Artificial Intelligence and Soft Computing: Behavioral ... - Arteimi.info

µ B1’ (y) = V { µR1 (x, y) Λ µA’ (x) }
∀x ∈ A’
where µR1 (x, y) =∧ { µ A1 (x) , µ B1(y) }
∀x ∈ A1
∀y∈ B1
µ B2’ (y) = V { µR2 (x, y) Λ µA’ (x) }
∀x ∈ A’
where µR2 (x, y) =∧ { µ A2 (x) , µ B2(y) }
∀x ∈ A2
∀y ∈ B2
µ Bn’ (y) = V { µRn (x, y) Λ µA’ (x) }
∀ x ∈ A’
where µRn (x, y) =∧ { µ An (x) , µ Bn (y) }
∀x ∈ An
µA’ (x)
∀y∈Bn
Fig. 9.13: Evaluation of µ B’ (y) from µA’ (x).
∨
µ B’ (y)