Wyniki wyszukiwania - BazTech

1

Ant-based extraction of rules in simple decision systems over ontological graphs

Pancerz K., Lewicki A., Tadeusiewicz R.

International Journal of Applied Mathematics and Computer Science

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2015

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Vol. 25, no. 2

377--387

EN

In the paper, the problem of extraction of complex decision rules in simple decision systems over ontological graphs is considered. The extracted rules are consistent with the dominance principle similar to that applied in the dominance-based rough set approach (DRSA). In our study, we propose to use a heuristic algorithm, utilizing the ant-based clustering approach, searching the semantic spaces of concepts presented by means of ontological graphs. Concepts included in the semantic spaces are values of attributes describing objects in simple decision systems.

2

Application of Rough Set Theory to Prediction of Antimicrobial Activity of Bis-Quaternary Imidazolium Chlorides

Pałkowski Ł., Krysiński J., Błaszczyński J., Słowiński R., Skrzypczak A., Błaszczak J., Gospodarek E., Wróblewska J.

Fundamenta Informaticae

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2014

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Vol. 132, nr 3

315--330

EN

The paper investigates relationships between chemical structure, surface active properties and antibacterial activity of 70 bis-quaternary imidazolium chlorides. Chemical structure and properties of imidazolium chlorides were described by 7 condition attributes and antimicrobial properties were mapped by a decision attribute. Dominance-based Rough Set Approach (DRSA) was applied to discover a priori unknown rules exhibiting monotonicity relationships in the data, which hold in some parts of the evaluation space. Strong decision rules discovered in this way may enable creating prognostic models of new compounds with favorable antimicrobial properties. Moreover, relevance of the attributes estimated from the discovered rules allows to distinguish which of the structure and surface active properties describe compounds that have the most preferable and the least preferable antimicrobial properties.

3

A Novel Method for Elimination of Inconsistencies in Ordinal Classification with Monotonicity Constraints

Deng W., Hu F., Wang G., Błaszczyński J., Słowiński R., Szeląg M.

Fundamenta Informaticae

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2013

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Vol. 126, nr 4

377--395

EN

In order to handle inconsistencies in ordinal and monotonic information systems, several relaxed versions of the Dominance-based Rough Set Approach (DRSA) have been proposed, e.g., VC-DRSA. These versions use special consistency measures to admit some inconsistent objects in the lower approximations. The minimal consistency level that has to be attained by objects included in the lower approximations is defined using a prior knowledge or a trial-and-error procedure. In order to avoid dependence on prior knowledge, an alternative way of handling inconsistencies is to iteratively eliminate the most inconsistent objects (according to some measure) until the information system becomes consistent. This idea is a base of a new method of handling inconsistencies presented in this paper and called TIPStoC. The TIPStoC algorithm is illustrated by an example from the area of telecommunication and the efficiency of the new method is proved by a computational experiment.

4

Child well being estimation as a multi-criteria decision problem

Adamus E., Klęsk P., Kołodziejczyk J., Korzeń M., Piegat A., Pluciński M.

Metody Informatyki Stosowanej

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2011

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nr 4

279-286

EN

The aim of the article is to establish a list of capabilities with reference to children’s well being in Poland. This issue can be considered as a multicriterial classification problem where decision attributes classes are ordered due to the preference – criteria. We used a Dominance-based Rough Set Approach (DRSA) adapted to deal with missing values. Analysis was performed on data set collected in Zachodniopomorskie district as a result of survey conduction.