Global decision-making in multi-agent decision-making system with dynamically generated disjoint clusters

Przybyła–Kasperek, Małgorzata; Wakulicz-Deja, Alicja

doi:10.1016/j.asoc.2015.12.016

Cited by 25 publications

(6 citation statements)

References 15 publications

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“…In this paper, the quality of classification of a dispersed system with three different approaches to conflict analysis and four different methods of determining the strength of a coalition is examined. For this purpose, the train and test methodology was used, since it is suitable for dispersed data, as was explained in detail in Przybyła-Kasperek and Wakulicz-Deja (2016). For the Landsat Satellite data set validation, training, and test sets were used.…”

Section: Experimental Protocolmentioning

confidence: 99%

Coalitions’ Weights in a Dispersed System with Pawlak Conflict Model

Przybyła–Kasperek

2020

Group Decis Negot

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The article addresses the issues related to making decisions by an ensemble of classifiers. Classifiers are built based on local tables, the set of local tables is called a dispersed knowledge. The paper discusses a novel application of Pawlak analysis model to examine the relations between classifiers and to create coalitions of classifiers. Each coalition has access to some aggregated knowledge on the basis of which joint decisions are made. Various types of coalitions are formed-a strong coalitions consisting of a large number and significant classifiers, and a weak coalitions consisting of insignificant classifiers. The new contributions of the paper is a systematical investigation of the weights of coalitions that influence the final decision. Four different method of calculating the strength of the coalitions have been applied. Each of these methods consider another aspect of the structure of the coalitions. Generally, it has been experimentally confirmed that, for a method that correctly identifies the relations between base classifiers, the use of coalitions weights improves the quality of classification. More specifically, it has been statistically confirmed that the best results are generated by the weighting method that is based on the size of the coalitions and the method based on the unambiguous of the decisions.

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Section: Experimental Protocolmentioning

confidence: 99%

Coalitions’ Weights in a Dispersed System with Pawlak Conflict Model

Przybyła–Kasperek

2020

Group Decis Negot

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“…CONFLICT MODEL PROPOSED BY WAKULICZ-DEJA AND PRZYBYŁA-KASPEREK Around 2009, Wakulicz-Deja and Przybyła-Kasperek proposed conflict model, which is also an extension of the Pawlak model. This concept is described in the papers [26], [27], [28], [29], [30], [31], [40], [41], [42], [43]. Motivation to propose a new model was that, the authors wanted to use conflict model for making decisions based on dispersed knowledge that is stored in many local decision tables.…”

Section: Conflict Model Proposed By Skowron and Dejamentioning

confidence: 99%

“…The third approach was proposed in the papers [28], [30]. The main modification, compared to the first approach, was conducted within the process of creating a system's structure.…”

Section: Conflict Model Proposed By Skowron and Dejamentioning

confidence: 99%

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Pawlak's Conflict Model: Directions of Development

Wakulicz-Deja¹,

Przybyła–Kasperek²

2016

Annals of Computer Science and Information Systems

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“…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%

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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Global decision-making in multi-agent decision-making system with dynamically generated disjoint clusters

Cited by 25 publications

References 15 publications

Coalitions’ Weights in a Dispersed System with Pawlak Conflict Model

Coalitions’ Weights in a Dispersed System with Pawlak Conflict Model

Pawlak's Conflict Model: Directions of Development

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

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