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Rudarski radovi br 4 2011 - Institut za rudarstvo i metalurgiju Bor

Rudarski radovi br 4 2011 - Institut za rudarstvo i metalurgiju Bor

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we are faced with the problem of fuzzy number<<strong>br</strong> />

comparison, because the activity durations<<strong>br</strong> />

as well as their early and late completions<<strong>br</strong> />

are also fuzzy numbers. One of the<<strong>br</strong> />

methods we could use in this case is Kaufmann<<strong>br</strong> />

and Gupta’s method [4] for fuzzy<<strong>br</strong> />

number comparison. This is a simple method<<strong>br</strong> />

of fuzzy number comparison which is performed<<strong>br</strong> />

in three steps.<<strong>br</strong> />

Step 1<<strong>br</strong> />

In this step, we comparet, the „removal”<<strong>br</strong> />

of fuzzy numbers. It the given fuzzy number<<strong>br</strong> />

is M = { x, μ ( x),<<strong>br</strong> />

} so that the x value is<<strong>br</strong> />

M<<strong>br</strong> />

within the scope of fuzzy number M and<<strong>br</strong> />

x ∈ X .<<strong>br</strong> />

It the lower or upper limit within the X<<strong>br</strong> />

domain is marked as x ,<<strong>br</strong> />

−<<strong>br</strong> />

−<<strong>br</strong> />

x , respectively<<strong>br</strong> />

μ ( x ) is the possibility distribution<<strong>br</strong> />

M<<strong>br</strong> />

function of the fuzzy number M .<<strong>br</strong> />

In order to determine „the “removal“<<strong>br</strong> />

of the fuzzy number M in comparison<<strong>br</strong> />

with the real value k, we should first define<<strong>br</strong> />

the terms:<<strong>br</strong> />

• "left removal", RL( M ,k), and<<strong>br</strong> />

• "right removal", RD ( M , k).<<strong>br</strong> />

"Left removal" RL ( M ~ , k) is calculated<<strong>br</strong> />

as a surface below the curve of the membership<<strong>br</strong> />

function of the M ~ fuzzy number<<strong>br</strong> />

between the lower limit of the M fuzzy<<strong>br</strong> />

number scope and scalar K, which is represented<<strong>br</strong> />

by the following expressions:<<strong>br</strong> />

k<<strong>br</strong> />

RL( M, k) = ∫ μ ( x)<<strong>br</strong> />

for continuous fuzzy<<strong>br</strong> />

M<<strong>br</strong> />

x<<strong>br</strong> />

−<<strong>br</strong> />

numbers.<<strong>br</strong> />

k μ ( xi−1) + μ ( xi)<<strong>br</strong> />

M M<<strong>br</strong> />

RL( Mk , ) = ∑<<strong>br</strong> />

⋅( xi−xi−1) for<<strong>br</strong> />

i=<<strong>br</strong> />

2 2<<strong>br</strong> />

discreet fuzzy numbers.<<strong>br</strong> />

"Right removal", RD (M ~ , k) is calculated<<strong>br</strong> />

as a surface below the curve of the<<strong>br</strong> />

membership function of the M ~ fuzzy<<strong>br</strong> />

number between the scalar k to the upper<<strong>br</strong> />

limit of M fuzzy number scope, which is<<strong>br</strong> />

represented by the following expressions:<<strong>br</strong> />

No 4, <strong>2011</strong>. 162<<strong>br</strong> />

MINING ENGINEERING<<strong>br</strong> />

−<<strong>br</strong> />

x<<strong>br</strong> />

RD( M , k) = ∫ μ ( x)<<strong>br</strong> />

for continuous<<strong>br</strong> />

k<<strong>br</strong> />

M<<strong>br</strong> />

fuzzy numbers.<<strong>br</strong> />

−<<strong>br</strong> />

x μ ( xi−1) + μ ( xi)<<strong>br</strong> />

M M<<strong>br</strong> />

RD ( M, k)<<strong>br</strong> />

= for<<strong>br</strong> />

∑<<strong>br</strong> />

i= k+<<strong>br</strong> />

1 2<<strong>br</strong> />

discreet fuzzy numbers.<<strong>br</strong> />

The total “removal” of M fuzzy number<<strong>br</strong> />

in comparasion to the real number k is<<strong>br</strong> />

calculated according to the expression:<<strong>br</strong> />

RL ( M , k) + RD ( M , k)<<strong>br</strong> />

R ( M , k)<<strong>br</strong> />

=<<strong>br</strong> />

2<<strong>br</strong> />

In case that M fuzzy number has a<<strong>br</strong> />

triangular membership function (k=0),<<strong>br</strong> />

then a half Hamming distance is used:<<strong>br</strong> />

R ( M , k)<<strong>br</strong> />

=<<strong>br</strong> />

x + 2 x′ + x<<strong>br</strong> />

−<<strong>br</strong> />

4<<strong>br</strong> />

where:<<strong>br</strong> />

−<<strong>br</strong> />

x , x , x<<strong>br</strong> />

−<<strong>br</strong> />

−<<strong>br</strong> />

' - are abscises of the corre-<<strong>br</strong> />

sponding vertices of a triangular fuzzy<<strong>br</strong> />

number.<<strong>br</strong> />

Now it the two fuzzy numbers are<<strong>br</strong> />

given be M = { x, μ ( x),<<strong>br</strong> />

} and<<strong>br</strong> />

M<<strong>br</strong> />

N = y, μ ( y)<<strong>br</strong> />

. It is considered that the<<strong>br</strong> />

{ } N<<strong>br</strong> />

fuzzy number M is smaller than the<<strong>br</strong> />

fuzzy number N if and only if the following<<strong>br</strong> />

is valid:<<strong>br</strong> />

R ( M , k) < R ( N, k)<<strong>br</strong> />

and vice versa.

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