You are currently viewing an archived version of Topic Fuzzy logic.
If updates or revisions have been published you can find them at Fuzzy logic.
Author and Citation Info:
DiBiase, D., DeMers, M., Johnson, A., Kemp, K., Luck, A. T., Plewe, B., and Wentz, E. (2006). Fuzzy logic. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).
Learning Objectives:
Describe how linear functions are used to fuzzify input data (i.e., mapping domain values to linguistic variables)
Support or refute the statement by Lotfi Zadeh, that “As complexity rises, precise statements lose meaning and meaningful statements lose precision,” as it relates to GIS&T
Explain why fuzzy logic, rather then Boolean algebra models, can be useful for representing real world boundaries between different tree species
You are currently viewing an archived version of Topic Fuzzy logic. If updates or revisions have been published you can find them at Fuzzy logic.
DiBiase, D., DeMers, M., Johnson, A., Kemp, K., Luck, A. T., Plewe, B., and Wentz, E. (2006). Fuzzy logic. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).