A Study of Applying Fuzzy Theory in Simulation-Based Education

Abstract

Among all aviation accidents in Taiwan’s general aviation industry from 1998 to 2016, human factors account for the most at 51.2%, including negligence of external obstacles, poor autopilot flight ability, poor resources management of the crew, inability to follow aviation regulations, lack of understanding of the landing area, not fully comprehending the operational functions and not alert to situations. Those factors have seriously affected flight safety. Resources management training for crew members may thus be the best measure to prevent human errors. Following the Evidence-Based Training (EBT) promoted by ICAO and International Air Transport Association (IATA), this study constructs the assessment indices of EBT for helicopter crews. After collecting the opinions of helicopter flight instructors of military and civil helicopter units, we apply the Fuzzy Delphi Method (FDM) for the preliminary assessment guidelines, use the Fuzzy Analytic Hierarchy Process (FAHP) to construct the hierarchy, and then calculate each criterion and each criterion weight.

Designing and Manufacturing of Automatic Robotic Lawn Mower

“…(1) Averaging fuzzy Zadeh [28] proposed that fuzzy is a tool to convert fuzzy concepts that cannot be clearly expressed into quantitative expression, especially in the fuzzy characteristics of human speech expression, which has a good effect. The fuzzy theory has been applied to the management of medication for chronic patients [29], quality assessment of UAV photography services [30], as a rice transplanter control system [31], for aviation accident prevention and management [32], and in urban environmental risk assessment [33], which has made brilliant achievements in practice and academic research.…”

Technology Forecasting Using Deep Learning Neural Network: Taking the Case of Robotics

“…Its process relies mainly on expert experience and domain knowledge for technology identification and forecasting [7], [8]. There is methodological technocratic dependence [9], and its objectivity, consistency, validity, and comprehensiveness are increasingly challenged [10]- [12]. Since quantitative analysis methods are continuously applied to technology forecasting [13], [14], existing studies have attempted to improve the reliability and validity of technology forecasting using paper and patent data [15].…”