The knowledge imperfections should be considered when modeling complex problems. A solution is to develop a model that reduces the complexity and another option is to represent the imperfections: uncertainty, vagueness and incompleteness in the knowledge base. This paper proposes…

The Knowledge Engineering Suite is an ontology production method, based on relationship networks, for knowledge representation inside specific contexts. The production of these ontologies has three basic steps, since catching the client data, knowledge base creation, and information retrieval and…

It is interesting and important to compare, analyze and assess the alternative tools that could be used in the area of Knowledge Representation. In this paper we present a reasearch line associated to this goal: to formally establish the relation…

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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…

Given an instance of an optimization problem together with an optimal solution, we consider the scenario in which this instance is modified locally. In graph problems, e. g., a singular edge might be removed or added, or an edge weight…

Early years professionals wrote about changes in their settings as part of their MA studies, and reflected on the use of theories of leadership in implementing these changes. This article describes a documentary analysis of the scripts produced. Initially basing…

This study aimed to trace the development of the implementation of knowledge management initiatives in the public sector institutions in Jordan. The study was compared with precedent study had been conducted in 2004. The results showed there is very little…

Even though knowledge in itself is nothing new, but how to effectively management it is a concern of all organizations, inclusive of university. In Iraq, there is concern by universities to manage knowledge scientifically in order to keep pace with…

For a more concrete analysis of the quantification of knowledge, one must normalize the quantification of data and information. One must, without entering into excessive detail, resort to the information theory, recognizing three features that data, information and knowledge have…