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<!DOCTYPE html>
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    <title>Octave Fuzzy Logic Toolkit: addmf</title>
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              Function&nbsp;Reference: <b><code>addmf</code></b>
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<dl>
<dt><u>Function File:</u> <var>fis</var> = <b>addmf</b><i> (<var>fis</var>, <var>in_or_out</var>, <var>var_index</var>, <var>mf_name</var>, <var>mf_type</var>, <var>mf_params</var>)</i></dt>
</dl>

<p> Add a membership function to an existing FIS 
 structure and return the updated FIS.
</p>
<div class="ms-5">
<p> The types/values of the arguments are expected to be:
</p>
 <table>
<thead><tr><th width="35%">Argument</th><th width="65%">Expected Type or Value</th></tr></thead>
<tr><td width="35%"><var>fis</var></td><td width="65%">an FIS structure</td></tr>
<tr><td width="35%"><var>in_or_out</var></td><td width="65%">&rsquo;input&rsquo; or &rsquo;output&rsquo; (case-insensitive)</td></tr>
<tr><td width="35%"><var>var_index</var></td><td width="65%">valid index of an FIS input/output variable</td></tr>
<tr><td width="35%"><var>mf_name</var></td><td width="65%">a string</td></tr>
<tr><td width="35%"><var>mf_type</var></td><td width="65%">a string</td></tr>
<tr><td width="35%"><var>mf_params</var></td><td width="65%">a vector</td></tr>
</table>
 <br>
<p> If <var>mf_type</var> is one of the built-in membership functions, then the
 number and values of the parameters must satisfy the membership function
 requirements for the specified <var>mf_type</var>.
</p>
<p> Note that addmf will allow the user to add membership functions or 
 membership function names for a given input or output variable that
 duplicate mfs or mf names already entered.
</p>
<p> Also, constant and linear membership functions are not restricted to FIS
 structure outputs or to Sugeno-type FIS structures, and the result of using
 them for FIS inputs or Mamdani-type FIS outputs has not yet been tested.
</p>
<p> To run the demonstration code, type &quot;<tt>demo addmf</tt>&quot; (without the quotation
 marks) at the Octave prompt.
 This demo creates two FIS input variables and associated membership functions
 and then produces two figures showing the term sets for the two FIS inputs.
</p>
<p> <strong>See also: </strong>
  <a href="rmmf.html">rmmf</a>, 
  <a href="setfis.html">setfis</a>
</p>
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                  Example: 1
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                    <td>&nbsp;</td>
                    <td><pre class="example">

 ## Create new FIS.
 a = newfis ('Heart-Disease-Risk', 'sugeno', ...
             'min', 'max', 'min', 'max', 'wtaver');
 
 ## Add two inputs and their membership functions.
 a = addvar (a, 'input', 'LDL-Level', [0 300]);
 a = addmf (a, 'input', 1, 'Low', 'trapmf', [-1 0 90 110]);
 a = addmf (a, 'input', 1, 'Low-Borderline', 'trapmf', ...
            [90 110 120 140]);
 a = addmf (a, 'input', 1, 'Borderline', 'trapmf', ...
            [120 140 150 170]);
 a = addmf (a, 'input', 1, 'High-Borderline', 'trapmf', ...
            [150 170 180 200]);
 a = addmf (a, 'input', 1, 'High', 'trapmf', [180 200 300 301]);
 
 a = addvar (a, 'input', 'HDL-Level', [0 100]);
 a = addmf (a, 'input', 2, 'Low-HDL', 'trapmf', [-1 0 35 45]);
 a = addmf (a, 'input', 2, 'Moderate-HDL', 'trapmf', [35 45 55 65]);
 a = addmf (a, 'input', 2, 'High-HDL', 'trapmf', [55 65 100 101]);
 
 ## Plot the input membership functions.
 plotmf (a, 'input', 1);
 plotmf (a, 'input', 2);

                    </pre></td></tr></tbody>
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                    <img src="assets/addmf_102.png" class="rounded img-thumbnail" alt="plotted figure">
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                    <img src="assets/addmf_101.png" class="rounded img-thumbnail" alt="plotted figure">
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