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An Efficient Soft Set-Based Approach for Conflict Analysis.

Edi Sutoyo1, Mungad Mungad1, Suraya Hamid1

  • 1Department of Information Systems, University of Malaya, Pantai Valley, Kuala Lumpur, Malaysia.

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Summary
This summary is machine-generated.

This study introduces a novel soft set theory approach for conflict analysis, offering reduced computational time compared to traditional rough set theory methods. This method enhances efficiency in analyzing complex disputes and political data.

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Area of Science:

  • Decision Sciences
  • Computational Intelligence
  • Political Science

Background:

  • Conflict analysis is crucial across various domains, including economics, business, and politics.
  • Rough set theory is a popular mathematical model for handling vague conflict data.
  • Existing rough set theory methods face computational time challenges in conflict analysis.

Purpose of the Study:

  • To present an alternative computational approach for conflict analysis using soft set theory.
  • To address the computational time limitations of rough set theory in conflict analysis.
  • To introduce a novel method based on the co-occurrence of parameters within soft set theory.

Main Methods:

  • Utilized soft set theory concepts, focusing on parameter co-occurrence.
  • Applied the proposed approach to a tutorial voting analysis example.
  • Validated the method on a real-world political conflict dataset from the Indonesian Parliament.

Main Results:

  • The proposed soft set theory approach demonstrated lower computational time compared to rough set theory.
  • Achieved up to 3.9% reduction in computational time.
  • Effectively analyzed conflict situations using a novel parameter co-occurrence concept.

Conclusions:

  • Soft set theory offers a computationally efficient alternative for conflict analysis.
  • The co-occurrence of parameters in soft sets provides a viable mechanism for conflict modeling.
  • This approach shows promise for analyzing complex political and social conflicts.