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