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Related Experiment Video

Updated: Oct 28, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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Improved DEMATEL-ISM integration approach for complex systems.

Jih-Kuang Chen1

  • 1Economics and Management College, Zhaoqing University, Zhaoqing, China.

Plos One
|July 16, 2021
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Summary

This study introduces an improved Decision Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) integration method. The enhanced approach ensures accurate analysis of complex systems by refining threshold determination and transitivity checks.

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Area of Science:

  • Systems Science
  • Decision Analysis
  • Social Science Research Methods

Background:

  • Decision Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) are established methods for analyzing complex systems.
  • These methods are often used independently, limiting their combined potential for identifying causal relationships and hierarchical structures.
  • Existing integrated DEMATEL-ISM approaches have limitations that necessitate improvement.

Purpose of the Study:

  • To develop and validate an improved DEMATEL-ISM integration approach.
  • To address the disadvantages and irrationalities found in traditional DEMATEL-ISM integration methods.
  • To enhance the accuracy and reliability of causal relationship and hierarchical structure analysis in complex systems.

Main Methods:

  • The proposed approach integrates DEMATEL and ISM with two key enhancements: threshold determination using the maximum mean de-entropy (MMDE) method and an additional transitivity check process.
  • A case study analyzing the factors influencing China's rural-urban floating population's willingness to participate in social insurance was employed.
  • The improved integration method was compared against the traditional DEMATEL-ISM integration method.

Main Results:

  • The improved DEMATEL-ISM integration approach revealed distinct hierarchical factor structures and influence relationships compared to the traditional method.
  • The traditional integration approach exhibited irrationalities in its findings, which were absent in the results from the improved approach.
  • The case study demonstrated the feasibility and effectiveness of the proposed enhanced integration method.

Conclusions:

  • Proper threshold determination and reachability matrix transitivity checking are crucial for sound DEMATEL-ISM integration.
  • The improved DEMATEL-ISM approach, incorporating MMDE-based thresholding and transitivity checks, provides accurate analysis with a low computational burden.
  • This enhanced methodology offers a more reliable tool for understanding complex systems and their interdependencies.