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AI - a Guide to Intelligent Systems.pdf - Member of EEPIS

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100<br />

FUZZY EXPERT SYSTEMS<br />

Union<br />

. Crisp sets: Which element belongs <strong>to</strong> either set?<br />

. Fuzzy sets: How much <strong>of</strong> the element is in either set?<br />

The union <strong>of</strong> two crisp sets consists <strong>of</strong> every element that falls in<strong>to</strong> either set. For<br />

example, the union <strong>of</strong> tall men and fat men contains all men who are tall OR fat,<br />

i.e. Tom is in the union since he is tall, and it does not matter whether he is fat or<br />

not. In fuzzy sets, the union is the reverse <strong>of</strong> the intersection. That is, the union<br />

is the largest membership value <strong>of</strong> the element in either set.<br />

The fuzzy operation for forming the union <strong>of</strong> two fuzzy sets A and B on<br />

universe X can be given as:<br />

A[B ðxÞ ¼max ½ A ðxÞ; B ðxÞŠ ¼ A ðxÞ[ B ðxÞ; where x 2 X ð4:14Þ<br />

Consider again the fuzzy sets <strong>of</strong> tall and average men:<br />

tall men ¼ð0=165; 0=175; 0:0=180; 0:25=182:5; 0:5=185; 1=190Þ<br />

average men ¼ð0=165; 1=175; 0:5=180; 0:25=182:5; 0:0=185; 0=190Þ<br />

According <strong>to</strong> Eq. (4.14), the union <strong>of</strong> these two sets is<br />

tall men [ average men ¼ð0=165; 1=175; 0:5=180; 0:25=182:5; 0:5=185; 1=190Þ<br />

Diagrams for fuzzy set operations are shown in Figure 4.7.<br />

Crisp and fuzzy sets have the same properties; crisp sets can be considered as<br />

just a special case <strong>of</strong> fuzzy sets. Frequently used properties <strong>of</strong> fuzzy sets are<br />

described below.<br />

Commutativity<br />

A [ B ¼ B [ A<br />

A \ B ¼ B \ A<br />

Example:<br />

tall men OR short men ¼ short men OR tall men<br />

tall men AND short men ¼ short men AND tall men<br />

Associativity<br />

A [ðB [ CÞ ¼ðA [ BÞ[C<br />

A \ðB \ CÞ ¼ðA \ BÞ\C

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