### Table 6: Pairwise comparison matrix of relevance

2002

"... In PAGE 4: ... As in step 2, all matrices are normalized and the weight of each alternative is also derived. Table6 and Table 7 give an example of this calculation, the other computation results are omitted due to space limitations. Step 4: Checking consistency of the comparisons Since the data warehouse designer evaluates all elements based on his own judgment, inconsistency is possible in building a weight matrix.... ..."

### Table 1. Fuzzy Pairwise Comparisons of Criteria

"... In PAGE 4: ... Indeed, the solution ratios of the criteria weights are within the scopes of the fuzzy judgments. For instance, PR is assessed as around three times more important than TR (see Table1 ), and the obtained weight ratio, PR/TR = 0.... ..."

### Table 3. Fuzzy pairwise comparisons for alternatives

### Table 3. Fundamental Scale used in Pairwise Comparison

"... In PAGE 9: ...able 2. Final SFM Grade Making Process (LEI) ...............................................................................29 Table3 .... In PAGE 60: ... Elements can be compared if they have the uniform scale. To perform assessment using Fuzzy AHP we should fuzzified the original Pairwise Comparison Ma- trice (Table 10 ) using the conversion numbers in Table3 , then the result is as shown in Table 11. Table 10.... ..."

### Table 2: Fuzzy Similarity Matrix

"... In PAGE 7: ... By the use of a categorical similarity matrix, it can be taken into account that some categories are more similar to each other then others. After different trials the Category Similarity Matrix of Table2 was applied account for fuzziness between the landform types considered. For instance, this matrix considers that landform elements like Upper ... ..."

### Table 4 Fuzzy preference pairwise comparison matrix of evaluator 1 E1 F1 F2 F3 F4 F5 F6 F7

"... In PAGE 7: ...{a12,a23,a34,a45,a56,a67} are listed in Table 3. The assessment of evaluator 1 is used as an example that listed in Table4 . The fuzzy preference degree was then presented in Tables 1 and 15, and the lin- guistic terms can be transferred into corresponding numbers as listed in Table 5.... ..."

### Table II. Pairwise comparison matrix and weights of criteria

### Table I. Scale for pairwise comparisons in the judgment matrix.

### Table 4. Fuzzy Comparison matrix at criteria level.

### Table 2. Fuzzy number used for making qualitative assessments

"... In PAGE 3: ... The comparisons carry the subjectiveness of researchers or managers. To avoid this problem, and to reflect the other views into evaluation these pairwise comparison matrixes convert to the fuzzy numbers using the rule in Table2 . Because of the complexity in operations triangular fuzzy numbers are used here.... ..."