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The process of bid/no-bid decision-making is su bjected to uncertainty and influence of complex criteria. This paper proposed an application of the integration of rough sets (RS) and improved general regression neural network (GRNN) based on niche particle swarm optimization (NPSO) algorithm for tendering decision making. The decision table of RS and the attribution reduction was processed by MIBARK algorithm to simply the samples of GRNN. In order to improve the general regression neural network (GRNN) network performance, the niche particle swarm optimization (NPSO) was used to optimize the spread parameter σ of GRNN neural network, then a novel Bid/no-bid decision model was established based on RS and NPSO-GRNN neural network algorithm. The applicability of the proposed model was tested using real cases in Beijing. The results indicate that NPSO-GRNN algorithm has an advantage such as in prediction accuracy and generalization ability. The proposed decision support system approach is useful to help manager to make better Bid/no-bid decisions in uncertain construction markets, so they can take steps to prevent bid distress.

To find a more effective method for the assessment of sustainable urban transport development, the comprehensive assessment model of sustainable urban transport development was established based on the unascertained measure. On the basis of considering the factors influencing urban transport development, the comprehensive assessment indexes were selected, including urban economical development, transport demand, environment quality and energy consumption, and the assessment system of sustainable urban transport development was proposed. In view of different influencing factors of urban transport development, the index weight was calculated through the entropy weight coefficient method. Qualitative and quantitative analyses were conducted according to the actual condition. Then, the grade was obtained by using the credible degree recognition criterion from which the urban transport development level can be determined. Finally, a comprehensive assessment method for urban transport development was introduced. The application practice showed that the method can be used reasonably and effectively for the comprehensive assessment of urban transport development.

Quantitative security risk evaluation of information systems is increasingly drawing more and more attention. The purpose of this paper is to propose a novel method integrated grey relational analysis and grey-AHP evaluation to classification for information systems (IS) security. There are, of course, multiplicities of factors that will affect the security evaluation of information systems. Using grey relational analysis, we provided a tool to aid clients and their consultants in estimating or benchmarking the information systems security. It then provides a grey evaluation model of estimating the indicator system of information systems on the basis of the related reference, in which an evaluation methodology based on combination of grey evaluation method and Group-decision  AHP method(Grey-AHP) for classifying grey clusters, calculating weights, creating an evaluation matrix and using comprehensive coefficient are presented. An example of practical application is given to show the effectiveness of this method. The result is believed to provide new means and ideas for the evaluation of IS security