A decision-making method based on Linguistic Aggregation operators for coal mine safety evaluation

Abstract

In this paper, we propose a new multi-expert decision-making method based on induced OWA operators for coal mine safety evaluation. Aggregation operators are crucial to decision-makers when they make decisions. The Ordered Weighted Aggregation (OWA) is the most common operator to aggregate the arguments that are the exact numerical values. However, the decision-makers may have vague knowledge about the decision information, and can't estimate their decision information with exact numerical values. Later, some new families of OWA operators appeared, e.g., a Linguistic Ordered Weighted Geometric Averaging (LOWGA) operator and a Linguistic Hybrid Aggregation (LHA). Based on the induced operators, we propose the new method for coal mine safety evaluation. For this paper, the method is straightforward and has no loss of information, because we not only consider the weight of the factors affecting coal mine safety, but also take the ordered position of the factors in aggregation process and the weight of the experts.