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A GP-AHP method for solving group decision-making fuzzy AHP ...

A GP-AHP method for solving group decision-making fuzzy AHP ...

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C.-S. Yu / Computers & Operations Research 29 (2002) 1969–2001 1975<br />

Fig. 2. A<strong>fuzzy</strong> value log a12.<br />

Proof. This proposition can be veri ed as follows:<br />

(i) If log aij 6 log aij;2 then<br />

(log aij)=sij;L(log aij − log aij;1)+ sij;R − sij;L<br />

(|log aij − log aij;2| + log aij − log aij;2)<br />

2<br />

= sij;L(log aij − log aij;1):<br />

(ii) If log aij;2 6 log aij 6 log aij;3 then<br />

(log aij)=sij;L(log aij − log aij;1)+ sij;R − sij;L<br />

(|log aij − log aij;2| + log aij − log aij;2)<br />

2<br />

= sij;L(log aij − log aij;1)+(sij;R − sij;L)(log aij − log aij;2)<br />

= sij;L(log aij;2 − log aij;1)+sij;R(log aij − log aij;2):<br />

This proposition is then proved. Consider the following example.<br />

Example 1.<br />

Maximize (log a12)<br />

Subject to a12 ¿ 0;<br />

where log a12 is a <strong>fuzzy</strong> value depicted in Fig. 2.<br />

Through Proposition 2, (log a12) can be expressed as follows:<br />

−14:93718 − 5:67887<br />

(log a12)=5:67887(log a12 − log 2) +<br />

2<br />

(|log a12 − log 3| + log a12 − log 3)

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