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Homogeneous Decision Community Extraction Based on End-User Mental Behavior on Social Media.

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Summary

This study introduces an interval binary semantic decision-making method incorporating psychological behavior and a novel distance formula. It enhances group decision-making accuracy, particularly for supply chain partner selection.

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Area of Science:

  • Decision Sciences
  • Artificial Intelligence
  • Supply Chain Management

Background:

  • Current group decision-making methods struggle with interval linguistic information.
  • Decision-maker psychology and cognitive biases impact decision accuracy.
  • Accurate analysis of complex data, like images, is crucial for advanced decision support.

Purpose of the Study:

  • To propose an interval binary semantic decision-making method that accounts for psychological behavior.
  • To enhance the accuracy of group decision-making using interval linguistic information.
  • To validate the method's effectiveness in selecting supply chain partners.

Main Methods:

  • Utilizing a localized amplification method to improve CNN-based image analysis.
  • Developing a new distance formula for interval binary semantics aligned with human cognition.
  • Introducing a time degree and an optimization model for expert evaluation consistency.
  • Applying the TODIM (Interactive Multiple Attribute Decision Making) method with prospect theory for scheme ranking.

Main Results:

  • The proposed method demonstrates improved accuracy in decision-making tasks.
  • The new distance measure better reflects decision-makers' thinking habits.
  • The localized amplification method enhances CNN identification accuracy.
  • The method effectively ranks schemes, validated through supply chain partner selection.

Conclusions:

  • The interval binary semantic decision-making method offers a more psychologically plausible approach.
  • The integration of AI and decision science enhances complex evaluation processes.
  • The method provides a rational and effective tool for group decision-making in practical applications.