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		<title>Fuzzy logic - Revision history</title>
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		<updated>2026-10-24T00:47:34Z</updated>
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		<id>http://wiki.karljones.com/index.php?title=Fuzzy_logic&amp;diff=17262&amp;oldid=prev</id>
		<title>Karl Jones: Created page with &quot;'''Fuzzy logic''' is a form of many-valued logic in which the truth values of variables may be any real number between 0 and 1, considered to be &quot;fuzzy&quot;....&quot;</title>
		<link rel="alternate" type="text/html" href="http://wiki.karljones.com/index.php?title=Fuzzy_logic&amp;diff=17262&amp;oldid=prev"/>
				<updated>2016-08-25T20:21:43Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot;&amp;#039;&amp;#039;&amp;#039;Fuzzy logic&amp;#039;&amp;#039;&amp;#039; is a form of &lt;a href=&quot;/index.php/Many-valued_logic&quot; title=&quot;Many-valued logic&quot;&gt;many-valued logic&lt;/a&gt; in which the &lt;a href=&quot;/index.php/Truth_value&quot; title=&quot;Truth value&quot;&gt;truth values&lt;/a&gt; of variables may be any real number between 0 and 1, considered to be &amp;quot;fuzzy&amp;quot;....&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;'''Fuzzy logic''' is a form of [[many-valued logic]] in which the [[Truth value|truth values]] of variables may be any real number between 0 and 1, considered to be &amp;quot;fuzzy&amp;quot;.&lt;br /&gt;
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By contrast, in [[Boolean algebra|Boolean logic]], the truth values of variables may only be 0 or 1, often called &amp;quot;crisp&amp;quot; values.&lt;br /&gt;
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== Description ==&lt;br /&gt;
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Fuzzy logic has been employed to handle the concept of partial truth, where the truth value may range between completely true and completely false.&lt;br /&gt;
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Furthermore, when linguistic variables are used, these degrees may be managed by specific (membership) functions.&lt;br /&gt;
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The term &amp;quot;fuzzy logic&amp;quot; was introduced with the 1965 proposal of [[fuzzy set theory]] by [[Lotfi Zadeh]].&lt;br /&gt;
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Fuzzy logic had however been studied since the 1920s, as infinite-valued logic—notably by Łukasiewicz and Tarski.&lt;br /&gt;
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Fuzzy logic has been applied to many fields, from [[control theory]] to [[artificial intelligence]].&lt;br /&gt;
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== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Adaptive neuro fuzzy inference system]] (ANFIS)&lt;br /&gt;
* [[Artificial neural network]]&lt;br /&gt;
* [[Defuzzification]]&lt;br /&gt;
* [[Expert system]]&lt;br /&gt;
* [[False dilemma]]&lt;br /&gt;
* [[Fuzzy architectural spatial analysis]]&lt;br /&gt;
* [[Fuzzy classification]]&lt;br /&gt;
* [[Fuzzy concept]]&lt;br /&gt;
* [[Fuzzy Control Language]]&lt;br /&gt;
* [[Fuzzy control system]]&lt;br /&gt;
* [[Fuzzy electronics]]&lt;br /&gt;
* [[Fuzzy subalgebra]]&lt;br /&gt;
* [[FuzzyCLIPS]]&lt;br /&gt;
* [[High Performance Fuzzy Computing]]&lt;br /&gt;
* [[IEEE Transactions on Fuzzy Systems]]&lt;br /&gt;
* [[Interval finite element]]&lt;br /&gt;
* [[Lotfi Zadeh]]&lt;br /&gt;
* [[Machine learning]]&lt;br /&gt;
* [[Neuro-fuzzy]]&lt;br /&gt;
* [[Noise-based logic]]&lt;br /&gt;
* [[Rough set]]&lt;br /&gt;
* [[Sorites paradox]]&lt;br /&gt;
* [[Type-2 fuzzy sets and systems]]&lt;br /&gt;
* [[Vector logic]]&lt;br /&gt;
&lt;br /&gt;
== External links ==&lt;br /&gt;
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* [https://en.wikipedia.org/wiki/Fuzzy_logic Fuzzy logic] @ Wikipedia&lt;br /&gt;
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[[Category:Artificial intelligence]]&lt;br /&gt;
[[Category:Logic]]&lt;/div&gt;</summary>
		<author><name>Karl Jones</name></author>	</entry>

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