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Information and Knowledge Management using ArcGIS ModelBuilder

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Shabnam Pas<strong>and</strong>ide, Abbas Toloie Eshlaghi, <strong>and</strong> Reza Radfar<br />

Sub-Criteria Importance-weight<br />

C12 0.5548 0.6086 0.6585<br />

C13 0.3387 0.4619 0.5692<br />

C14 0.4027 0.4765 0.5392<br />

C15 0.4808 0.5440 0.5951<br />

C16 0.2567 0.5165 0.7077<br />

C17 0.7870 0.9349 0.9895<br />

C18 0.4111 0.6323 0.8242<br />

C19 0.7519 0.8024 0.8445<br />

C20 0.8147 0.8650 0.9064<br />

C21 0.7508 0.8013 0.8435<br />

C22 0.7460 0.7966 0.8430<br />

C23 0.7199 0.7765 0.8285<br />

C24 0.3410 0.5574 0.7563<br />

C25 0.7289 0.8206 0.9043<br />

C26 0.8161 0.8831 0.9378<br />

C27 0.8450 0.9039 0.9519<br />

C28 0.8567 0.9157 0.9635<br />

C29 0.8537 0.9094 0.9546<br />

C30 0.8458 0.9047 0.9581<br />

C31 0.8070 0.9448 0.9895<br />

C32 0.7675 0.9251 0.9895<br />

C33 0.8139 0.9587 1.0000<br />

C34 0.7057 0.8834 0.9791<br />

C35 0.7675 0.9251 0.9895<br />

C36 0.8577 0.9135 0.9536<br />

C37 0.7833 0.8425 0.8965<br />

C38 0.8213 0.8840 0.9354<br />

Each sub-criteria is evaluated by a group which consists of 10 experts <strong>and</strong> their weights, with the<br />

contribution of Equation (1), have been calculated <strong>and</strong> the results are gathered in Table 4.<br />

Table 5: Evaluating sub-main criteria weights<br />

Criteria Fuzzy Weight Criteria Fuzzy Weight<br />

C1 0.7545 0.8985 0.9689 C11 0.5557 0.7671 0.9154<br />

C2 0.5990 0.7848 0.9338 C12 0.6357 0.7395 0.8144<br />

C3 0.6109 0.6109 0.6109 C13 0.4259 0.4259 0.4259<br />

C4 0.4289 0.4289 0.4289 C14 0.3736 0.5300 0.6204<br />

C5 0.5688 0.7689 0.9031 C15 0.8024 0.8024 0.8024<br />

C6 0.8650 0.8650 0.8650 C16 0.8013 0.8013 0.8013<br />

C7 0.7461 0.7461 0.7461 C17 0.3410 0.5574 0.7563<br />

C8 0.5467 0.5467 0.5467 C18 0.7832 0.7832 0.7832<br />

C9 0.7959 0.9428 0.9930 C19 0.7359 0.9040 0.9843<br />

C10 0.8221 0.8221 0.8221 C20 0.7117 0.7117 0.7117<br />

Table 6: Evaluating main criteria weights<br />

Criteria Fuzzy Weight Criteria Fuzzy weight<br />

C1 0.8139 0.9587 1.0000 C11 0.8346 0.9689 1.0000<br />

C2 0.7937 0.9487 1.0000 C12 0.5765 0.7756 0.9251<br />

C3 0.6062 0.7921 0.9251 C13 0.1178 0.3436 0.5792<br />

C4 0.3644 0.5894 0.7548 C14 0.6429 0.8209 0.9349<br />

C5 0.6434 0.8313 0.9587 C15 0.7870 0.9349 0.9895<br />

C6 0.6935 0.8759 0.9650 C16 0.6216 0.8005 0.9251<br />

C7 0.6997 0.8706 0.9689 C17 0.5621 0.7675 0.9251<br />

C8 0.2954 0.5165 0.7237 C18 0.5435 0.7484 0.9154<br />

C9 0.7057 0.8834 0.9791 C19 0.7740 0.9387 1.0000<br />

C10 0.7321 0.7823 0.8325 C20 0.6910 0.7413 0.7916<br />

The 38 sub-criteria by means of geometric mean, which means by <strong>using</strong> equation (1), have been<br />

transformed into 20 criteria. The results are listed in Table 5. Moreover, geometric mean of these 20<br />

399

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