Evaluation of pilot comfort performance based on FPN method

doi:10.16265/j.cnki.issn1003-3033.2024.04.1206

Abstract

Abstract:

In order to improve the pilot's operational comfort, a combined evaluation method based on FPN and FRA was proposed. First, a multi-factor coupled FPN network topology was established for the uncertainty information of the influencing factors of operational comfort. Then, the optimal combination weights were determined by the game theoretic assignment method. An algorithm combining the inter-layer correlation to determine the critical importance, analytic hierarchy process and fuzzy reasoning was proposed to establish a FRA based on subjective and objective weights. The confidence and state matrices were solved by iterative solution of the library. Finally, combined with the scenario data of ship pilotage in Shanghai harbor, the operational comfort of pilots was evaluated through the application of FRA based on FPN. The results show that the environment and pilotage equipment are the key factors affecting the comfort of their operation. The comfort level of pilotage operation in winter and summer corresponds to "less comfortable", and "more comfortable" in May. The proposed method fully reflects the coupled nature of the factors influencing the comfort of the system.

Key words: fuzzy Petri nets (FPN), pilot operation, comfort evaluation, fuzzy reasoning algorithm (FRA), game theory combinatorial empowerment

CLC Number:

X913.4安全系统工程

HU Shenping, LIU Lingling, XI Yongtao, ZHANG Xinxin. Evaluation of pilot comfort performance based on FPN method[J]. China Safety Science Journal, 2024, 34(4): 67-76.

Figures/Tables 6

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