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Sensitivity analysis of a simple additive weight method

Author

Listed:
  • Edmundas Kazimieras Zavadskas
  • Zenonas Turskis
  • Titas Dejus
  • Milda Viteikiene

Abstract

The authors depict the optimal criterion linked to sensitivity analysis. The aim is however to show case to multi-attribute utility analysis. Therefore, the authors go out from Simple Additive Method (SAW), but come to normalisation by the use of ratios where test matrices are formed. It is concluded that only significant attributes relative to the other attributes have an impact on the results. The proposed model for determining method sensitivity to changes of separate parameters enables us to increase the reliability of the applied methods.

Suggested Citation

  • Edmundas Kazimieras Zavadskas & Zenonas Turskis & Titas Dejus & Milda Viteikiene, 2007. "Sensitivity analysis of a simple additive weight method," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 8(5/6), pages 555-574.
    • Handle: RePEc:ids:ijmdma:v:8:y:2007:i:5/6:p:555-574
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    Cited by:

    1. Catarina R. Matos & Júlio F. Carneiro & Patrícia Pereira da Silva & Carla O. Henriques, 2021. "A GIS-MCDA Approach Addressing Economic-Social-Environmental Concerns for Selecting the Most Suitable Compressed Air Energy Storage Reservoirs," Energies, MDPI, vol. 14(20), pages 1-22, October.
    2. Zhichao Li & Tianqu Shao, 2019. "An Improved Ecological Services Valuation Model in Land Use Project," IJERPH, MDPI, vol. 16(8), pages 1-17, April.
    3. Andrius Kučas & Boyan Kavalov & Carlo Lavalle, 2020. "Living Cost Gap in the European Union Member States," Sustainability, MDPI, vol. 12(21), pages 1-26, October.

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