## fuzzy sets

##### DM-41 - Fuzzy logic • 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
##### AM-88 - Fuzzy aggregation operators • 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
##### DM-41 - Fuzzy logic • 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
##### AM-88 - Fuzzy aggregation operators • 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
##### DM-41 - Fuzzy logic • 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
##### AM-88 - Fuzzy aggregation operators • 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
##### DM-41 - Fuzzy logic • 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
##### AM-88 - Fuzzy aggregation operators • 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
##### DM-41 - Fuzzy logic • 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
##### AM-88 - Fuzzy aggregation operators • 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