Customizing Fuzzy Inference Systems using Matlab Fuzzy Logic ToolboxThese video tutorials goes through how to customize a Fuzzy Inference System in Matlab for use in the GCD. Note that these videos are only useful if you have Matlab installed with the Fuzzy Logic Toolbox. If you want to make your own fuzzy inference systems or edit systems you can still do so (scroll down to 'Customizing Fuzzy Inference Systems with a Text Editor').Part I  Getting Around in the Fuzzy Logic TooloboxPart II Looking at an Existing Fuzzy Inference SystemThis goes through how an existing FIS that is installed with GCD 5 is set up, which is described in both Wheaton (2008) and Wheaton et al. (2010). The video shows you how to explore how the fuzzy inference system works and how it is organized.Part III  Modifying a Fuzzy Inference SystemThis video goes through modifying inputs and rules in Matlab's Fuzzy Logic Toolbox.Customizing Fuzzy Inference Systems with a Text EditorThis video goes through how you customize a Fuzzy Inference System using either GCD or a text editor for use in GCD. To see how to edit an FIS using the GCD'sFuzzy Inference System Editor , see here.Running your own FIS with more than Three InputsIn GCD 5, we currently only support running fuzzy inference systems with two or three inputs. If you have more then three inputs, you'll need to run your inference system outside of the GCD. You can still load your FIS output as a userspecified error grid in the Survey Library, after converting it to raster format GCD recognizes (e.g.*.tiff or *.img ). As a work around, we've developed some simple Matlab code ( FIS_IT.m ) that allows you to build spatial FIS outputs from an FIS you have created, with anywhere between two and seven inputs. You need Matlab's fuzzy logic toolbox files loaded to use the code. The code can be downloaded here. FISITProgram.zip This video tutorial goes through how to run the FIS it! code: For those of you who might want to extend the code, this video tutorial walks through how the code is organized and works: If you do make your own FIS, and want to produce some production quality plots of the input and output membership functions, check out 'R Plot Function for Fuzzy Membership Functions'. Further Reading on Fuzzy Inference Systems
