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D-S Evidence Theory-based Dynamic Adjustment Method of #br#  Automation Level for Pilot Assistance System

  

  1. School of Electronics and Information, Northwestern Polytechincal University, Xi’an 710129, China
  • Received:2013-09-10 Online:2014-01-20 Published:2014-02-10

Abstract:

In a complex human-machine system such as aircraft cockpit, dynamic relationship of human and assistance system collaboration enhances the harmony between human and machine, and increases the whole system performance. In
order to achieve dynamic adjustment strategy of needing to synthesize a variety of decision-making information, D-S evidence theory-based dynamic adjustment method of automation level for pilot assistance system is proposed. This method
firstly utilizes fuzzy membership function to determine basic probability assignment, and then uses similarity coefficient-based combination rule to synthesize various evidences. Examples show that the method is effective and reliable.

Key words: pilot assistance system, dynamic adjustment, D-S evidence theory, fuzzy membership function, similarity coefficient