Wyniki wyszukiwania - BazTech

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Complex Decision Systems and Conflicts Analysis Problem

Wakulicz-Deja A., Nowak-Brzezińska A., Przybyła-Kasperek M.

Fundamenta Informaticae

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2013

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Vol. 127, nr 1-4

341--356

EN

This paper discusses the issues related to the conflict analysis method and the rough set theory, process of global decision-making on the basis of knowledge which is stored in several local knowledge bases. The value of the rough set theory and conflict analysis applied in practical decision support systems with complex domain knowledge are expressed. The furthermore examples of decision support systems with complex domain knowledge are presented in this article. The paper proposes a new approach to the organizational structure of a multi-agent decision-making system, which operates on the basis of dispersed knowledge. In the presented system, the local knowledge bases will be combined into groups in a dynamic way. We will seek to designate groups of local bases on which the test object is classified to the decision classes in a similar manner. Then, a process of knowledge inconsistencies elimination will be implemented for created groups. Global decisions will be made using one of the methods for analysis of conflicts.

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Application of Reduction of the Set of Conditional Attributes in the Process of Global Decision-making

Przybyła-Kasperek M., Wakulicz-Deja A.

Fundamenta Informaticae

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2013

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Vol. 122, nr 4

327--355

EN

The paper includes a discussion of issues related to the process of global decision-making on the basis of information stored in several local knowledge bases. The local knowledge bases contain information on the same subject, but are defined on different sets of conditional attributes that are not necessarily disjoint. A decision-making system, which uses a number of knowledge bases, makes global decisions on the basis of a set of conditional attributes specified for all of the local knowledge bases used. The paper contains a description of a multi-agent decision-making system with a hierarchical structure. Additionally, it briefly overviews methods of inference that enable global decision-making in this system and that were proposed in our earlier works. The paper also describes the application of the conditional attributes reduction technique to local knowledge bases. Our main aim was to investigate the effect of attribute reduction on the efficiency of inference in such a system. For a measure of the efficiency of inference, we mean mainly an error rate of classification, for which a definition is given later in this paper. Therefore, our goal was to reduce the error rate of classification.

3

Application of the Method of Editing and Condensing in the Process of Global Decision-making

Wakulicz-Deja A., Przybyła-Kasperek M.

Fundamenta Informaticae

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2011

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Vol. 106, nr 1

93-117

EN

The paper presents the process of taking global decisions on the basis of the knowledge of local decision systems, in which sets of conditional attributes are different but not necessarily disjoint. We propose the organization of local decision systems into a multi-agent system with a hierarchical structure. The structure of multi-agent systems and the theoretical aspects of the organization of the system are presented. An editing and a condensing algorithm have been used in the process of global decision making. Also a density-based algorithm has been used in the process of taking global decisions to resolve conflicts. Furthermore, the paper presents the results of experiments conducted using some data sets from UCI repository.

4

Wybór miary podobieństwa a efektywność grupowania reguł w złożonych bazach wiedzy

Nowak-Brzezińska A., Wakulicz-Deja A.

Studia Informatica

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2010

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Vol. 31, nr 2A

189-201

PL

Praca przedstawia wyniki eksperymentów analizujących wpływ wybranej metryki podobieństwa na efektywność grupowania reguł w złożonych bazach wiedzy. Inna metryka podobieństwa to inna struktura skupień reguł, a co za tym idzie, inny przebieg procesów wnioskowania dla takich struktur.

EN

The paper presents the results of the experiments analyzing an influence choosed similarity measure on the efficiency of rules (from composited knowledge bases) clustering. In authors oppinion. Each time when we use different measure we achieving different structure of rules' clusters and the results of inference process.

5

Wieloagentowy system decyzyjny – porównanie metod

Wakulicz-Deja A., Przybyła-Kasperek M.

Studia Informatica

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2010

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Vol. 31, nr 2A

173-188

PL

Praca zawiera zagadnienia dotyczące procesu podejmowania decyzji globalnych na podstawie wiedzy zgromadzonej w kilku lokalnych bazach wiedzy. Lokalne bazy wiedzy zawierają informacje dotyczące tej samej dziedziny, ale określone są na różnych zbiorach atrybutów warunkowych, które nie muszą być rozłączne. System decyzyjny działający w oparciu o kilka baz wiedzy podejmuje decyzje globalne na podstawie zbioru przesłanek określonych dla atrybutów wszystkich wykorzystywanych baz wiedzy. Praca zawiera opis wieloagentowego systemu decyzyjnego o strukturze hierarchicznej oraz omówienie i porównanie proponowanych metod wnioskowania umożliwiających podejmowanie decyzji globalnych w tym systemie.

EN

The paper includes issues related to the process of taking global decisions on the basis of knowledge included in a few local knowledge bases. The knowledge bases contain information regarding the same subject, but are defined on different sets of conditional attributes, which are not necessarily disjoint. Decision system, which operates based on knowledge from a few knowledge bases, take global decisions on the basis on a set of conditions inflicted on the attributes of used knowledge bases. The paper contains a description of multi-agent decision system with a hierarchical structure. The paper also contains a discussion and comparison of the proposed methods of inference enabling global decisions taking in this system.

6

Multi-Agent Decision Taking System

Wakulicz-Deja A., Przybyła-Kasperek M.

Fundamenta Informaticae

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2010

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Vol. 101, nr 1/2

121-141

EN

The paper presents the process of taking global decisions on the basis of the knowledge of local decision systems involving the mutually complementary observations of objects which can be mutually contradictory. The authors suggest the organization of local decision systems into a multiagent system with a hierarchical structure. The structure of multi-agent systems and the theoretical aspects of the organization of the system are presented. A density-based algorithm has been used in the process of taking global decisions. Furthermore the paper presents the results of experiments conducted using realistic data.

7

Medical diagnosis support by the application of associational cognitive maps

Froelich W., Wakulicz-Deja A.

Control and Cybernetics

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2010

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Vol. 39, no 2

439-456

EN

The objective of the presented research is to construct a model of a patient's health that is based on the idea of cognitive map, a graphical knowledge-representation tool. The application of the proposed model for medical diagnosis is the practical goal of the research. Initially, we provide a brief review of the related works on medical decision support systems and cognitive maps. Afterwards, we sketch the general idea of the conceptual approach to the representation of medical knowledge and provide a new formulation of the medical diagnosis problem. Then, we define our model based on associational cognitive maps and show how it can be applied to diagnosis support. Due to the relative ease of understanding of cognitive map, the model can be easily interpreted and used, thereby making medical knowledge widely available through computer consultation systems. The application example presented is based on a relatively simple, real medical case.

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Podejmowanie decyzji globalnej z zastosowaniem hierarchicznego systemu wieloagentowego oraz algorytmu mrówkowego

Wakulicz-Deja A., Przybyła-Kasperek M.

Studia Informatica

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2009

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Vol. 30, nr 2A

213-227

PL

Praca przedstawia opis procesu podejmowania globalnych decyzji na podstawie reguł decyzyjnych lokalnych systemów ekspertowych zawierających wzajemnie uzupełniające się obserwacje stanu obiektów, które mogą być również wzajemnie sprzeczne. W pracy zaprezentowano także wyniki eksperymentów przeprowadzonych na danych rzeczywistych.

EN

The paper presents the process of taking global decisions on the basis of decision rules of local expert systems involving mutually complementary observations of objects which can be mutually contradictory. Furthermore the paper presents the results of experiments conducted with the use of realistic data.

9

Hierarchiczny system wieloagentowy

Wakulicz-Deja A., Przybyła-Kasperek M.

Studia Informatica

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2007

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Vol. 28, nr 4

63-80

PL

Praca przedstawia opis procesu podejmowania globalnych decyzji na podstawie reguł decyzyjnych lokalnych systemów ekspertowych, zawierających wzajemnie uzupełniające się obserwacje stanu obiektów, które mogą być również wzajemnie sprzeczne. Zaproponowano organizacje lokalnych systemów ekspertowych w system wieloagentowy o strukturze hierarchicznej.

EN

The paper presents the process of taking global decisions on the basis of decision rules of local expert systems involving mutually complementary observations of objects which can be mutually contradictory. The author suggests organization of local expert systems into a multi-agent system with a hierarchical structure.

10

Optimization of Speech Recognition by Clustering of Phones

Nowak A., Wakulicz-Deja A., Bachliński S.

Fundamenta Informaticae

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2006

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Vol. 72, nr 1-3

283-293

EN

Optimization of the speech recognition process is aiming at achieving short time of classification (speech to text system), while preserving the content of speech signal description, and all necessary details of speech signal in considered application. The goal of parametrization of the human's speech is to eliminate of those physical features of speech signal, that do not bring any useful information (e.g., frequency of laryngeal tone, timbre of voice). The purpose of the parametrization of a speech signal is to minimize the volume of information that is to be analyzed. Our experiments suggest that using the cluster analysis method with agglomerative hierarchical technique is very helpful in finding relationships between speech phones. It lets us accelerate the process of speech recognition, simply because it is not necessary to analyze each phone separately and comparing it with an unclassified object. This principle has been carried to hidden Markov models. To organize those models we use the cluster analysis method with hierarchical techniques. Each model represents a single sequence of speech (probably the phone sequence). At the "top" of the structure we have models of phones in the most general context. When we go thru this structure to the bottom, there are models of phones in particular context. By the context we understand the juxtaposition the different phones.

11

Podstawy systemów ekspertowych. Zagadnienia implementacji

Wakulicz-Deja A.

Studia Informatica

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2005

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Vol. 26, nr 3

51-68

12

Applying Rough Set Theory to Multi Stage Medical Diagnosing

Wakulicz-Deja A., Paszek P.

Fundamenta Informaticae

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2003

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Vol. 54, nr 4

387-408

EN

The work contains an example of application of Rough Set Theory to decision making - diagnosing Mitochondrial Encephalomyopathies (MEM) for children. The resulting decision support system maximally limits the indications for invasive diagnostic methods (puncture, muscle and/or nerve specimens). Moreover, it shortens the time necessary for making diagnosis. The system has been developed on the basis of data obtained from the II Clinic Department of Pediatrics of the Silesian Academy of Medicine (further referred to as the Clinic of Pediatrics).