An entropy-weighted fuzzy comprehensive evaluation approach was presented for entrepreneurial market opportunity identification,which can avoid the defects in the aspect of determining weight of ordinary fuzzy comprehensive evaluation to some degree.

Since the algorithm of airport recognition based on contextual information has a high rate of false alarm,a new method to reduce false alarm is presented.

This paper deals with the airport recognition from optical remote sensing images under the framework of feature level information fusion by using BP neural network.

Airport recognition has always received much attention.

The article explored the impacts of entrepreneurial features on opportunity recognition,in terms of three facets,including cognitive schema(entrepreneurial alertness),cognitive basis(prior knowledge),and cognitive style(innovative cognition styles).

The paper aims to analyze the role of organization learning(behavioral learning, cognitive learning, action learning)in the opportunity recognition process.

This paper proposed three hypotheses concentrated on three features of opportunity recognition:(1)key chunks,(2)rapid perception available,(3)experienced pattern for reference.

Based on a review of previous literature, this paper explores the process of entrepreneurial opportunity identification and puts forward a framework of entrepreneurship research with opportunity identification as the core.

Based on the indexes of entrepreneurial opportunity valuation,this paper constructs an integrated model of entrepreneurial opportunity identification,whose core idea is that entrepreneurial opportunity identification is a process.

On one hand,it concentrates on exploring and demonstrating the differences between entrepreneurs and other groups,on the other hand,the effect of cognitive bias on the process of opportunity identification attracts many researchers.