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In this chapter, we extend the AHP and FAHP model collectively new approach based on CAHP using TCNs values for predictor estimation. The cubic analytic hierarchy (CAHP) process can be applied to more complicated complex problems where the decision-makers have multiple uncertainties such as determining preference values regarding the considered objects. A numerical example is performed in practical life to demonstrate the application of the (CAHP) process and show the advantages of the proposed new methodology for decision-making. The effectiveness and flexibility of the present method are established through a comparative analysis with the help of several existing methods.

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Cubic Analytic Hierarchy Process with Application in Decision-Making

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  • 发表日期：

    2025年

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  • Ismat Beg,
  • Muhammad Gulistan,
  • Muhammad Asif

摘要

In this chapter, we extend the AHP and FAHP model collectively new approach based on CAHP using TCNs values for predictor estimation. The cubic analytic hierarchy (CAHP) process can be applied to more complicated complex problems where the decision-makers have multiple uncertainties such as determining preference values regarding the considered objects. A numerical example is performed in practical life to demonstrate the application of the (CAHP) process and show the advantages of the proposed new methodology for decision-making. The effectiveness and flexibility of the present method are established through a comparative analysis with the help of several existing methods.