##### AM-89 - Weighting schemes

- Evaluate a fuzzy weighting scheme in terms of uncertainty and error propagation

- Evaluate a fuzzy weighting scheme in terms of uncertainty and error propagation

- Compare and contrast Boolean and fuzzy logical operations
- Compare and contrast several operators for fuzzy aggregation, including those for intersect and union
- Exemplify one use of fuzzy aggregation operators
- Describe how an approach to map overlay analysis might be different if region boundaries were fuzzy rather than crisp
- Describe fuzzy aggregation operators

- 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

- Evaluate a fuzzy weighting scheme in terms of uncertainty and error propagation

- Compare and contrast Boolean and fuzzy logical operations
- Compare and contrast several operators for fuzzy aggregation, including those for intersect and union
- Exemplify one use of fuzzy aggregation operators
- Describe how an approach to map overlay analysis might be different if region boundaries were fuzzy rather than crisp
- Describe fuzzy aggregation operators

- 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

- Evaluate a fuzzy weighting scheme in terms of uncertainty and error propagation

- Compare and contrast Boolean and fuzzy logical operations
- Compare and contrast several operators for fuzzy aggregation, including those for intersect and union
- Exemplify one use of fuzzy aggregation operators
- Describe how an approach to map overlay analysis might be different if region boundaries were fuzzy rather than crisp
- Describe fuzzy aggregation operators

- 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

## DM-41 - Fuzzy logic