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Combining the randomness and ambiguity of the cloud model in precise values and the characteristics of fast generation of third-order Fibonacci sequences. A pseudo-random sequence generator of chaotic system combining cloud model with generalized third-order Fibonacci is proposed. Firstly, the chaotic sequence generated by the quantum logistic chaotic system is used as the parameter of the generalized third-order Fibonacci function model to achieve the dynamic randomness of the parameters, then the cloud droplet group generated by the cloud generator is used as the variable of the generalized third-order Fibonacci function, and then the generalized third-order Fibonacci function is coupled with the Logistic map to obtain the generalized third-order Fibonacci chaotic system model. Based on this model, a pseudo-random sequence generator is designed. The experimental simulation analysis shows that the generator can generate chaotic pseudo-random sequences quickly and in parallel form, and has the characteristics of simple structure, strong pseudo-randomness, uniform distribution and low correlation. In each time the chaotic pseudo-random sequence generated has independent randomness, and the periodicity cannot be found, thus, the fundamental defects in the design of chaotic pseudo-random sequence generator are overcome. [ABSTRACT FROM AUTHOR]

In the production process of enterprises, there are many factors that affect unsafe behavior. Tolerance of ambiguity as a personality trait will also affect employees’ unsafe behavior. Reducing the occurrence of unsafe behavior of employees can guarantee the personal safety of employees. By studying the relevant literature, three categories of influencing factors and 12 sub-factors on tolerance of ambiguity are condensed. The analytic hierarchy process (AHP) and the decision-making test and evaluation laboratory (DEMATEL) are used to calculate the influence degree of each influencing factor of tolerance of ambiguity. The results show that the way of thinking, learning ability, observation ability, problem solving, avoidance uncertain situations, have deeper impact on employees’ fuzzy tolerance levels, the comprehensive influence of the way of thinking reaches 0.2788, so it is the main cause of fuzzy tolerance. Relevant departments can proceed from these five factors and actively to take measures to intervene in tolerance of ambiguity. [ABSTRACT FROM AUTHOR]