Abstract
In order to comprehensively evaluate the employee satisfaction of mine occupational health and safety management system, an analytic method based on fuzzy analytic hierarchy process and 2-tuple linguistic model was established. Based on the establishment of 5 first-grade indicators and 20 second-grade ones, method of improved AHP and the time-ordered Weighted Averaging Operator (T-OWA) model is constructed. The results demonstrate that the employee satisfaction of the mine occupational health and safety management system is of the ‘general’ rank. The method including the evaluation of employee satisfaction and the quantitative analysis of language evaluation information ensures the authenticity of the language evaluation information.
Highlights
To a large extent, employee satisfaction determines the survival and development of enterprises, and it is the core idea of quality, environment, occupational health, and safety management systems
The improved analytic hierarchy process (AHP) method integrated with 2-tuple linguistic information is used to evaluate the employee satisfaction of mine occupational health and safety management system to provide a more scientific and accurate decision basis
Utilizing the mine as an example, this paper evaluates and analyzes the employee satisfactory of OHSAS through an analytic hierarchy process (AHP) method and a 2-tuple linguistic evaluation information
Summary
Employee satisfaction determines the survival and development of enterprises, and it is the core idea of quality, environment, occupational health, and safety management systems. The methods of aggregation of language information include transforming linguistic information into fuzzy numbers to calculate the fuzzy numbers [2,3], and adopting the linguistic method to calculate the subscript of the language phrase [4] These methods cannot match the results accurately to the initial language evaluation. The evaluation of employee satisfaction is a kind of subjective value judgment, which is fuzzy and uncertain During the evaluation, it is usually difficult for the participants to accurately determine the degree of satisfaction with precise numbers or language, and the acquired language information is usually not directly involved in mathematical calculating, resulting in a loss of information and accuracy [5]
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