Computer-Aided Decision Support System for Disaster Prevention of Hillside Residents

This study endeavor focuses on developing a computer-aided decision support system for hillside residents to prevent the occurrence of hillside disaster. Living safety is an essential consideration for the hillside residents. Within this system, the checklist used by personnel or instrument monitoring is adapted for collecting hillside data. Applying fuzzy sets theory, the system analyzes the collected data, diagnoses the safety conditions of the slope, and reasons the type of failure. According to the safety condition of the slope, the possible causes of adverse conditions requiring attention can also be identified. Using this research, safety monitoring programs can not only fill gaps of design insufficiency, but also provide needed safeguards, detailing any adverse effects of hillside development. The primary features of the study are as follows: (1) identify the types of slope failure and items for safety checking, (2) recognize the checking items associated with the possible causes of failure and their relative weights, (3) develop a checking list for the hillside residents to collect the slope data by personnel or instruments, and (4) analyze the collected data and diagnose the failure types and its possible causes of the crisis situations. This system improves the safety of the hillside residents by providing a logic and systematic manner to analyze the collected data in a real time base. Predictions of any adverse conditions and appropriate actions can be taken to prevent the occurrences of hillside disaster. Furthermore, compared with the traditional methods, this system significantly improves computational efficiency and increases currently used data accuracy and consistency.