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Example 1: Table 2: Collected Data Examples start from the initial rule-based system presented in figure 2.

Table 2 Example 1: Table 2: Collected Data Examples start from the initial rule-based system presented in figure 2.

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Table 1: Collected data. The model will be illustrated using as example a system, which help to identify potential buyers, taking into account a number of characteristics, which determine his profile. A possible set of cases for this determination is shown in Table 1. These cases will form the hypothetical case base of the CBR system.
Table 1: Collected data. The model will be illustrated using as example a system, which help to identify potential buyers, taking into account a number of characteristics, which determine his profile. A possible set of cases for this determination is shown in Table 1. These cases will form the hypothetical case base of the CBR system.
Figure 3. Proposed Rule Based System Life Cycle. Figure 3 describes the proposed life cycle for the rule based system. The new cases are used to obtain a new theory, as it has been done before for creating the initial one. New rules will appear and/or the degree of credibility of rules will change. Then, the old rules are revised with these ones. The result is a new knowledge base, which incorporates the evolution of knowledge in time.
Figure 3. Proposed Rule Based System Life Cycle. Figure 3 describes the proposed life cycle for the rule based system. The new cases are used to obtain a new theory, as it has been done before for creating the initial one. New rules will appear and/or the degree of credibility of rules will change. Then, the old rules are revised with these ones. The result is a new knowledge base, which incorporates the evolution of knowledge in time.
Table 3: Collected Data
Table 3: Collected Data
Table 4: Collected Data Example 3: References Figure 5. Revised theory.
Table 4: Collected Data Example 3: References Figure 5. Revised theory.
Related topics:
Belief RevisionCBR Systems
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