Evaluation of Equipment Maintenance Support Ability Based on Binary Semantics

Abstract

In order to effectively overcome the original evaluation method of subjectivity, the complexity of equipment maintenance, the uncertainty problem, based on the analysis of existing evaluation method, construct the evaluation index system of equipment maintenance support capability, illustrates the basic principle of two tuple, will evaluate the two tuple and capacity closely, given the equipment maintenance support capability two Yuan based on semantic evaluation method, and analyzes an example. Finally, we compare the two-tuple linguistic analysis with AHP and BP neural network. The results show that the method can objectively evaluate the equipment maintenance support ability and has certain reference value.