Displaying similar documents to “Semantic evaluation of prognostic statements on the base of probabilistic parameters”

How to secure a high quality knowledge base in a rulebased system with uncertainty

Beata Jankowska (2006)

International Journal of Applied Mathematics and Computer Science

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Although the first rule-based systems were created as early as thirty years ago, this methodology of expert systems designing still proves to be useful. It becomes especially important in medical applications, while treating evidence given in an electronic format. Constructing the knowledge base of a rule-based system and, especially, of a system with uncertainty is a difficult task because of the size of this base as well as its heterogeneous character. The base consists of facts, ordinary...

Linguistic knowledge base simplification regarding accuracy and interpretability.

José M. Alonso, Luis Magdalena, Serge Guillaume (2006)

Mathware and Soft Computing

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This work proposes a new method in order to simplify linguistic knowledge bases. The main goal consists of improving simultaneously accuracy and interpretability when it is possible, or at least ensuring a good trade-off between them, as well as consistency of the final knowledge base. It is used with linguistic rules which can be defined by expert, induced by data, or both of them. The simplification process is applied to the well known wine classification problem. The results are encouraging. ...

From ignorance to uncertainty: a conceptual analysis

Pietro Baroni, Giovanni Guida, Silvano Mussi (1998)

Kybernetika

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This paper aims to develop an analysis of how ignorance affects the reasoning activity and is related to the concept of uncertainty. With reference to a simple inferential reasoning step, involving a single piece of relational knowledge, we identify four types of ignorance and show how they give rise to different types of uncertainty. We then introduce the concept of reasoning attitude, as a basic choice about how reasoning should be carried out in presence of ignorance. We identify...

The HeKatE methodology. Hybrid engineering of intelligent systems

Grzegorz J. Nalepa, Antoni Ligęza (2010)

International Journal of Applied Mathematics and Computer Science

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This paper describes a new approach, the HeKatE methodology, to the design and development of complex rule-based systems for control and decision support. The main paradigm for rule representation, namely, eXtended Tabular Trees (XTT), ensures high density and transparency of visual knowledge representation. Contrary to traditional, flat rule-based systems, the XTT approach is focused on groups of similar rules rather than on single rules. Such groups form decision tables which are connected...

Defining the semantics of rule-based Web applications through model-driven development

Joaquín Cañadas, José Palma, Samuel Túnez (2011)

International Journal of Applied Mathematics and Computer Science

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Rule languages and inference engines incorporate reasoning capabilities to Web information systems. This paper presents an approach for the specification and development of Web applications performing the usual functionalities of data management and incorporating a rule engine for reasoning capabilities. The proposed approach is based on the definition of a high-level representation of the semantics of rule-based applications through a formalism for conceptual modeling combining lightweight...