allows for set membership values to range (inclusively) between 0 and 1, and in its linguistic form, imprecise concepts like "slightly", "quite" and "very". Specifically, it allows partial membership in a set. It is related to fuzzy sets and possibility theory. It was introduced in 1965 by Lotfi Zadeh at the University of California, Berkeley. Fuzzy logic is controversial in some circles and is rejected by some control engineers and by most statisticians who hold that probability is the only rigorous mathematical description of uncertainty.[verification needed] Critics also argue that it cannot be a superset of ordinary set theory since membership functions are defined in terms of conventional sets.
Selected response from:

TARJOMEH GAR
Local time: 04:40
 4 KudoZ points were awarded for this answer

5 +3Phase scale
5Fuzzy Logic, Fuzzy MeasureTARJOMEH GAR
4phase measure
 Ebrahim Golavar

1 hr   confidence: peer agreement (net): +3
Phase scale

Explanation:
Again, google search will show you several results.

 Mohammad Reza RazaghiIranLocal time: 04:40Native speaker of: Farsi (Persian), Persian (Farsi)PRO pts in category: 24

agree
 28 mins
-> Thank you!

agree
 2 hrs
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agree  Armineh Johannes: armineh johannes
 2 hrs
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agree
 4 days
-> Thank you!

disagree  TARJOMEH GAR: Fuzzy but not phase
 44 days

2 days23 hrs   confidence:
phase measure

Explanation:
gg

 Ebrahim GolavarIranLocal time: 04:40Native speaker of: Farsi (Persian), Persian (Farsi)

44 days   confidence:
Fuzzy Logic, Fuzzy Measure

Explanation:
Fuzzy logic is derived from fuzzy set theory dealing with reasoning that is approximate rather than precisely deduced from classical predicate logic. It can be thought of as the application side of fuzzy set theory dealing with well thought out real world expert values for a complex problem (Klir 1997).

Degrees of truth are often confused with probabilities. However, they are conceptually distinct; fuzzy truth represents membership in vaguely defined sets, not likelihood of some event or condition. For example, if a 100-ml glass contains 30 ml of water, then, for two fuzzy sets, Empty and Full, one might define the glass as being 0.7 empty and 0.3 full. Note that the concept of emptiness would be subjective and thus would depend on the observer or designer. Another designer might equally well design a set membership function where the glass would be considered full for all values down to 50 ml. A probabilistic setting would first define a scalar variable for the fullness of the glass, and second, conditional distributions describing the probability that someone would call the glass full given a specific fullness level. Note that the conditioning can be achieved by having a specific observer that randomly selects the label for the glass, a distribution over deterministic observers, or both. While fuzzy logic avoids talking about randomness in this context, this simplification at the same time obscures what is exactly meant by the statement the 'glass is 0.3 full'.

Fuzzy logic allows for set membership values to range (inclusively) between 0 and 1, and in its linguistic form, imprecise concepts like "slightly", "quite" and "very". Specifically, it allows partial membership in a set. It is related to fuzzy sets and possibility theory. It was introduced in 1965 by Lotfi Zadeh at the University of California, Berkeley.

Fuzzy logic is controversial in some circles and is rejected by some control engineers and by most statisticians who hold that probability is the only rigorous mathematical description of uncertainty.[verification needed] Critics also argue that it cannot be a superset of ordinary set theory since membership functions are defined in terms of conventional sets.

Reference: http://en.wikipedia.org/wiki/Fuzzy_logic
 TARJOMEH GARLocal time: 04:40Works in fieldNative speaker of: Persian (Farsi), EnglishPRO pts in category: 4

 Jan 5, 2008 - Changes made by TARJOMEH GAR: Created KOG entry KudoZ term » KOG term

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