Feature subset selection presents a common challenge for the applications where data with tens or hundreds of features are available. Existing feature selection algorithms are mai...
This paper presents a knowledge-intensive support paradigm for platform-based product family design and development. The fundamental issues underlying the product family design an...
Recent research has recognised that multicriteria decision making (MCDM) should take account of uncertainty, risk and confidence. This paper takes this research forward by using l...
We show how Formal Concept Analysis (FCA) can be applied to Collaborative Recommenders. FCA is a mathematical method for analysing binary relations. Here we apply it to the relati...
Metaphor and analogy are perhaps the most challenging aspects of linguistic creativity for a conceptual representation to facilitate, since by their very nature they seek to stret...
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
The organizational architecture of the multi-agent systems and the structure of social knowledge that the members of the community administer are critical factors for assuring suc...
Bayesian networks (BNs) provide a means for representing, displaying, and making available in a usable form the knowledge of experts in a given Weld. In this paper, we look at the...