Data mining is a powerful method to extract knowledge from data. Raw data faces various
challenges that make traditional method improper for knowledge extraction. Data mining is …

Nature has always been a source of inspiration. Over the last few decades, it has stimulated
many successful algorithms and computational tools for dealing with complex and …

Many previous researches concerning the performance of airlines usually focus on
operation. Financial performance, which would influence the survival of an airline, is often …

Traditional clustering partitions a group of objects into a number of nonoverlapping sets
based on a similarity measure. In real world, the boundaries of these sets or clusters may not …

OBJECTIVE: Traditional Chinese medicine (TCM) is a scientific discipline, which develops
the related theories from the long-term clinical practices. The large-scale clinical data are the …

Background Intraoperative hypotension is associated with myocardial injury, acute kidney
injury, and death. In routine practice, specific causes of intraoperative hypotension are often …

In this paper, financial performance of Taiwan container shipping companies are evaluated
by fuzzy multi-criteria decision-making (FMCDM). In the evaluating problem, we first apply …

In France, half of the users feel safe in public transportation. Even though women feel less
safe than men, perceptions and transportation habits may differ across women. This study …

In this paper, we combine grey relation analysis with fuzzy multi-criteria group decision-
making (FMCGDM) to evaluate financial performance of Taiwan container lines. In the …

When companies evaluate their performance, it is impractical to take all of their financial
ratios into consideration. To evaluate the financial performance of a company, only a fraction …