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Super Pairwise Comparison Matrix in the Multiple Dominant AHP with Hierarchical Criteria

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Intelligent Decision Technologies 2018 (KES-IDT 2018 2018)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 97))

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Abstract

We have proposed a super pairwise comparison matrix (SPCM) to express all pairwise comparisons in the evaluation process of the dominant analytic hierarchy process (D-AHP) or the multiple dominant AHP (MDAHP) as a single pairwise comparison matrix and have shown calculations of super pairwise comparison matrix in MDAHP with hierarchical criteria. This paper shows calculations of super pairwise comparison matrix in MDAHP with hierarchical criteria.

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References

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Author information

Authors and Affiliations

  1. School of Science and Engineering, Kokushikan University, Tokyo, Japan

    Takao Ohya

  2. Faculty of Urban Science, Meijo University, Gifu, Japan

    Eizo Kinoshita

Authors
  1. Takao Ohya
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  2. Eizo Kinoshita
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Corresponding author

Correspondence to Takao Ohya .

Editor information

Editors and Affiliations

  1. Gdynia Maritime University, Gdynia, Poland

    Ireneusz Czarnowski

  2. Bournemouth University, Poole, United Kingdom

    Robert J. Howlett

  3. Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, New South Wales, Australia

    Lakhmi C. Jain

  4. Griffith Sciences - Centres and Institutes, Griffith University, South Brisbane, Queensland, Australia

    Ljubo Vlacic

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Ohya, T., Kinoshita, E. (2019). Super Pairwise Comparison Matrix in the Multiple Dominant AHP with Hierarchical Criteria. In: Czarnowski, I., Howlett, R., Jain, L., Vlacic, L. (eds) Intelligent Decision Technologies 2018. KES-IDT 2018 2018. Smart Innovation, Systems and Technologies, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-319-92028-3_17

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