November 2017
Beginner to intermediate
366 pages
7h 59m
English
Content preview from R Data Analysis Projects
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Fuzzification
Fuzzification is the process where we convert our input and output to linguistic variables using ranges and membership functions.In this example, we want to convert our input, project funding and staffing, and output risk into linguistic variables:
- Project funding: Inadequate, marginal and adequate. These are the three linguistic variables we have for project funding. We will use a fuzzy cone membership function.
- Project staffing: Small and large, a fuzzy cone membership function
- Risk: low, normal and high.
We need some more defintions:
- Linguistic Variable: Variables whose values are words in a natural language. Let us take the example of Project Funding, the actual values of project funding in this example are percentages. ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.