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However, when applying the TFAM, the use of the analytic form of y = m(x) is not needed (in contrast to the case of the classical COG technique) for the calculation of the COG of the resulting level’s area. In fact, since the marginal cases of students’ grades should be considered as common parts for any pair of the adjacent triangles, it is logical to don’t subtract the areas of the intersections from t t t t t he area of the corresponding level’s section, although in his way we count them twice; e.g. placing the ambiguous cases B+ and A- in both regions B and A. In other words, he classical COG technique, which calculates the coordinates of the COG of the area between the graph of he membership function (line OA;B,;A,B.A; B3A, B4As5Cy) and the OX axis (see Figure 1), thus considering he areas of the “common” triangles C,B,C:, C3B2C4, Cs5B3C, and C7B,4Cs only once, is not the proper one to be applied in the above situation. Figure 1. The membership function’s graph of TFAM

Figure 1 However, when applying the TFAM, the use of the analytic form of y = m(x) is not needed (in contrast to the case of the classical COG technique) for the calculation of the COG of the resulting level’s area. In fact, since the marginal cases of students’ grades should be considered as common parts for any pair of the adjacent triangles, it is logical to don’t subtract the areas of the intersections from t t t t t he area of the corresponding level’s section, although in his way we count them twice; e.g. placing the ambiguous cases B+ and A- in both regions B and A. In other words, he classical COG technique, which calculates the coordinates of the COG of the area between the graph of he membership function (line OA;B,;A,B.A; B3A, B4As5Cy) and the OX axis (see Figure 1), thus considering he areas of the “common” triangles C,B,C:, C3B2C4, Cs5B3C, and C7B,4Cs only once, is not the proper one to be applied in the above situation. Figure 1. The membership function’s graph of TFAM

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Figure 2. The area where the COG lies 6. We formulate our criterion for comparing the performance of two (or more) groups’ as follows: From elementary geometric observations (see Figure 2) it follows that for two groups the group having the greater X, performs better. Further, if the two groups have the same X,>19, then the group having the COG which is situated closer to Fi is the group with the greater Y,. Also, if the two groups have the same X,<19, then the group having the COG which is situated farther to Fw is the group with the smaller Y,. Based on the above considerations it is logical to formulate our criterion for comparing the two groups’ performance in the following form:
Figure 2. The area where the COG lies 6. We formulate our criterion for comparing the performance of two (or more) groups’ as follows: From elementary geometric observations (see Figure 2) it follows that for two groups the group having the greater X, performs better. Further, if the two groups have the same X,>19, then the group having the COG which is situated closer to Fi is the group with the greater Y,. Also, if the two groups have the same X,<19, then the group having the COG which is situated farther to Fw is the group with the smaller Y,. Based on the above considerations it is logical to formulate our criterion for comparing the two groups’ performance in the following form:
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MathematicsComputer ScienceAnalogical Reasoning
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