Expert Assignment of Fuzzy Strict Orders

 
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Abstract

The paper presents a method for interviewing experts for the case of aggregating fuzzy preferences specified through pairwise comparison of alternatives. The possibility of reducing the number of questions asked to experts during a interviewing is shown. Using an example, we analyze the use of a fuzzy transitive closure for a binary relation being created by an expert during a interviewing, and due to this, reducing the number of comparisons.

General Information

Keywords: group choice, expert, binary relation, interviewing, strict order, transitive relation

Journal rubric: Data Analysis

OpenAlex citations: 0

OpenAlex trends: Multi-Criteria Decision Making, Data Management and Algorithms, Multi-Agent Systems and Negotiation

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Number of citations: 0

Topics

Multi-Criteria Decision Making

This cluster of papers focuses on the application and development of Multi-Criteria Decision Making (MCDM) methods, including Analytic Hierarchy Process (AHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and various fuzzy set theories. The papers cover topics such as group decision making, supplier selection, environmental decision making, and the use of Geographic Information Systems (GIS) in decision analysis.

Number of works: 95217  |  Total number of citations: 2310123

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Data Management and Algorithms

This cluster of papers focuses on the mining, analysis, and querying of GPS trajectories and moving object data. It covers topics such as trajectory clustering, skyline computation, similarity search, top-k query processing, probabilistic databases, location prediction, and semantic trajectory modeling.

Number of works: 95102  |  Total number of citations: 1139252

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Multi-Agent Systems and Negotiation

This cluster of papers focuses on methods and techniques for agent-based modeling, encompassing topics such as multi-agent systems, argumentation frameworks, software engineering, simulation, negotiation, artificial intelligence, dialectical argumentation, formal methods, and social simulation.

Number of works: 60395  |  Total number of citations: 570788

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Work details in OpenAlex

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2024140204

Received 13.05.2024

Accepted

Published

For citation: Smerchinskaya, S.O., Yamanaeva, R.R. (2024). Expert Assignment of Fuzzy Strict Orders. Modelling and Data Analysis, 14(2), 62–79. (In Russ.). https://doi.org/10.17759/mda.2024140204

© Smerchinskaya S.O., Yamanaeva R.R., 2024

License: CC BY-NC 4.0

References

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Information About the Authors

Svetlana O. Smerchinskaya, Candidate of Science (Physics and Matematics), Associate Professor, Department of Mathematical Cybernetics, Institute of Computer Science and Applied Mathematics, Moscow Aviation Institute (National Research University) (MAI), Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-0614-1835, e-mail: svetlana_os@mail.ru

Rimma R. Yamanaeva, Student, Institute of Computer Science and Applied Mathematics, Moscow Aviation Institute (National Research University) (MAI), Moscow, Russian Federation, ORCID: https://orcid.org/0009-0000-2874-1466, e-mail: m.e.dragon@mail.ru

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