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1 • Fuzzy Set Theory 19<br />

Then fI (X) is a continuous interval-variable and interval-valued function.<br />

This corollary can be easily verified by using the continuity of the real<br />

function f, which guarantees the continuity of all important interval-variable<br />

and interval-valued functions like X n , e X , sin(X), | X | , etc.<br />

Theorem 1.8. Let X = [x, x ], Y = [y, y ], Z = [z, z ], and S = [s, s ] be<br />

intervals in I. Then<br />

(1) d(X+Y,X+Z) = d(Y,Z);<br />

(2) d(X+Y,Z+S) ≤ d(X,Z) + d(Y,S);<br />

(3) d(λX,λY) = |λ| d(X,Y), λ∈ R;<br />

(4) d(XY,XZ) ≤ |X| d(Y,Z).<br />

Proof. For (1), it follows from the definition of d( . , . ) that<br />

d(X+Y,X+Z) = max{ | (x + y) − (x + z) |, | ( x + y ) − ( x + z ) | }<br />

= max{ | y − z |, | y − z | }<br />

= d(Y,Z).<br />

For (2), using the triangular inequality, part (1) above, and the symmetry of<br />

d( . , . ), we have<br />

d(X+Y,Z+S) ≤ d(X+Y,Y+Z) + d(Z+S,Y+Z)<br />

≤ d(X,Z) + d(Y,S).<br />

For (3), for any real number λ∈ R, we have<br />

d(λX,λY) = max{ | λx −λy |, | λ x −λy | }<br />

= |λ| max{ | x − y |, | x − y | }<br />

= |λ| d(X,Y).<br />

For (4), for an interval A = [a, a ], we will use l(A) = a and u(A) = a for<br />

convenience in this proof. Then, what we need to show is<br />

max{ | l(XY) − l(XZ) |, | u(XY) − u(XZ) | } ≤ |X| d(Y,Z).<br />

We only show that<br />

| l(XY) − l(XZ) | ≤ |X| d(Y,Z)<br />

and the inequality | u(XY) − u(XZ) | ≤ |X| d(Y,Z) can be verified in the same<br />

manner. Without loss of generality, assume that<br />

l(XY) ≥ l(XZ);<br />

the case of l(XY) < l(XZ) can be similarly analyzed. Then, since<br />

XZ = { xz | x ∈ X, z ∈ Z },<br />

there exists an x ∈ X such that<br />

l(XZ) = l(xZ).<br />

On the other hand, we have<br />

xY ⊆ XY,<br />

which implies that<br />

l(xY) ≥ l(XY).<br />

Hence, we have<br />

l(xY) − l(xZ) ≥ l(XY) − l(XZ) ≥ 0,<br />

so that<br />

| l(XY) − l(XZ) | = l(XY) − l(XZ)

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