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Papers on the method and its applications

How to cite

If you use the method, the calculator or the code, please cite the paper describing the method:

Muravyov S.V., Khudonogova L.I., Emelyanova E.Yu. Interval data fusion with preference aggregation. Measurement, 2018, 116, 621–630. doi:10.1016/j.measurement.2017.08.045

@article{muravyov2018ifpa,
  author  = {Muravyov, S. V. and Khudonogova, L. I. and Emelyanova, E. Yu.},
  title   = {Interval data fusion with preference aggregation},
  journal = {Measurement},
  year    = {2018},
  volume  = {116},
  pages   = {621--630},
  doi     = {10.1016/j.measurement.2017.08.045}
}

If the calculations were done on this site, you may also cite it:

IF&PA: interval data fusion method. Online resource: (accessed DD Month YYYY).

The method

Ordinal measurement, preference aggregation and interlaboratory comparisons
Muravyov S.V. Measurement, 2013, 46(8), 2927–2935.
Ordinal measurement, preference aggregation and the RECURSALL algorithm for the Kemeny rule.
Dealing with chaotic results of Kemeny ranking determination
Muravyov S.V. Measurement, 2014, 51, 328–334.
Interval data fusion with preference aggregation
Muravyov S.V., Khudonogova L.I., Emelyanova E.Yu. Measurement, 2018, 116, 621–630.
DOI: 10.1016/j.measurement.2017.08.045
The IF&PA method: the preferential median of a set of intervals via aggregation of induced rankings.
Kemeny and Borda rules in constructing central tendency estimators based on the preferential median
Muravyov S.V., Khudonogova L.I., Shabramov V.S., Ignatyev V.D., Andreyev D.I. Proc. 5th IEEE International Conference on Artificial Intelligence and Signal Processing (AISP'25), Vijayawada, India, 2025.
DOI: 10.1109/AISP68263.2025.11396113
Kemeny rule for preference aggregation: reducing all exact solutions to a single one
Muravyov S.V., Emelyanova E.Yu. Measurement, 2021, 182, 109403.
Comparative studies of preferential and weighted medians accuracy in robust estimation of central tendency
Muravyov S.V., Khudonogova L.I., Shabramov V.S., Ignatyev V.D. International Journal of Data Science and Analytics, 2026, 22(1).
DOI: 10.1007/s41060-026-01222-6
Analysis of heteroscedastic measurement data by the self-refining method of interval fusion with preference aggregation — IF&PA
Muravyov S.V., Khudonogova L.I., Ho M.D. Measurement, 2021, 183, 109851.
DOI: 10.1016/j.measurement.2021.109851

Applications

Adjustment of fundamental physical constant values using the interval fusion with preference aggregation
Muravyov S.V., Khudonogova L.I., Ho M.D. Measurement, 2020, 163, 108037.
DOI: 10.1016/j.measurement.2020.108037
Adjustment of the Planck constant from CODATA data.
Processing of interlaboratory comparison data by preference aggregation method
Muravyov S.V., Marinushkina I.A. Measurement Techniques, 2016, 58(12), 1285–1291.
DOI: 10.1007/s11018-016-0886-4
Consensus rankings in prioritized converge-cast scheme for wireless sensor network
Muravyov S.V., Tao Sh., Chan M.Ch., Tarakanov E.V. Ad Hoc Networks, 2015, 24(A), 160–171.
Automatic segmentation by the method of interval fusion with preference aggregation when recognizing weld defects
Muravyov S.V., Nguyen D.C. Russian Journal of Nondestructive Testing, 2023, 59(12), 1280–1290.
Robust determination of performance loss rate for photovoltaic systems
Muravyov S., Khudonogova L., Pak A. IEEE Sensors Letters, 2024, 8(9), 7004504.
DOI: 10.1109/LSENS.2024.3441854
Robust estimation of solar panel degradation rate.
Interval data fusion with preference aggregation for balancing measurement accuracy and energy consumption in WSN
Khudonogova L.I., Muravyov S.V. Wireless Personal Communications, 2021, 118, 2399–2421.
Wireless sensor networks: measurement accuracy versus energy consumption.
DOI: 10.1007/s11277-021-08132-9
Method of interval fusion with preference aggregation in brightness thresholds selection for automatic weld surface defects recognition
Muravyov S.V., Nguyen D.C. Measurement, 2024, 236, 114969.
Brightness threshold selection for automatic recognition of weld defects.
DOI: 10.1016/j.measurement.2024.114969
Weld defects automatic visual recognition by combined application of Canny edge detector and IF&PA
Muravyov S.V., Nguyen D.C. Proc. International Conference on Communication Technology (ICCT), 2022.
DOI: 10.1109/ICCT56057.2022.9976559

In preparation

Robust estimation of seasonal labour-intensity norms from a contaminated production history and their transfer to resource-constrained scheduling of linear construction
Andreyev D.I., Muravyov S.V.
Application of IF&PA to labour-intensity norms in construction.

In total: 35 papers in journals indexed in Scopus and WoS (22 of them Q1–Q2) and 38 papers in proceedings of international conferences. Full texts are on ResearchGate.

Know a work that applies IF&PA but is missing here? Let us know.