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<!DOCTYPE html>
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<title>Octave Fuzzy Logic Toolkit</title>
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Octave Fuzzy Logic Toolkit
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<h3 class="d-inline-block mr-2">fuzzy-logic-toolkit</h3>
<b>0.6.2 2025-05-15</b>
<p class="indent">
A mostly MATLAB-compatible fuzzy logic toolkit for Octave.
</p>
</div>
</div>
</div>
<div class="card-body">
<p>Select Category:
<select name="cat" onchange="location = this.options[this.selectedIndex].value;">
<option value="#Evaluation">Evaluation</option>
<option value="#Plotting">Plotting</option>
<option value="#File Input/Output of Fuzzy Inference Systems">File Input/Output of Fuzzy Inference Systems</option>
<option value="#Command-Line Creation and Modification of Fuzzy Inference Systems">Command-Line Creation and Modification of Fuzzy Inference Systems</option>
<option value="#Text Representation of Fuzzy Inference Systems">Text Representation of Fuzzy Inference Systems</option>
<option value="#Membership Functions">Membership Functions</option>
<option value="#T-Norms and S-Norms (in addition to max/min)">T-Norms and S-Norms (in addition to max/min)</option>
<option value="#Complete Fuzzy Inference System Demos">Complete Fuzzy Inference System Demos</option>
<option value="#Fuzzy Clustering Functions">Fuzzy Clustering Functions</option>
</select>
<p>
<h3 class="category">
<a name="Evaluation">Evaluation</a>
</h3>
<table class="table table-striped">
<tbody>
<tr>
<td>
<b><code>
<a href="defuzz.html">defuzz</a>
</code></b>
</td>
<td>For a given domain, set of fuzzy function values, and defuzzification
method, return the defuzzified (crisp) value of the fuzzy function.</td>
</tr>
<tr>
<td>
<b><code>
<a href="evalfis.html">evalfis</a>
</code></b>
</td>
<td>Return the crisp output(s) of an FIS for each row in a matrix of crisp
input values.</td>
</tr>
<tr>
<td>
<b><code>
<a href="evalmf.html">evalmf</a>
</code></b>
</td>
<td>For a given domain, set of parameters, membership function type, and
optional hedge and not_flag, return the corresponding y-values for the
membership function.</td>
</tr>
</tbody>
</table>
<h3 class="category">
<a name="Plotting">Plotting</a>
</h3>
<table class="table table-striped">
<tbody>
<tr>
<td>
<b><code>
<a href="gensurf.html">gensurf</a>
</code></b>
</td>
<td>Generate and plot a surface (or 2-dimensional curve) showing one FIS
output as a function of two (or one) of the FIS inputs.</td>
</tr>
<tr>
<td>
<b><code>
<a href="plotmf.html">plotmf</a>
</code></b>
</td>
<td>Plot the membership functions defined for the specified FIS input or
output variable on a single set of axes.</td>
</tr>
</tbody>
</table>
<h3 class="category">
<a name="File Input/Output of Fuzzy Inference Systems">File Input/Output of Fuzzy Inference Systems</a>
</h3>
<table class="table table-striped">
<tbody>
<tr>
<td>
<b><code>
<a href="readfis.html">readfis</a>
</code></b>
</td>
<td>Read the information in an FIS file, and using this information, create
and return an FIS structure.</td>
</tr>
<tr>
<td>
<b><code>
<a href="writefis.html">writefis</a>
</code></b>
</td>
<td>Save the specified FIS currently in the Octave workspace to a file named
by the user.</td>
</tr>
</tbody>
</table>
<h3 class="category">
<a name="Command-Line Creation and Modification of Fuzzy Inference Systems">Command-Line Creation and Modification of Fuzzy Inference Systems</a>
</h3>
<table class="table table-striped">
<tbody>
<tr>
<td>
<b><code>
<a href="addmf.html">addmf</a>
</code></b>
</td>
<td>Add a membership function to an existing FIS structure and return the
updated FIS.</td>
</tr>
<tr>
<td>
<b><code>
<a href="addrule.html">addrule</a>
</code></b>
</td>
<td>Add a list of rules to an existing FIS structure and return the updated
FIS.</td>
</tr>
<tr>
<td>
<b><code>
<a href="addvar.html">addvar</a>
</code></b>
</td>
<td>Add an input or output variable to an existing FIS structure and return
the updated FIS.</td>
</tr>
<tr>
<td>
<b><code>
<a href="newfis.html">newfis</a>
</code></b>
</td>
<td>Create and return a new FIS structure using the argument values
provided.</td>
</tr>
<tr>
<td>
<b><code>
<a href="rmmf.html">rmmf</a>
</code></b>
</td>
<td>Remove a membership function from an existing FIS structure and return
the updated FIS.</td>
</tr>
<tr>
<td>
<b><code>
<a href="rmvar.html">rmvar</a>
</code></b>
</td>
<td>Remove an input or output variable from an existing FIS structure and
return the updated FIS.</td>
</tr>
<tr>
<td>
<b><code>
<a href="setfis.html">setfis</a>
</code></b>
</td>
<td>Set a property (field) value of an FIS structure and return the updated
FIS.</td>
</tr>
</tbody>
</table>
<h3 class="category">
<a name="Text Representation of Fuzzy Inference Systems">Text Representation of Fuzzy Inference Systems</a>
</h3>
<table class="table table-striped">
<tbody>
<tr>
<td>
<b><code>
<a href="getfis.html">getfis</a>
</code></b>
</td>
<td>Return or print the property (field) values of an FIS structure
specified by the arguments.</td>
</tr>
<tr>
<td>
<b><code>
<a href="showfis.html">showfis</a>
</code></b>
</td>
<td>Print all of the property (field) values of the FIS structure and its
substructures.</td>
</tr>
<tr>
<td>
<b><code>
<a href="showrule.html">showrule</a>
</code></b>
</td>
<td>Show the rules for an FIS structure in verbose, symbolic, or indexed
format.</td>
</tr>
</tbody>
</table>
<h3 class="category">
<a name="Membership Functions">Membership Functions</a>
</h3>
<table class="table table-striped">
<tbody>
<tr>
<td>
<b><code>
<a href="dsigmf.html">dsigmf</a>
</code></b>
</td>
<td>For a given domain X and parameters PARAMS (or [A1 C1 A2 C2]), return
the corresponding Y values for the difference between two sigmoidal
membership functions.</td>
</tr>
<tr>
<td>
<b><code>
<a href="gauss2mf.html">gauss2mf</a>
</code></b>
</td>
<td>For a given domain X and parameters PARAMS (or [SIG1 C1 SIG2 C2]),
return the corresponding Y values for the two-sided Gaussian composite
membership function.</td>
</tr>
<tr>
<td>
<b><code>
<a href="gaussmf.html">gaussmf</a>
</code></b>
</td>
<td>For a given domain X and parameters PARAMS (or [SIG C]), return the
corresponding Y values for the Gaussian membership function.</td>
</tr>
<tr>
<td>
<b><code>
<a href="gbellmf.html">gbellmf</a>
</code></b>
</td>
<td>For a given domain X and parameters PARAMS (or [A B C]), return the
corresponding Y values for the generalized bell-shaped membership
function.</td>
</tr>
<tr>
<td>
<b><code>
<a href="pimf.html">pimf</a>
</code></b>
</td>
<td>For a given domain X and parameters PARAMS (or [A B C D]), return the
corresponding Y values for the pi-shaped membership function.</td>
</tr>
<tr>
<td>
<b><code>
<a href="psigmf.html">psigmf</a>
</code></b>
</td>
<td>For a given domain X and parameters PARAMS (or [A1 C1 A2 C2]), return
the corresponding Y values for the product of two sigmoidal membership
functions.</td>
</tr>
<tr>
<td>
<b><code>
<a href="sigmf.html">sigmf</a>
</code></b>
</td>
<td>For a given domain X and parameters PARAMS (or [A C]), return the
corresponding Y values for the sigmoidal membership function.</td>
</tr>
<tr>
<td>
<b><code>
<a href="smf.html">smf</a>
</code></b>
</td>
<td>For a given domain X and parameters PARAMS (or [A B]), return the
corresponding Y values for the S-shaped membership function.</td>
</tr>
<tr>
<td>
<b><code>
<a href="trapmf.html">trapmf</a>
</code></b>
</td>
<td>For a given domain X and parameters PARAMS (or [A B C D]), return the
corresponding Y values for the trapezoidal membership function.</td>
</tr>
<tr>
<td>
<b><code>
<a href="trimf.html">trimf</a>
</code></b>
</td>
<td>For a given domain X and parameters PARAMS (or [A B C]), return the
corresponding Y values for the triangular membership function.</td>
</tr>
<tr>
<td>
<b><code>
<a href="zmf.html">zmf</a>
</code></b>
</td>
<td>For a given domain X and parameters PARAMS (or [A B]), return the
corresponding Y values for the Z-shaped membership function.</td>
</tr>
</tbody>
</table>
<h3 class="category">
<a name="T-Norms and S-Norms (in addition to max/min)">T-Norms and S-Norms (in addition to max/min)</a>
</h3>
<table class="table table-striped">
<tbody>
<tr>
<td>
<b><code>
<a href="algebraic_product.html">algebraic_product</a>
</code></b>
</td>
<td>Return the algebraic product of the input.</td>
</tr>
<tr>
<td>
<b><code>
<a href="algebraic_sum.html">algebraic_sum</a>
</code></b>
</td>
<td>Return the algebraic sum of the input.</td>
</tr>
<tr>
<td>
<b><code>
<a href="bounded_difference.html">bounded_difference</a>
</code></b>
</td>
<td>Return the bounded difference of the input.</td>
</tr>
<tr>
<td>
<b><code>
<a href="bounded_sum.html">bounded_sum</a>
</code></b>
</td>
<td>Return the bounded sum of the input.</td>
</tr>
<tr>
<td>
<b><code>
<a href="drastic_product.html">drastic_product</a>
</code></b>
</td>
<td>Return the drastic product of the input.</td>
</tr>
<tr>
<td>
<b><code>
<a href="drastic_sum.html">drastic_sum</a>
</code></b>
</td>
<td>Return the drastic sum of the input.</td>
</tr>
<tr>
<td>
<b><code>
<a href="einstein_product.html">einstein_product</a>
</code></b>
</td>
<td>Return the Einstein product of the input.</td>
</tr>
<tr>
<td>
<b><code>
<a href="einstein_sum.html">einstein_sum</a>
</code></b>
</td>
<td>Return the Einstein sum of the input.</td>
</tr>
<tr>
<td>
<b><code>
<a href="hamacher_product.html">hamacher_product</a>
</code></b>
</td>
<td>Return the Hamacher product of the input.</td>
</tr>
<tr>
<td>
<b><code>
<a href="hamacher_sum.html">hamacher_sum</a>
</code></b>
</td>
<td>Return the Hamacher sum of the input.</td>
</tr>
</tbody>
</table>
<h3 class="category">
<a name="Complete Fuzzy Inference System Demos">Complete Fuzzy Inference System Demos</a>
</h3>
<table class="table table-striped">
<tbody>
<tr>
<td>
<b><code>
<a href="cubic_approx_demo.html">cubic_approx_demo</a>
</code></b>
</td>
<td>Demonstrate the use of the Octave Fuzzy Logic Toolkit to approximate a
non-linear function using a Sugeno-type FIS with linear output
functions.</td>
</tr>
<tr>
<td>
<b><code>
<a href="heart_disease_demo_1.html">heart_disease_demo_1</a>
</code></b>
</td>
<td>Demonstrate the use of newfis, addvar, addmf, and addrule to build and
evaluate an FIS.</td>
</tr>
<tr>
<td>
<b><code>
<a href="heart_disease_demo_2.html">heart_disease_demo_2</a>
</code></b>
</td>
<td>Demonstrate the use of the Octave Fuzzy Logic Toolkit to read and
evaluate a Sugeno-type FIS stored in a file.</td>
</tr>
<tr>
<td>
<b><code>
<a href="investment_portfolio_demo.html">investment_portfolio_demo</a>
</code></b>
</td>
<td>Demonstrate the use of the Octave Fuzzy Logic Toolkit to read and
evaluate a Mamdani-type FIS stored in a file.</td>
</tr>
<tr>
<td>
<b><code>
<a href="linear_tip_demo.html">linear_tip_demo</a>
</code></b>
</td>
<td>Demonstrate the use of linear output membership functions to simulate
constant membership functions.</td>
</tr>
<tr>
<td>
<b><code>
<a href="mamdani_tip_demo.html">mamdani_tip_demo</a>
</code></b>
</td>
<td>Demonstrate the use of the Octave Fuzzy Logic Toolkit to read and
evaluate a Mamdani-type FIS stored in a file.</td>
</tr>
<tr>
<td>
<b><code>
<a href="sugeno_tip_demo.html">sugeno_tip_demo</a>
</code></b>
</td>
<td>Demonstrate the use of the Octave Fuzzy Logic Toolkit to read and
evaluate a Sugeno-type FIS with multiple outputs stored in a text file.</td>
</tr>
</tbody>
</table>
<h3 class="category">
<a name="Fuzzy Clustering Functions">Fuzzy Clustering Functions</a>
</h3>
<table class="table table-striped">
<tbody>
<tr>
<td>
<b><code>
<a href="fcm.html">fcm</a>
</code></b>
</td>
<td>Using the Fuzzy C-Means algorithm, calculate and return the soft
partition of a set of unlabeled data points.</td>
</tr>
<tr>
<td>
<b><code>
<a href="gustafson_kessel.html">gustafson_kessel</a>
</code></b>
</td>
<td>Using the Gustafson-Kessel algorithm, calculate and return the soft
partition of a set of unlabeled data points.</td>
</tr>
<tr>
<td>
<b><code>
<a href="partition_coeff.html">partition_coeff</a>
</code></b>
</td>
<td>Return the partition coefficient for a given soft partition.</td>
</tr>
<tr>
<td>
<b><code>
<a href="partition_entropy.html">partition_entropy</a>
</code></b>
</td>
<td>Return the partition entropy for a given soft partition.</td>
</tr>
<tr>
<td>
<b><code>
<a href="xie_beni_index.html">xie_beni_index</a>
</code></b>
</td>
<td>Return the Xie-Beni validity index for a given soft partition.</td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
</body>
</html>
|
