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Various methods and algorithms have been developed for multiclass classification problems in recent years. How to select an effective algorithm for a multiclass classification task is an important yet difficult issue. Since the multiclass algorithm selection normally involves more than one criterion, such as accuracy and computation time, the selection process can be modeled as a multiple criteria...
In this study, we proposed a Fuzzy multi-criteria decision-making hybrid approach (FMCDM) which integrates the Fuzzy Analytic Hierarchy Process (FAHP) and the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) to evaluate the severity of the damage of Typhoon in various provinces in China. In order to match the AHP method in the 1–9 criteria, the statistics data of typhoon...
Knowledge or hidden patterns discovered by data mining from large-scale databases has great novelty, which is often unable to be gained from the experts. Given large-scale databases, this paper proposes foundations of intelligent knowledge management. It enables to generate "special" knowledge, called intelligent knowledge base on the hidden patterns created by data mining. Furthermore,...
Recent years have witnessed a large body of research works on mining knowledge from large volume of data to support decision making, where a primary assumption is that the training and test examples come from a same domain (i.e., the target domain). However, this assumption, in reality, is too rigorous to describe the training examples which may come from a different domain to the target domain (i...
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