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An Application of Fuzzy Analytic Hierarchy Process in Risk Evaluation Model
Geng Peng1, Lu Han2, Zeyan Liu3
1Business School, Jiangsu University of Technology, Changzhou, China.
Frontiers in Psychology
|October 11, 2021
Summary
This study introduces a risk assessment method for land exploration conflicts using fuzzy mathematics and the analytic hierarchy process (FAHP). The findings indicate a medium overall risk, highlighting feasibility and controllability as key areas for attention.
Area of Science:
- Environmental Science
- Social Science
- Risk Management
Background:
- Land exploration conflicts are significant social issues requiring effective resolution strategies.
- Risk assessment is a crucial tool for managing and mitigating land conflict problems.
- Existing methods often struggle with the inherent uncertainty and imprecision in conflict data.
Purpose of the Study:
- To develop and apply a robust risk assessment framework for land exploration conflicts.
- To address the challenges of uncertainty and imprecision in evaluating land conflict risks.
- To provide actionable insights for governmental land management and safety protocols.
Main Methods:
- Integration of fuzzy mathematics with the analytic hierarchy process (FAHP) for risk evaluation.
- Development of a comprehensive index system for assessing land conflict risks.
- Quantitative analysis of risk factors based on the established index system.
Main Results:
- The overall risk associated with land exploration conflicts was determined to be at a medium level.
- Specific attention is required for the feasibility and controllability risk indexes.
- The FAHP methodology proved effective in handling the complexities of land conflict risk assessment.
Conclusions:
- The application of FAHP offers a valid and effective approach to assessing land conflict risks.
- Findings support the establishment of enhanced governmental management systems for land exploration safety.
- This research contributes to more informed decision-making in mitigating land conflict impacts.
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