1 / 5

Logic frameworks (fuzzy vs. crisp)

Lecture 02: Logic Frameworks. Topics:. Logic frameworks (fuzzy vs. crisp). References:. Chapter 11 in Burrough and McDonnell, 1998, pp. 265-291 Chapter 1 in Zimmermann, H.J. 1985. Lecture 02: Logic Frameworks. Outlines. Logic frameworks (fuzzy vs. crisp). 1. Set Definition:

lmae
Download Presentation

Logic frameworks (fuzzy vs. crisp)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Lecture 02: Logic Frameworks Topics: Logic frameworks (fuzzy vs. crisp) References: Chapter 11 in Burrough and McDonnell, 1998, pp. 265-291 Chapter 1 in Zimmermann, H.J. 1985

  2. Lecture 02: Logic Frameworks Outlines Logic frameworks (fuzzy vs. crisp) 1. Set Definition: Example: Definition of Pine Forests Determination: - classification Example: Determine if a patch is Pine Forests

  3. 2. Crisp logic vs. fuzzy logic 1) Crisp logic Definition: Example: tall people (height > 6 ft) Determination: Example: Limitations:

  4. 2) Fuzzy logic Definition: Example: tall people if x< 9’: [x, A(x)=(x-6)/3] otherwise: [x, A(x)=1] (diagram) Membership function (three basic forms) Determination: Example: [(6, 0.0); (7, 0.33); (7.5, 0.5); (8.0, 0.67)]

  5. 3) Crisp sets vs. fuzzy sets 3. Simple set operators The AND and OR operators for sets 1) under crisp logic 2) under fuzzy logic 4. The relevance to geography

More Related