An indirect tire identification method based on a two-layered fuzzy scheme

Abstract

Abstract. While the heights and numbers of tires in the assembly line are changing, the traditional methods are difficult to identify the types of the tires, so an indirect tire identification method is proposed to identify the types of the tires, which uses the widths of the tires, the diameters and the shapes of the hubs to classify the tires. First, the tires are identified according to the widths and diameters by using the fuzzy C-means clustering algorithm. Second, the shapes of the hubs are used to distinguish the tires with similar dimensions. Finally, a two-layered fuzzy scheme is designed to identify the tires. Experimental results show that the two-layered fuzzy scheme is more effective than the fuzzy C-means clustering algorithm. And the proposed indirect tire identification method can achieve an accuracy of above 99.9% in the assembly line of tires.

A hybrid fuzzy multi-criteria decision making model for green supplier selection

“…In traditional decision-making methods, ranking the alternatives were just based on decision maker's opinion with some crisp data, but in real case problems are vague and fuzzy environmental is needed to solve the problem [19][20][21]. This proposed model aims to help decision makers by using fuzzy AHP and Fuzzy TOPSIS for selecting suppliers.…”