In a production system it is usual to stress minimum tardiness to achieve higher client satisfaction.
According to the client relevance, job processing costs and requirements, and various other considerations, a weight is assigned to each job. An important, non-trivial,…

The anthropogenic dark earths (ADE, Terra Preta de Índio or terra preta arqueológica, as are often referred to in Portuguese) feature unique properties that are interesting not only from a pedological point of view but have important agronomic and economic…

The reality of global climate changes creates the necessity of predicting how will be the climatic scenario in our planet and how it will affect the economic activities in the future. For some climatic variables the global climate models projections…

This paper presents a knowledge-based approach to
reducing impediments to collaboration in a
distributed environment. A major impediment to
such collaboration is the issue of communications -
clearly and efficiently expressing the desires of every
stakeholder in the process, as…

La antropología económica nace presuponiéndose como una interdisciplina, un intercambio de conceptos, información y conocimientos entre las ciencias económicas y las antropológicas. En este trabajo analizamos primeramente algunos de sus problemas fundantes y las proyecciones de tales tópicos en las…

El presente artículo trata la aplicación de un sistema experto capaz de determinar la factibilidad de funcionamiento de una máquina térmica desde el punto de vista termodinámico, mediante el análisis del diseño de un ciclo de potencia, el ciclo Joule…

This paper demonstrates the importance of knowledge for effective
management of outsourcing. Drawing on an empirical study on automakers?
management of supplier involvement in product development in Japan, this paper shows
that the level of own knowledge is critical for…

Knowledge acquisition for systems based on knowledge can be called knowledge engineering, according to Feigenbaum (1980) who used the term to describe the reduction of a wide context of knowledge for a set of facts and rules. The term Knowledge…

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Artificial neural networks (ANN) are very efficient in solving various kinds of problems But Lack of explanation capability (Black box nature of Neural Networks) is one of the most important reasons why artificial neural networks do not get necessary interest…