Gao Qi-sheng

Product design on the basis of fuzzy quality function deployment

Abstract In the implementation of quality function deployment (QFD), the determination of the target values of engineering characteristics is a complex decision process with multiple variables and multiple objectives that should trade off, and optimize all kinds of conflicts and constraints. A fuzzy linear programming model (FLP) is proposed. On the basis of the inherent fuzziness of QFD system, triangular fuzzy numbers are used to represent all the relationships and correlations, and then, the functional relationships between the customer needs and engineering characteristics and the functional correlations among the engineering characteristics are determined with the information in the house of quality (HoQ) fully used. The fuzzy linear programming (FLP) model aims to find the optimal target values of the engineering characteristics to maximize the customer satisfaction. Finally, the proposed method is illustrated by a numerical example.

Weighted evolving network with geographical constraints

Complex networks have established themselves as being particularly suitable and flexible for representing and modeling several complex natural and human-made systems. Inspired by studies on airline and shipping networks, we propose a transport network model that includes geographical attributes along with topological and weight properties. In this model we introduce the theory of cost in micro-economics, regard distance between vertices as a function of cost. In general, a long-range connection cost higher and happen to appear rarely based on this, in our model the topological growth and weight dynamics are both determined by geographical distance cost and capacity of dealing with traffic load in a given vertex. Then we analyze some attributes of this model, the results suggest that the interplay between weight dynamics and spatial constraints is a key ingredient in order to understand the underlying driving factor of real-world weighted networks.