Abstract The ergonomic level of cockpit display design can be improved by establishing an objective and effective method for evaluating the ergonomics of the cockpit display. Given the fuzz problem in ergonomic evaluation, a new intuitionistic fuzzy evaluation method is proposed based on the Intuitionistic Fuzzy Ordered Weighted Geometric Average (IFOWGA) operator and the possible degree function in this work. Firstly, the intuitionistic fuzzy evaluation matrix considering the hesitation degree of experts' determination is first constructed as the basis of intuitionistic fuzzy evaluation. Secondly, using the IFOWGA operator the intuitionistic fuzzy evaluation values are obtained through aggregating the evaluation matrix. And these values are ranked to get the level of ergonomic evaluation by possible degree ranking function. Finally, an evaluation example based on the cockpit display of a certain aircraft is given to verify the effectiveness of the proposed approach. Six alternatives of the evaluation result are obtained by the aggregation of the IFOWGA operator. Applied the possible degree function, the ergonomic evaluation grade of the aircraft cockpit display is the second level by ranking the alternative sand the variation of intuitionistic fuzzy value is already small when the number of experts is more than 16. It can be shown from the results that the ergonomic level of cockpit display can be objectively and scientifically evaluated by the proposed quantitative method, and it can provide a theoretical basis and practical methods for improving the ergonomic level of cockpit display design.

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[33] Zhou L., Tao Z., and Chen H., “Continuous Interval-Valued Intuitionistic Fuzzy Aggregation Operators and their Applications to Group Decision Making,” Applied Mathematical Modelling, vol. 38, no. 7-8, pp. 2190-2205, 2014. Hui Liu received the B.S. and the M.S. degrees in Communication and Information System from the University of Kongjun Engineering, China, in 1999 and 2003, and the Ph.D. degree in communication and information system from Kongjun Engineering University in 2006. He is also a Lecture in electronic engineering at information and engineering school for Nanchang Hangkong University, Nanchang, China. His research interestsare in the fields of avonics, intuitionistic fuzzy set theory and ergonomics evaluation. Chengli Sun received the B.S. degree in electronics engineering from Zhongbei University, Taiyuan, China, in 1999, and the Ph.D. degree in signal and information processing from Beijing University of Posts and Telecommunication, Beijing, China. He is currently a Professor with Information Technology School, Nanchang Hangkong University, China. His current research interests include biomedical image analysis, image processing, speech recognition, speech enhancement, and acoustic event detection. Jiliang Tu received the Master degree of systems engineering from Harbin University of Science and Technology in 2005, Heilongjiang, China and he completed his research Ph.D. of traffic Information Engineering & Control in Tongji University in 2013, China. He is currently working as an associate Professor (Senior Grade) at School of information and engineering, Nanchang Hangkong University, China. His research is focusing on system engineering theory and practice, equipment supportability theory.