Results 221 to 230 of about 81,755 (261)

A Semantic Framework for Sequential Decision Making

2015
Current developments in the medical domain, not unlike many other sectors, are marked by the growing digitalisation of data, including patient records, study results, clinical guidelines or imagery. This trend creates the opportunity for the development of innovative decision support systems to assist physicians in making a diagnosis or preparing a ...
Patrick Philipp 0002, Maria Maleshkova, Achim Rettinger, Darko Katic   +3 more
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Semantically convergent and semantically divergent priming in the cerebral hemispheres: lexical decision and semantic judgment

Cognitive Brain Research, 2003
The effects of semantically divergent and semantically convergent priming on the processing of lexical ambiguity by the two cerebral hemispheres were examined in two visual hemifield experiments. The experiments investigated the ability of the right hemisphere (RH) and the left hemisphere (LH) to summate activation from two single word primes followed ...
Miriam, Faust, Michal, Lavidor
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Engineering Semantic Evaluation of Decision Rules

Journal of Intelligent & Fuzzy Systems, 1997
This paper proposes an engineering semantic evaluation method of a collection of decision rules, acquired automatically or manually. The method is intended to complement the available decision rule evaluation methods which are based on the use of various empirical error rates. These methods are often criticized as evaluating only the “predictive power”
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Semantic Decision Tables: Self-organizing and Reorganizable Decision Tables

2008
A Semantic Decision Table (SDT) provides a means to captureand examinedecision makers' concepts, as well as a tool for refiningtheir decision knowledge and facilitating knowledgesharingin a scalablemanner. One challenge SDT faces is to organize decision resources represented in a tabular format based on the user's needs at different levels.
Yan Tang, Robert Meersman, Jan Vanthienen   +2 more
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On Conducting a Decision Group to Construct Semantic Decision Tables

2007
Semantic Decision Table (SDT) was introduced to support collaborative decision making. Semantics, a group of decision makers, mutual understanding and collaborative environment(s) are at the heart of SDT. In practice, it is rather difficult to construct SDT within a decision group.
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Semantic Data Selections and Mining in Decision Tables

2011
This article concerns the integration of selected concepts and methods, which are characteristic for rough sets, with techniques used in relational databases. The aim is to improve the efficiency in the realization of complex computational operations. In this paper we have presented implementations of algorithms of core attributes selection, the method
Krzysztof Czajkowski, Mieczyslaw Drabowski   +1 more
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Semantics, Analysis and Simplification of DMN Decision Tables

Information Systems, 2018
Abstract The Decision Model and Notation (DMN) is a standard notation to capture decision logic in business applications. A central construct in DMN is that of a decision table. The increasing use of DMN decision tables to capture critical business knowledge raises the need to support analysis and refactoring tasks on these tables.
Diego Calvanese, Marlon Dumas, Ülari Laurson, Fabrizio Maria Maggi, Marco Montali, Irene Teinemaa   +5 more
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Semantic Technologies for Business Decision Support

2017
XV n.s.
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Semantic field as a bridge between data and decision

KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516), 2002
This paper discusses how the semantic field can be used for making decisions under given data that consist of objects, properties and relations among objects and properties, using the example described in R. Wille's (1989) theory of context.
Germano Resconi, Tetsuya Murai, Michinori Nakata   +2 more
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Semantic Multi-Criteria Decision Making SeMCDM

2009 IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making, 2009
Multi-Criteria Decision Making promises important development in the capabilities of intelligent autonomous and adaptive devices. Ontologies and inference engines enable semantic matching between criteria. This paper presents an approach to take benefit from these technologies in distributed autonomous devices.
Ghadi Mahmoudi, Christian Müller-Schloer   +1 more
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