Workshop human factor reliability evaluation method based on SHEL and interval intuition fuzzy evaluation

Abstract

The invention relates to a digital workshop human factor reliability evaluation method based on SHEL and interval intuition fuzzy evaluation, and belongs to the field of intelligent manufacturing. Themethod comprises the following steps: establishing an evaluation group, and establishing an SHEL model of digital workshop human factor analysis; applying a weighting operator to obtain subjective and objective weight vector tables of risk factors; calculating an interval intuitionistic fuzzy risk evaluation data set of the digital workshop human factor failure mode; constructing a weight key interval intuitionistic fuzzy positive ideal and an interval intuitionistic fuzzy negative ideal of the digital workshop human factor failure mode; respectively calculating the distance between the interval intuitionistic fuzzy positive ideal and the interval negative ideal, and calculating the relative fitting progress of each failure mode and the interval intuitionistic fuzzy positive ideal; and assessing and evaluating the human factor reliability level of the digital workshop by combining the quantitative indexes of the human factor failure mode risks. According to the method, the capabilityof processing uncertain information of the intuitionistic fuzzy set is improved, the human error fault of the digital workshop can be evaluated more accurately, and the method has a good application prospect.

Description

technical field [0001] The invention relates to the field of intelligent manufacturing, in particular to a human factor reliability evaluation method of a digital workshop based on SHEL and interval intuitionistic fuzzy evaluation. Background technique [0002] With the development of computer and control technology, manufacturing workshops are gradually developing towards digitalization, and instruments and control systems have developed from analog control to digital control. The introduction of new technologies has changed the influencing factors such as information display methods, procedures, and personnel control. New human factor reliability problems in digital workshop. [0003] With the implementation of the national "Made in China 2025", intelligent manufacturing technology has received more and more attention from the state. A large number of digital workshops and digital systems for the manufacturing industry have been built and used. New manufacturing science an...

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Problems solved by technology

[0007] In the patent "CN106600077 A A Fuzzy TOPSIS Evaluation Method", the author fuzzes the expert's evaluation information through the fuzzy control method, and combines the weight of expert information contribution to calculate the Euler distance, and sorts the posting progress. This method The processing of expert information is too simple, and the hesitation of personnel in decision-making is not taken into account, resulting in inaccurate evaluation results

[0008] The method of intuitionistic fuzzy sets to realize multi-attribute decision-making has already been applied. In the patent "CN104812027A Network Selection Method for Multi-attribute Decision-Making Based on Intuitionistic Fuzzy Sets", the author uses the total deviation and the weight of each attribute, through the IFWA operator To calculate the optimal path of the network, the patent obtains the membership function through the trapezoidal fuzzy number set, which cannot take human subjective decision-making factors into account, which will affect the final evaluation result

In the patent "CN107015526 A Intelligent CNC system risk assessment method based on intuitionistic fuzzy multi-attribute decision-making", the risk assessment method of CNC machine tool system based on intuitionistic fuzzy is proposed. For the risk assessment of digital workshop, this assessment method has its defects and limitations. The evaluation value in the defined risk assessment is a definite intuitive fuzzy value, without considering the influence of hesitation on the accuracy of risk assessment, which is equivalent to converting an interval number into a definite number, which may cause the loss of important information

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