Associating the pattern in text data with the pattern with time series data is a novel task. In this paper, an approach that utilizes the features of the time series data and domain knowledge is proposed and used to identify…

A Teoria de Conjuntos Aproximados tem sido utilizada em várias áreas de
pesquisa, principalmente naquelas relacionadas com representação de conhecimento
e aprendizado de máquina. Este trabalho investiga a possibilidade do uso
de funções de pertinência aproximada (uma extensão das funções…

This paper investigates and analyses the process of building a knowledge management (KM) model at Brazil‟s Embrapa (The Brazilian Agricultural Research Corporation). Embrapa is a world class knowledge organization whose mission is to provide feasible solutions for the sustainable development…

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…

Descripción completa.

Le rôle de la communauté militaire internationale dans le cadre des opérations de maintien de la paix (OMP) s’est profondément transformé depuis la fin de la Guerre froide. En effet, elle intervient de plus en plus fréquemment dans des guerres…

Local communities are important stakeholders in resource management and conservation efforts, particularly in the developing world. Although evidence is mixed in suggesting that these resident stakeholders are optimal forest stewards, it is highly unlikely that large tracts of tropical forests…

In this paper we present an e ective prover for mbC, a minimal inconsistency logic. The mbC logic is a paraconsistent logic of the family of logics of formal inconsistency. Paraconsistent logics have several philosophical motivations as well as many…

This paper proposes an original generic hierarchical framework in order to facilitate the modeling stage of complex autonomous robotics mission planning problems with action uncertainties. Such stochastic planning problems can be modeled as Markov Decision Processes [5]. This work is…

In the past, numerous approaches have been formulated either for approximating Pareto-optimal alternatives or supporting the decision making process with an interactive multi criteria decision aiding methodology. The article on the other hand presents an integrated system for the resolution…