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Double Randomized Estimation of Russian Blue Chips Based on Imprecise Information. / Yudaeva, M.; Hovanov, N.; Kolesov, D.

International Joint Conference SOCO’14-CISIS’14-ICEUTE’14. Springer Nature, 2014. стр. 155-164.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции

Harvard

Yudaeva, M, Hovanov, N & Kolesov, D 2014, Double Randomized Estimation of Russian Blue Chips Based on Imprecise Information. в International Joint Conference SOCO’14-CISIS’14-ICEUTE’14. Springer Nature, стр. 155-164. <http://link.springer.com/book/10.1007/978-3-319-07995-0>

APA

Yudaeva, M., Hovanov, N., & Kolesov, D. (2014). Double Randomized Estimation of Russian Blue Chips Based on Imprecise Information. в International Joint Conference SOCO’14-CISIS’14-ICEUTE’14 (стр. 155-164). Springer Nature. http://link.springer.com/book/10.1007/978-3-319-07995-0

Vancouver

Yudaeva M, Hovanov N, Kolesov D. Double Randomized Estimation of Russian Blue Chips Based on Imprecise Information. в International Joint Conference SOCO’14-CISIS’14-ICEUTE’14. Springer Nature. 2014. стр. 155-164

Author

Yudaeva, M. ; Hovanov, N. ; Kolesov, D. / Double Randomized Estimation of Russian Blue Chips Based on Imprecise Information. International Joint Conference SOCO’14-CISIS’14-ICEUTE’14. Springer Nature, 2014. стр. 155-164

BibTeX

@inproceedings{4154590236ee45219582a3ac7c119a48,
title = "Double Randomized Estimation of Russian Blue Chips Based on Imprecise Information",
abstract = "A modification of well known Aggregated Indices Method (AIM) is developed for complex multi-attribute objects preference (quality) evaluation under deficiency of numerical information. The modification is based on so called ”double randomization” of weight coefficients, which are measuring the objects characteristics significance. The so modified AIM is named AIRM (Aggregated Indices Randomization Method). The AIRM may work with non-numeric (ordinal), and imprecise (interval) expert information. A case of Russian blue chips preference estimation under uncertainty demonstrates AIRMs applicability to investment portfolio formation.",
author = "M. Yudaeva and N. Hovanov and D Kolesov",
year = "2014",
language = "English",
isbn = "978-3-319-07994-3 (Print)",
pages = "155--164",
booktitle = "International Joint Conference SOCO{\textquoteright}14-CISIS{\textquoteright}14-ICEUTE{\textquoteright}14",
publisher = "Springer Nature",
address = "Germany",

}

RIS

TY - GEN

T1 - Double Randomized Estimation of Russian Blue Chips Based on Imprecise Information

AU - Yudaeva, M.

AU - Hovanov, N.

AU - Kolesov, D

PY - 2014

Y1 - 2014

N2 - A modification of well known Aggregated Indices Method (AIM) is developed for complex multi-attribute objects preference (quality) evaluation under deficiency of numerical information. The modification is based on so called ”double randomization” of weight coefficients, which are measuring the objects characteristics significance. The so modified AIM is named AIRM (Aggregated Indices Randomization Method). The AIRM may work with non-numeric (ordinal), and imprecise (interval) expert information. A case of Russian blue chips preference estimation under uncertainty demonstrates AIRMs applicability to investment portfolio formation.

AB - A modification of well known Aggregated Indices Method (AIM) is developed for complex multi-attribute objects preference (quality) evaluation under deficiency of numerical information. The modification is based on so called ”double randomization” of weight coefficients, which are measuring the objects characteristics significance. The so modified AIM is named AIRM (Aggregated Indices Randomization Method). The AIRM may work with non-numeric (ordinal), and imprecise (interval) expert information. A case of Russian blue chips preference estimation under uncertainty demonstrates AIRMs applicability to investment portfolio formation.

M3 - Conference contribution

SN - 978-3-319-07994-3 (Print)

SP - 155

EP - 164

BT - International Joint Conference SOCO’14-CISIS’14-ICEUTE’14

PB - Springer Nature

ER -

ID: 4692142