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Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16) pp 199–208Cite as

Multi-method Technology for Multi-attribute Expert Evaluation

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 451))

Abstract

The paper describes a new multi-method technology PAKS-M (Progressive Aggregation of the Classified Situations by many Methods) for multi-attribute expert evaluation of complex systems and processes. This technology provides reducing the dimension of the attribute space, constructing several hierarchical systems of composite criteria and an integral quality index, which aggregate initial attributes as well as the classification and/or ordering of multi-attribute objects using several decision making methods. The technology is based on knowledge of experts and/or preferences of decision maker. It significantly reduces the time and complexity of solution of multiple criteria tasks, and allows analyzing and explaining the results.

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Acknowledgments

This work was supported by the Research Program of the Russian Academy of Sciences “Intelligent Information Technologies and Systems”; the Russian Foundation for Basic Research (projects 14-07-00916, 14-29-05,025, 15-07-04760, 16-07-01125).

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Authors and Affiliations

  1. Institute for Systems Analysis, Federal Research Center Informatics and Control, Russian Academy of Sciences, Prospect 60 Let Octyabrya, 9, Moscow, 117312, Russia

    Alexey B. Petrovsky

Authors
  1. Alexey B. Petrovsky
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Correspondence to Alexey B. Petrovsky .

Editor information

Editors and Affiliations

  1. Sci N/w for Innova and Research Exc, Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  2. Rostov State Transport University, Rostov-on-Don, Russia

    Sergey Kovalev

  3. Bauman Moscow State Technical University, Moscow, Russia

    Valery Tarassov

  4. Institute of Mathematics, VŠB-Technical University of Ostrava, Ostrava, Czech Republic

    Václav Snášel

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Petrovsky, A.B. (2016). Multi-method Technology for Multi-attribute Expert Evaluation. In: Abraham, A., Kovalev, S., Tarassov, V., Snášel, V. (eds) Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16). Advances in Intelligent Systems and Computing, vol 451. Springer, Cham. https://doi.org/10.1007/978-3-319-33816-3_20

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  • DOI: https://doi.org/10.1007/978-3-319-33816-3_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33815-6

  • Online ISBN: 978-3-319-33816-3

  • eBook Packages: EngineeringEngineering (R0)

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