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Upgrading current multi-attribute decision-making with a 3-dimensional decision matrix for future-based decisions.

Shahryar Sorooshian1

  • 1University of Gothenburg, Gothenburg, Sweden.

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Summary
This summary is machine-generated.

This study addresses limitations in Multi-Attribute Decision-Making (MADM) by introducing a novel 3-dimensional decision matrix. This approach enhances decision-making by accounting for dynamic expert experience and improving future forecasting capabilities.

Keywords:
Decision matrixExpert panelMulti-criteria decisionProspective decision

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Area of Science:

  • Operations Research
  • Decision Analysis
  • Management Science

Background:

  • Existing Multi-Attribute Decision-Making (MADM) methods struggle with dynamic expert experience levels.
  • Forecasting future scenarios presents a significant challenge for conventional MADM techniques.

Purpose of the Study:

  • To identify and address critical shortcomings in current MADM approaches.
  • To propose a novel framework that overcomes the limitations of existing MADM techniques.

Main Methods:

  • Introduction of a 3-dimensional decision matrix.
  • Development of a new methodology to integrate dynamic factors into decision analysis.

Main Results:

  • The proposed 3D matrix effectively accommodates fluctuating expert experience.
  • Enhanced forecasting capabilities are demonstrated through the new decision-making framework.

Conclusions:

  • The 3-dimensional decision matrix offers a significant advancement over traditional MADM methods.
  • This innovative approach improves the robustness and accuracy of complex decision-making processes.