## 4 Results and Discussions
### Experimental Results  
The methods discussed in Section 3 are illustrated here. Since the procedure is the same for all the books in each course, we have demonstrated examples considering the books used in only one course. For the sake of simplicity, the books on 'Data Structure' are considered. This is because different ranked universities have different rankings of books in which the same book may be repeated everywhere, or there may be only one book that is included in the ranking of the respective universities. The respective university ranking of the books on Data Structure is listed in Table 3. The books on Data Structure (DS) are represented by the codes 'DS1', 'DS2', etc., and we can easily find that the book DS1 is placed in first rank by Univ_1. At the same time, no two universities have recommended the same book in the first rank. Moreover, no two books have been included in the ranking of more than two universities. Only the books DS1 and DS3 are included twice in the top-ranked universities' ranking of books. A total of 16 books on Data Structure have been included in the ranking of the top seven universities. As can be seen, the first-ranked university has only one book in its prescribed syllabus. The positional aggregation technique-based score has been obtained by the procedure stated in [11] and discussed in Section 3. For the sake of simplicity and to save space, we have represented the final score of the books of one course (Data Structure) only (Table 4). In this paper, we intend to show how human-centric aggregation can perform and how the changes in weight assignment will enhance the aggregation for a problem that incorporates human-specific decisions. Therefore, the results that have been obtained by applying OWA (most preferred first) are shown. The method for a single book is illustrated below. Here, we have focused on criteria related to the selection of books by a university. Therefore, we have classified seven selection criteria, which is basically the total number of universities under consideration. The weight assignment formula, as suggested in Equation (4), is used to calculate weights for the seven criteria. The weights for OWA (most preferred first) are given in Table 5. \begin{table}
\begin{tabular}{c c c c c c c} \hline
**Book Code** & \(\mathbf{U_{1}}\) & \(\mathbf{U_{2}}\) & \(\mathbf{U_{3}}\) & \(\mathbf{U_{4}}\) & \(\mathbf{U_{5}}\) & \(\mathbf{U_{6}}\) & \(\mathbf{U_{7}}\) \\ \hline DS.1 & 1 & 0 & 0 & 0.9375 & 0 & 0 & 0 \\ \hline DS.2 & 0 & 1 & 0 & 0 & 0 & 0 \\ \hline DS.3 & 0 & 0.9375 & 0 & 0 & 0.8125 & 0 & 0 \\ \hline DS.4 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \\ \hline DS.5 & 0 & 0 & 0.9375 & 0 & 0 & 0 & 0 \\ \hline DS.6 & 0 & 0 & 0.875 & 0 & 0 & 0 & 0 \\ \hline DS.7 & 0 & 0 & 0.8125 & 0 & 0 & 0 & 0 \\ \hline DS.8 & 0 & 0 & 0.75 & 0 & 0.9375 & 0 & 0 \\ \hline DS.9 & 0 & 0 & 0 & 1 & 0 & 1 & 0 \\ \hline DS.10 & 0 & 0 & 0.875 & 0 & 0.875 & 0 \\ \hline DS.11 & 0 & 0 & 0 & 0.8125 & 0 & 0 & 0 \\ \hline DS.12 & 0 & 0 & 0 & 0 & 1 & 0 & 0 \\ \hline DS.13 & 0 & 0 & 0 & 0 & 0.875 & 0 & 0 \\ \hline DS.14 & 0 & 0 & 0 & 0 & 0 & 0.9375 & 0 \\ \hline DS.15 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \\ \hline DS.16 & 0 & 0 & 0 & 0 & 0 & 0 & 0.9375 \\ \hline \end{tabular}
\end{table} 
Table 4: Quantified Positional Score for books on Data Structure. \begin{table}
\begin{tabular}{c c c c c c c c} \hline
**Rank Position** & \(\mathbf{U_{1}}\) & \(\mathbf{U_{2}}\) & \(\mathbf{U_{3}}\) & \(\mathbf{U_{4}}\) & \(\mathbf{U_{5}}\) & \(\mathbf{U_{6}}\) & \(\mathbf{U_{7}}\) \\ \hline
1 st & DS1 & DS2 & DS4 & DS9 & DS12 & DS9 & DS15 \\ \hline
2 nd & x & DS3 & DS5 & DS1 & DS8 & DS14 & DS16 \\ \hline
3 rd & x & x & DS6 & DS10 & DS13 & DS10 & x \\ \hline
4 th & x & x & DS7 & DS11 & DS3 & x & x \\ \hline
5 th & x & x & DS8 & x & x & x \\ \hline
6 th & x & x & x & x & x & x \\ \hline
7 th & x & x & x & x & x & x \\ \hline
8 th & x & x & x & x & x & x \\ \hline
9 th & x & x & x & x & x & x \\ \hline
10 th & x & x & x & x & x & x \\ \hline \end{tabular}
\end{table} 
Table 3: Ranking of books on Data Structure by top universities.