Paper Info
Title
Comprehensive evaluation method for performance of unmanned robot applied to automotive test using fuzzy logic and evidence theory and FNN.
Abstract
•A new comprehensive evaluation method for performance of an URAT using fuzzy logic, evidence theory and FNN is presented.•Subjective evaluation results with various expressions are quantified using fuzzy logic.•Group decision making with quantified subjective evaluation results from various drivers is combined using evidence theory.•Objective evaluation indexes measured by instrument and corresponding combined subjective evaluation are trained by FNN.
Year
DOI
Venue
2018
10.1016/j.compind.2018.02.015
Computers in Industry
Keywords
Field
DocType
Unmanned robot,Automotive test,Performance evaluation,Fuzzy logic,Evidence theory,Fuzzy neural network
Expression (mathematics),Fuzzy logic,Control engineering,Engineering,Artificial neural network,Robot,Throttle,Automotive industry,Group decision-making,Repeatability
Journal
Volume
ISSN
Citations 
98
0166-3615
1
PageRank 
References 
Authors
0.35
9
2
Name
Order
Citations
PageRank
Gang Chen152.19
Wei-gong Zhang241.41