There are three kinds of uncertainty in the process of fish-disease diagnosis, such as randomicity, fuzzy and imperfection, which affect the veracity of fish-disease diagnostic conclusion. So, it is important to construct a fish-disease diagnostic model to effectively deal with…

As many authors have stated, the importance of organizational learning is fundamental in order to gain competitive advantage and survive in a turbulent environment. Many learning models have been studied in recent years. They have been used to analyze practices…

Artificial Intelligence deals with the challenge of modeling commonsense reasoning. In the last fifteen years argument-based systems have came forward to meet this challenge as knowledge representation and reasoning tools able to model incomplete and conflicting information. We believe that…

Although BNs have been used successfully for many medical diagnosis problems, there have been few applications to epidemiological data where data mining methods play a significant role. In this paper, we look at the application of BNs to epidemiological data,…

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Data mining researchers have long been concerned with the application of tools to facilitate and improve data analysis on large, complex data sets. The current challenge is to make data mining and knowledge discovery systems applicable to a wider range…

The Bollettino del CILEA comes to n° 100. This goal has been reached slightly after 30 years activity of the Consortium achieved on July the 1st 2005. The publication of the second hundred would like to get new ambitious targets…

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Two of the funerary orations of Hyrtakenos (XIVth century) reveal his knowledge of Nonnus' Dionysiaca; these join other testimonies to the popularity of Nonnus in the late Byzantine period and the Renaissance.