Qualitative Modelling with ANFIS, FIS Optimization, Loading Data
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Hi,
I want to use ANFIS for qualitative modelling purposes. I already built the first FIS structure with fuzzy toolbox. However, I want to take this structure and optimize it with ANFIS and to show that my model is a good model. But, my problem is that ANFIS wants me to load data to train it. But, I am not able to load data because it is qualitative modelling and I dont have any numerical data to load. The only numerical data I use is that 1-10 scale showing the quality (good, medium, bad). So, how can I overcome this "loading data" problem?
Thanks in Advance
Kind Regards Fatih
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Answers (1)
Arkadiy Turevskiy
on 21 Jun 2013
The only way to show that your model is a good model is to validate it against a set of input/output data. What are the inputs to your system? Sounds like you already know what the output is and how to represent it numerically.
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Arkadiy Turevskiy
on 21 Jun 2013
Your situation looks very similar to the tipper example we have in the intro section of the doc here. In this example, you are designing a fuzzy system that decides how much to tip in a restaraunt based on quality of food and service. The rules are similar to what you describe, i.e., if service is good, then tip is average. I suggest you go through this example to how to fuzzify input variables. That should help you get started.
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