Artificial Intelligence - Fuzzy Sets

{(x₁, 0.1), ((x₂, 0.4), (x₃, 0.9)}

{(x₁, 0.4), ((x₂, 0.1), (x₃, 0.9)}

{(x₁, 0.9), ((x₂, 0.4), (x₃, 0.1)}

{(x₁, 0.1), ((x₂, 0.2), (x₃, 0.3)}

{(x₁, 0.6), ((x₂, 0.3), (x₃, 0.4)}

{(x₁, 0.2), ((x₂, 0.3), (x₃, 0.4)}

{(x₁, 0.6), ((x₂, 0.8), (x₃, 1.0)}

{(x₁, 0.2), ((x₂, 0.2), (x₃, 0.2)}

Concepts of probability and membership values are defined based on crisp sets only

Concepts of probability and membership values are defined based on fuzzy sets only

Concepts of probability and membership values are defined based on crisp sets, fuzzy sets, respectively.

Concepts of probability and membership values are defined based on fuzzy, crisp sets, respectively.

{(x₁, 0.52), ((x₂, 0.65), (x₃, 0.76)}

{(x₁, 0.6), ((x₂, 0.8), (x₃, 1.0)}

{(x₁, 0.2), ((x₂, 0.3), (x₃, 0.4)}

{(x₁, 0.4), ((x₂, 0.5), (x₃, 0.6)}