The Algorithm for Decision-Making Supporting on the Selection of Processing Means for Big Arrays of Natural Language Data

Polshchykov, Kostiantyn; Lazarev, S. A.; Polshchykova, Olha; Igityan, E V

doi:10.1134/s1995080219110222

Lobachevskii J Math

2019

DOI: 10.1134/s1995080219110222

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The Algorithm for Decision-Making Supporting on the Selection of Processing Means for Big Arrays of Natural Language Data

Kostiantyn Polshchykov

S. A. Lazarev

Olha Polshchykova

et al.

Abstract: In this paper decision support algorithm for choosing the processing means of natural language big data arrays is proposed. In the process the algorithm uses the program for evaluating the effectiveness of text analyzers. This program is based on the operation of a fuzzy choice system, which serves to calculate the integral indicator of the text analyzer effectiveness. The quality and efficiency of getting answers to test questions are taken into account when evaluating the effectiveness of text analyzers.

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Cited by 6 publications

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“…The timeliness of communication depends on the delay time of the robot in the communication process. Since these characteristics are not specific numerical values, their assessment requires the use of fuzzy sets: in the first case, high and low correctness of communication; in the second, high and low speed of response in communication [6].…”

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confidence: 99%

Assessing the Efficiency of Robot Communication

et al. 2020

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confidence: 99%

Assessing the Efficiency of Robot Communication

et al. 2020

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The use of virtual reality and fuzzy neural network tools to identify the focus on achieving project results

Velikanova

Polshchykov

Likhosherstov

et al. 2021

J. Phys.: Conf. Ser.

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In the process of making a decision on the inclusion of an applicant in the project team, it is proposed to take into account his project results targeting (PRT). The article describes the conceptual basis for identifying people’s focus on achieving the results of significant projects based on the use of virtual reality tools and the capabilities of fuzzy inference systems. At the same time, to configure the parameters of the membership functions of the fuzzy inference system and the values of the individual inferences of the fuzzy rules, the use of a neural-fuzzy network is proposed. To get a training sample, the participants of the teams of implemented projects will need to pass a series of tests using virtual reality tools. According to the proposed concept, persons with high PRT will be primarily recommended for inclusion in the team of project performers.

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Neural network natural language processing tools for identifying personal priorities in the project performers selection in the field of smart agriculture

Polshchykov

Velikanova

Igityan

2022

IOP Conf. Ser.: Earth Environ. Sci.

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The project implementation effectiveness in creating digital smart agriculture systems depends on the correct selection of performers. Considering personal priorities makes it possible to increase the validity of decision-making regarding the employment of specific individuals for the implementation of IT projects in the agro-industrial sector. Personal priorities are internal, hidden characteristics that have an effect on the process of long-term joint work and interaction in various situations that arise in the team. The identification of the analyzed individual’s personal priorities is proposed to be reduced to solving the classification problem based on the analysis of person’s text Internet traces using neural network technologies of natural language processing. As a training sample, it is proposed to use a set of text document vectors and the corresponding marks of personal priority classes. In the process of identifying the personal priorities classes, it is required to create an appropriate text array based on parsing and processing of text messages published on the Internet by the analyzed person. Next, from the resulting text array, a text vector of the document must be formed, which then needs to be submitted to the input of the neural network. It is assumed that the mark of the analyzed individual’s personal priority class will be displayed in the output layer of neurons.

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The Algorithm for Decision-Making Supporting on the Selection of Processing Means for Big Arrays of Natural Language Data

Cited by 6 publications

References 4 publications

Assessing the Efficiency of Robot Communication

Assessing the Efficiency of Robot Communication

The use of virtual reality and fuzzy neural network tools to identify the focus on achieving project results

Neural network natural language processing tools for identifying personal priorities in the project performers selection in the field of smart agriculture

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