Kemeny and Borda rules in constructing central tendency estimators based on the preferential median; Artificial Intelligence and Signal Processing (AISP)

Λεπτομέρειες βιβλιογραφικής εγγραφής
Parent link:Artificial Intelligence and Signal Processing (AISP).— 2025.— 5 p.
Άλλοι συγγραφείς: Muravyov (Murav’ev) S. V. Sergey Vasilyevich, Khudonogova L. I. Ludmila Igorevna, Shabramov V. S Vladislav Sergeevich, Ignatyev V. D. Vadim, Andreyev D. I. Denis
Περίληψη:Title screen
The article analyzes the properties of the Kemeny and Borda aggregation rules used in the method of interval fusion with preference aggregation (IF&PA) for calculating the preferential median as an estimate of the central tendency. The results of computational experiments show that the values of the preferential median found by the corresponding versions of IF&PA-Kemeny and IF&PA-Borda absolutely coincide regardless of the number of intervals m and the number of discrete values n, as well as the type of the distribution law of the initial intervals. This fact allows to use the Borda rule in the IF&PA method instead of the Kemeny rule, calculating the preferential median in polynomial time, which opens up broad prospects for its various applications, including regression analysis
Текстовый файл
AM_Agreement
Γλώσσα:Αγγλικά
Έκδοση: 2025
Θέματα:
Διαθέσιμο Online:https://doi.org/10.1109/AISP68263.2025.11396113
Μορφή: Ηλεκτρονική πηγή Κεφάλαιο βιβλίου
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=686837

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330 |a The article analyzes the properties of the Kemeny and Borda aggregation rules used in the method of interval fusion with preference aggregation (IF&PA) for calculating the preferential median as an estimate of the central tendency. The results of computational experiments show that the values of the preferential median found by the corresponding versions of IF&PA-Kemeny and IF&PA-Borda absolutely coincide regardless of the number of intervals m and the number of discrete values n, as well as the type of the distribution law of the initial intervals. This fact allows to use the Borda rule in the IF&PA method instead of the Kemeny rule, calculating the preferential median in polynomial time, which opens up broad prospects for its various applications, including regression analysis 
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463 1 |t Artificial Intelligence and Signal Processing (AISP)  |o 5th International Conference, VIT-AP University, Amaravati, Vijayawada, India, November 22-24, 2025  |c Piscataway  |n IEEE  |v 5 p.  |d 2025 
610 1 |a central tendency estimator 
610 1 |a Kemeny rule, Borda rule 
610 1 |a preferential median 
610 1 |a interval fusion with preference aggregation 
610 1 |a regression analysis 
610 1 |a электронный ресурс 
610 1 |a труды учёных ТПУ 
701 1 |a Muravyov (Murav’ev)  |b S. V.  |c specialist in the field of control and measurement equipment  |c Professor of Tomsk Polytechnic University,Doctor of technical sciences  |f 1954-  |g Sergey Vasilyevich  |9 15440 
701 1 |a Khudonogova  |b L. I.  |c specialist in the field of informatics and computer technology  |c Associate Professor of Tomsk Polytechnic University, Candidate of Technical Sciences  |f 1989-  |g Ludmila Igorevna  |9 16741 
701 1 |a Shabramov  |b V. S  |c specialist in the field of informatics and computer technology  |c programmer of Tomsk Polytechnic University  |f 1999-  |g Vladislav Sergeevich  |9 89302 
701 1 |a Ignatyev  |b V. D.  |g Vadim 
701 1 |a Andreyev  |b D. I.  |g Denis 
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