Risk Evaluation of Strategic Emerging Industries’ Technical Standards Alliances: The Ecosystem Perspective

This paper conducts a risk assessment of strategic emerging industries’ technical standards alliances. First, we study the ecological properties and operational cycles of technical standards alliances based on the ecological system. Following the rule by which identification precedes assessment, we apply factor analysis to identify the key risk factors in the ecological system of such alliances. We then construct a fuzzy synthetic assessment model and conduct an empirical analysis on the energy saving and environmental protection industries in China. Taking the unique research perspective of the ecological system and using interdisciplinary research methods, this study establishes itself as a theoretical model to be used as a guideline in practice. The result is expected to provide a useful reference for furthering technological innovation in China’s strategic emerging industries.

A Comprehensive Reliability Allocation Method of Feed Mixers Based on Fuzzy Synthetic Assessment

To solve the problem that there are many factors influencing the reliability allocation of feed mixers, and some of which are difficult to analyze quantitatively, a comprehensive reliability allocation method is researched using triangular fuzzy number, fuzzy synthetic assessment and analytic hierarchy process. In this paper, a reliability allocation model is proposed for feed mixers, which considered several influence factors, and used triangular fuzzy number instead of real number to express uncertain information. It could make use of the reliability test information and experts’ experience comprehensively. Finally, the application of this method is illustrated with an example, and the result showed that the allocation method is feasible and effective for the reliability allocation of feed mixers.