Synopsis of TopicAn FIS can be constructed and implemented in a variety of ways. In the GCD software, we have adopted a standard format for fuzzy inference systems (*.fis) that is defined in Matlab's Fuzzy Logic Toolbox. In this session, we show you how to build and edit your own FIS and emphasize the thought process behind choosing inputs, defining categories and their membership functions, building the rule table, calibrating the output, and verifying the behavior and performance of your FIS.Why we're Covering itFuzzy inference systems are supported in the GCD Software and the appropriate construction, calibration and applications of FIS is a critical skill to develop. In this section we focus on the construction and calibration aspects of building an FIS.Learning Outcomes Supported
This topic will help fulfill the following primary learning outcome(s) for the workshop:
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IIf you would like to contribute FIS error models you've made to the community, use our BitBucket Fuzzy Inference System (FIS) Repository for DEM Error Models Relevant or Cited Literature

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