Ontology-based Case-Based Reasoning (OntCBR) for Engineering ...
Ontology-based Case-Based Reasoning (OntCBR) for Engineering ...
Ontology-based Case-Based Reasoning (OntCBR) for Engineering ...
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8. <strong>Case</strong> Search with Networks<br />
8.2 Searching RDN<br />
1) Use parallel searching <strong>for</strong> RDN connected with the case-structure-node<br />
2) Find a union set of cases after parallel searching<br />
3) Find the most similar case through full partial match with the found cases.<br />
attributes and values of a new prob.<br />
Flow_rate<br />
has_q_val<br />
fast<br />
Noise<br />
has_q_val<br />
low<br />
has_d_val<br />
CarType SUV<br />
intall<br />
has_d_val<br />
has_q_val<br />
Inside_car<br />
out_diameter<br />
has_n_val<br />
wide<br />
Country<br />
China<br />
56<br />
RDN #4<br />
flow_rate<br />
noise CarType …<br />
sim_val(n)<br />
sim_val(n) sim_val(n)<br />
= 1<br />
= 0.5 = 0<br />
fast normal slow<br />
low mid<br />
MOP2<br />
MOP3 MOP5 omitted omitted<br />
flow_rate= fast <strong>Case</strong> #3 <strong>Case</strong> #4<br />
noise = low noise = mid<br />
noise<br />
sim_val(n)<br />
= 0.5 mid<br />
<strong>Case</strong> #5<br />
low<br />
MOP4<br />
sim_val(n)<br />
= 0.7<br />
sim_val(n)<br />
= 1<br />
flow_rate= fast<br />
noise = low<br />
standard<br />
CarType<br />
premium<br />
<strong>Case</strong> #1 <strong>Case</strong> #2<br />
MOP1<br />
flow_rate flow_rate<br />
fast slow<br />
sim_val(n)<br />
= 0.3<br />
-<br />
<strong>Case</strong>#4 <strong>Case</strong> #5<br />
fast normal<br />
<strong>Case</strong> #3<br />
4<br />
5<br />
CSN Search<br />
RDN Search<br />
Memory organization packet<br />
(MOP)<br />
Attribute-concept<br />
Values (Qualitative_value_concept,<br />
Defined-value-concept)<br />
<strong>Case</strong>