This paper presents the results of an investigation into a specific extended knowledge model concept, named a Product Range Model (PRM), which combines both rule based systems and case based reasoning to provide product design decision support.
In this paper we propose a coupling between two knowledge based methods: Case Based Reasoning and Constraint Satisfaction Problem to accelerate preliminary design by on line knowledge acquisition during problem solving episodes.
We thus may have overlooked that a problem based or case based curriculum could include elements from GP/FM without having a proper GP/FM section.
Overall, the results of both evaluations suggest that liaison based on case based discussions, often about patients in crisis, resulted in improved mental health care at the interface in a significant minority of practices.
After careful design that included: (a) feature reduction by SFRS; (b) case selection by the combination use of SFRS and the concept of case coverage; (c) reasoning by two classification techniques of case coverage based prediction and case score based prediction, this study demonstrates that the highly cited papers could be predicted by objectively assessed factors.
The second enhancement consists of two methods called case based and mathematical based and concentrates on accurate calculation of conditional joint correlations which makes the algorithm much more dependable than the basic single-pass method.
Taking advantages of the CBR methodology, a most similar case can be easily retrieved from the pre-built design knowledge-base and case-base when a new design task comes.
The correlation between different cases in the original case base was analyzed by using similarity, and case base sets were designed in three different principles.
Thus, the decision to select an imaging modality for diagnostic purposes can be dependent for case based and should be based on the diagnostic yield expected, and in accordance with the ALARA (As Low As Reasonably Achievable) principle [ 34, 35].
A qualitative experiment based on focus groups and on a case based reasoning approach delivers operable criteria of eco-innovation and redefines at the same time what eco-innovation is.
Such methodology exploits the integration of case based reasoning (CBR) and rule based reasoning (RBR), with the aim of helping physicians during therapy planning, by overcoming the intrinsic limitations shown by the independent application of the two reasoning paradigms.
