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(Created page with "==Fuzzy set <math>\tilde{A}</math> and membership function <math>\mu_{\displaystyle {\tilde {A}}}(x)</math>== We choose - as a formalism - to represent a fuzzy set with the 'tilde':<math>\tilde{A}</math>. A fuzzy set is a set where the elements have a 'degree' of belonging (consistent with fuzzy logic): some can be included in the set at 100%, others in lower percentages. To mathematically represent this degree of belonging is the function <math>\mu_{\displaystyle {\til...")
 
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==Fuzzy set <math>\tilde{A}</math> and membership function <math>\mu_{\displaystyle {\tilde {A}}}(x)</math>==
==Conjunto difuso <math>\tilde{A}</math> y función de pertenencia <math>\mu_{\displaystyle {\tilde {A}}}(x)</math>==
We choose - as a formalism - to represent a fuzzy set with the 'tilde':<math>\tilde{A}</math>. A fuzzy set is a set where the elements have a 'degree' of belonging (consistent with fuzzy logic): some can be included in the set at 100%, others in lower percentages.
Elegimos, como formalismo, representar un conjunto borroso con la 'tilde': <math>\tilde{A}</math> Un conjunto borroso es un conjunto donde los elementos tienen un 'grado' de pertenencia (de acuerdo con la lógica borrosa): algunos pueden incluirse en el conjunto en 100%, otros en porcentajes menores.


To mathematically represent this degree of belonging is the function <math>\mu_{\displaystyle {\tilde {A}}}(x)</math> called ''''Membership Function''''. The function <math>\mu_{\displaystyle {\tilde {A}}}(x)</math> is a continuous function defined in the interval <math>[0;1]</math>where it is:
Para representar matemáticamente este grado de pertenencia se encuentra la función <math>\mu_{\displaystyle {\tilde {A}}}(x)</math> denominada ''''Función de pertenencia'''<nowiki/>'. La función <math>\mu_{\displaystyle {\tilde {A}}}(x)</math> es una función continua definida en el intervalo <math>[0;1]</math> donde es:


*<math>\mu_ {\tilde {A}}(x) = 1\rightarrow </math> if <math>x</math> is totally contained in <math>A</math> (these points are called 'nucleus', they indicate <u>plausible</u> predicate values).
*<math>\mu_ {\tilde {A}}(x) = 1\rightarrow </math> si <math>x</math> está totalmente contenido en <math>A</math> (estos puntos se llaman ''''núcleo'''<nowiki/>', indican valores predicados <u>plausibles</u>).
*<math>\mu_ {\tilde {A}}(x) = 0\rightarrow </math> if <math>x</math> is not contained in <math>A</math>  
*<math>\mu_ {\tilde {A}}(x) = 0\rightarrow </math>si <math>x</math> no está contenido en <math>A</math>  
*<math>0<\mu_ {\tilde {A}}(x) < 1 \;\rightarrow </math> if <math>x</math> is partially contained in <math>A</math> (these points are called 'support', they indicate the <u>possible</u> predicate values).
*<math>0<\mu_ {\tilde {A}}(x) < 1 \;\rightarrow </math>si <math>x</math> está parcialmente contenido en <math>A</math> (estos puntos se llaman ''''soporte'''<nowiki/>', indican los <u>posibles</u> valores predicados).


The graphical representation of the function <math>\mu_{\displaystyle {\tilde {A}}}(x)</math> can be varied; from those with linear lines (triangular, trapezoidal) to those in the shape of bells or 'S' (sigmoidal) as depicted in Figure 1, which contains the whole graphic concept of the function of belonging.<ref>{{Cite book  
La representación gráfica de la función <math>\mu_{\displaystyle {\tilde {A}}}(x)</math> puede ser variado; desde los de líneas lineales (triangulares, trapezoidales) hasta los que tienen forma de campana o 'S' (sigmoidales) como se muestra en la Figura 1, que contiene todo el concepto gráfico de la función de pertenencia....<ref>{{Cite book  
  | autore = Zhang W
  | autore = Zhang W
  | autore2 = Yang J
  | autore2 = Yang J
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[[File:Fuzzy_crisp.svg|alt=|left|thumb|400px|'''Figure 1:''' Types of graphs for the membership function.]]
[[File:Fuzzy_crisp.svg|alt=|left|thumb|400px|'''Figure 1:''' Types of graphs for the membership function.]]


The '''support set''' of a fuzzy set is defined as the zone in which the degree of membership results <math>0<\mu_ {\tilde {A}}(x) < 1</math>; <!--131-->on the other hand, the '''core''' is defined as the area in which the degree of belonging assumes value <math>\mu_ {\tilde {A}}(x) = 1</math>
.<ref name=":0">•SMUTS J.C. 1926, [[wikipedia:Holism_and_Evolution|<!--139-->Holism and Evolution]], London: Macmillan.</ref>
 
The 'Support set' represents the values of the predicate deemed '''possible''', while the 'core' represents those deemed more '''plausible'''.
 
If <math>{A}</math> <!--134-->represented a set in the ordinary sense of the term or classical language logic previously described, its membership function could assume only the values <math>1</math> <!--135-->or <math>0</math>, <math>\mu_{\displaystyle {{A}}}(x)= 1 \; \lor \;\mu_{\displaystyle {{A}}}(x)= 0</math> <!--136-->depending on whether the element <math>x</math> <!--137-->belongs to the whole or not, as considered. <!--138-->Figure 2 shows a graphic representation of the crisp (rigidly defined) or fuzzy concept of membership, which clearly recalls Smuts's considerations.<ref name=":0">•SMUTS J.C. 1926, [[wikipedia:Holism_and_Evolution|<!--139-->Holism and Evolution]], London: Macmillan.</ref>  


Let us go back to the specific case of our Mary Poppins, in which we see a discrepancy between the assertions of the dentist and the neurologist and we look for a comparison between classical logic and fuzzy logic:
Let us go back to the specific case of our Mary Poppins, in which we see a discrepancy between the assertions of the dentist and the neurologist and we look for a comparison between classical logic and fuzzy logic:
[[File:Fuzzy1.jpg|thumb|400x400px|'''<!--141-->Figure 2:''' <!--142-->Representation of the comparison between a classical and fuzzy ensemble.]]
[[File:Fuzzy1.jpg|thumb|400x400px|'''<!--141-->Figure 2:''' <!--142-->Representation of the comparison between a classical and fuzzy ensemble.]]
'''Figure 2:''' Let us imagine the Science Universe <math>U</math> <!--145-->in which there are two parallel worlds or contexts, <math>{A}</math> <!--146-->and <math>\tilde{A}</math>.
'''Figure 2:''' Let us imagine the Science Universe <math>U</math> in which there are two parallel worlds or contexts, <math>{A}</math> and <math>\tilde{A}</math>.


<math>{A}=</math>  In the scientific context, the so-called ‘crisp’, and we have converted into ''the logic'' of ''Classic Language'', in which the physician has an absolute scientific background information <math>KB</math>  <!--148-->with a clear dividing line that we have named <math>KB_c</math>.  
<math>{A}=</math>  In the scientific context, the so-called ‘crisp’, and we have converted into ''the logic'' of ''Classic Language'', in which the physician has an absolute scientific background information <math>KB</math>  with a clear dividing line that we have named <math>KB_c</math>.  


<math>\tilde{A}=</math> In another scientific context called  ‘fuzzy logic’, and in which there is a union between the subset <math>{A}</math> <!--150-->in <math>\tilde{A}</math> <!--151-->that we can go so far as to say: union between <math>KB_c</math>.
<math>\tilde{A}=</math> In another scientific context called  ‘fuzzy logic’, and in which there is a union between the subset <math>{A}</math> in <math>\tilde{A}</math> that we can go so far as to say: union between <math>KB_c</math>.


We will remarkably notice the following deductions:
We will remarkably notice the following deductions:
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