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Analytic Hierarchy Process with the Correlation Effect via WordNet

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  • Jih-Jeng Huang

    (Department of Computer Science & Information Management, SooChow University, Taipei 100, Taiwan)

Abstract

The analytic hierarchy process (AHP) is a well-known approach in decision-making because of its simplicity and rationality. However, in conventional AHP, it cannot account for the correlation effect between criteria. In this paper, we use the lexical database, WordNet, to calculate the similarity between criteria set by a decision-maker. Then, we use the similarity matrix to process the factor analysis and obtain the independent factors, which are composed of their criteria. Finally, the weights of factors are derived to evaluate the alternatives. Moreover, we use a case study of online shopping to illustrate the proposed method and compare the result with the conventional AHP.

Suggested Citation

  • Jih-Jeng Huang, 2021. "Analytic Hierarchy Process with the Correlation Effect via WordNet," Mathematics, MDPI, vol. 9(8), pages 1-13, April.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:8:p:872-:d:536770
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    References listed on IDEAS

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    1. Hsiang-Hsi Liu & Yeong-Yuh Yeh & Jih-Jeng Huang, 2014. "Correlated Analytic Hierarchy Process," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-7, August.
    2. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    3. Michele Bernasconi & Christine Choirat & Raffaello Seri, 2010. "The Analytic Hierarchy Process and the Theory of Measurement," Management Science, INFORMS, vol. 56(4), pages 699-711, April.
    4. P Ji & R Jiang, 2003. "Scale transitivity in the AHP," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(8), pages 896-905, August.
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    Cited by:

    1. Marcos Antonio Alves & Ivan Reinaldo Meneghini & António Gaspar-Cunha & Frederico Gadelha Guimarães, 2023. "Machine Learning-Driven Approach for Large Scale Decision Making with the Analytic Hierarchy Process," Mathematics, MDPI, vol. 11(3), pages 1-18, January.

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