A dispersed decision-making system – The use of negotiations during the dynamic generation of a system’s structure

Przybyła–Kasperek, Małgorzata; Wakulicz-Deja, Alicja

doi:10.1016/j.ins.2014.07.032

Cited by 31 publications

(9 citation statements)

References 20 publications

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“…In the article [10] a dispersed decision-making system was proposed by the author. This system is also used in the paper.…”

Section: Overviewmentioning

confidence: 99%

“…A detailed discussion is omitted because it is not the goal of this article. A detailed description of the system can be found in the paper [10].…”

Section: Overviewmentioning

confidence: 99%

“…It is realized in a two step process with the negotiation stage. For more details, please refer to the paper [10]. For each cluster that contains at least two resource agents, a superordinate agent is defined, which is called a synthesis agent, as j , where j is the number of cluster.…”

Section: Overviewmentioning

confidence: 99%

“…An important problem that occurs is to eliminate inconsistencies in the knowledge stored in different knowledge bases. In previous papers the approximated method of the aggregation of decision tables have been used to eliminate inconsistencies in the knowledge [9], [10]. In this paper, we also use this method.…”

Section: Overviewmentioning

confidence: 99%

“…The use of dispersed knowledge was investigated by the author in the earlier papers [9], [10], [12], [13], [14]. In the paper [10] a dispersed decision-making system with dynamic structure was proposed.…”

Section: Introductionmentioning

confidence: 99%

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Dispersed decision-making system with selected fusion methods from the measurement level - case study with medical data

Przybyła–Kasperek

2016

Annals of Computer Science and Information Systems

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Abstract-In the paper issues related to the use of dispersed knowledge in medicine are discussed. The main aim of the article is to investigate the efficiency of inference of seven selected fusion methods in a dispersed decision-making system. The dispersed system was proposed by the author in previous papers. The examined fusion methods -the maximum rule, the minimum rule, the median rule, the sum rule, the probabilistic product method, the method that is based on the theory of evidence and the method that is based on decision templates -are well known from the literature. In the paper two medical data sets from the UCI repository were used. Based on the obtained results it was concluded that for one data set the maximum rule generates the best results, and for other data set better methods are the sum rule and the median rule.

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“…In the article [10] a dispersed decision-making system was proposed by the author. This system is also used in the paper.…”

Section: Overviewmentioning

confidence: 99%

“…A detailed discussion is omitted because it is not the goal of this article. A detailed description of the system can be found in the paper [10].…”

Section: Overviewmentioning

confidence: 99%

Section: Overviewmentioning

confidence: 99%

Section: Overviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dispersed decision-making system with selected fusion methods from the measurement level - case study with medical data

Przybyła–Kasperek

2016

Annals of Computer Science and Information Systems

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Selected Approaches to Conflict Analysis Inspired by the Pawlak Model – Case Study

Przybyła-Kasperek,

Deja,

Wakulicz-Deja

2023

Lecture Notes in Computer Science

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Application of the Shapley-Shubik Power Index in the Process of Decision Making on the Basis of Dispersed Medical Data

Przybyła–Kasperek

2015

Beyond Databases, Architectures and Structures

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Abstract. The paper considers the issues that are related to the process of decision-making that is based on dispersed knowledge. In previous papers the author proposed a dispersed decision support system with a dynamic structure, which is the approach that is used. The novelty, that is analyzed in this paper is the application of a power index in this system. Together with the Shapley-Shubik index, a simple method of determining local decisions has been applied. The purpose of this was to reduce the computational complexity in comparison with the approach that was proposed in the earlier papers. In experiments the situation is considered in which medical data from one domain are collected in many medical centers. We want to use all of the collected data at the same time in order to make a global decisions.

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A dispersed decision-making system – The use of negotiations during the dynamic generation of a system’s structure

Cited by 31 publications

References 20 publications

Dispersed decision-making system with selected fusion methods from the measurement level - case study with medical data

Dispersed decision-making system with selected fusion methods from the measurement level - case study with medical data

Selected Approaches to Conflict Analysis Inspired by the Pawlak Model – Case Study

Application of the Shapley-Shubik Power Index in the Process of Decision Making on the Basis of Dispersed Medical Data

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