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<h1>Source code for pyFTS.models.nonstationary.perturbation</h1><div class="highlight"><pre>
<span></span><span class="sd">"""</span>
<span class="sd">Pertubation functions for Non Stationary Fuzzy Sets</span>
<span class="sd">"""</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">from</span> <span class="nn">pyFTS</span> <span class="kn">import</span> <span class="o">*</span>
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">FuzzySet</span><span class="p">,</span> <span class="n">Membership</span>
<div class="viewcode-block" id="linear"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.perturbation.linear">[docs]</a><span class="k">def</span> <span class="nf">linear</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">parameters</span><span class="p">):</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">polyval</span><span class="p">(</span><span class="n">parameters</span><span class="p">,</span> <span class="n">x</span><span class="p">)</span></div>
<div class="viewcode-block" id="polynomial"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.perturbation.polynomial">[docs]</a><span class="k">def</span> <span class="nf">polynomial</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">parameters</span><span class="p">):</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">polyval</span><span class="p">(</span><span class="n">parameters</span><span class="p">,</span> <span class="n">x</span><span class="p">)</span></div>
<div class="viewcode-block" id="exponential"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.perturbation.exponential">[docs]</a><span class="k">def</span> <span class="nf">exponential</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">parameters</span><span class="p">):</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">x</span><span class="o">*</span><span class="n">parameters</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span></div>
<div class="viewcode-block" id="periodic"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.perturbation.periodic">[docs]</a><span class="k">def</span> <span class="nf">periodic</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">parameters</span><span class="p">):</span>
<span class="k">return</span> <span class="n">parameters</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">x</span> <span class="o">*</span> <span class="n">parameters</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span></div>
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