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Theoretically, each level of the hierarchy consists of multi-dimensional alternative choices or decision elements, as noted in Figure 1 as Level 1. Multi-criteria objectives that lead to multiple subcriteria are shown in Level 2. At the bottom of the figure, multiple output results from multiple actions are shown in Level 3.

Figure 1.HDM conceptual framework.

The decision element at a specific level has an impact on several elements at the next nod level in the connecting lines. Let’s say, we are seeking to make an operational level decision to produce a cloud model of technology that contributes to several or maybe all subcriteria at the target level. Consequently, reaching our fulfillment level (i.e., the goal) that contributes to several or all the objectives. Figure 1 depicts how the goal, criteria and alternatives are related.

The process of evaluation between each internal relationship in such a hierarchy requires assigning a numerical value to each branch of the hierarchical network structure, as shown in Figure 1. The values are assigned to represent the relative contribution of one element to the next on different levels. As this process is completed, an evaluation model is developed to obtain the relative measure of effectiveness for each element at the bottom of the decision hierarchy, in terms of the elements at the top. In other words, each of the items (that makes Level 2) has a percentage value if the sum is equal to 1. Also, the sum value of each subcriteria is equal to the respective criteria at Level 2 (i.e., the upper limit for the number of relationships is defined by the product of the number of elements at the sublevels).