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An absence of trust among partners can magnify the risk in a complex project by increasing behavioural uncertainty. Partnership trust can effectively substitute for control, reducing variability of outcomes and increasing value-adding strategic collaboration. It is introduced as strategic countermeasures against risks associated with project complexity that can only be achieved with commitment from all partners. This research conceptualises partnership trust on four dimensions and investigates the roles of dedicated investment and information sharing in partnership trust–commitment. The complexity of trust management is further highlighted in an exploration of the importance of the exchange relationship environment.

Recently most parking control systems provide customers with various services, but most of the services are just the extension of parking spaces, automatic parking control system and so on. It is essential to use the satisfaction degree as the extent that customer are satisfied with parking control system to improve the quality of the system services and diversify the system services. The degree of satisfaction is different from customer to customer in same condition and can be represented as linguistic variables. In this paper, we present therefore a technique that quantify how much customer are satisfied with parking control system and fuzzy inference system architecture as a solution that can help us to make a efficient decision for these parking problems. In this architecture, inference engine using fuzzy logic compares context data with the rules in the fuzzy rule-based system, gets the sub-results, aggregates them and defuzzifies the aggregated result using MATLAB application programming to obtain crisp value. Fuzzy inference system architecture presented in this paper, can be used as a efficient method to analyze the satisfaction degree which is represented as fuzzy linguistic variables by human emotion. And it can be used to improve the satisfaction degree of not only parking system but also other service systems of various domains ▸Keyword : 지능형 주차(Intel ligent Parking), 고객만족 서비스(Customer Satisfaction Service), 퍼지 추론(Fuzzy Inference), 규칙기반(Rul e based), 상황 정보 (Context Information)

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Reversible lanes in urban intersections is used to efficiently control vehicles, reduce traffic congestion and increase the capacity of a roadway. But by far traffic control systems in urban intersections are simple and manually operated by police officers. In this study, we present a hybrid algorithmthat intelligently resolve the moving direction of reversible lanes to efficiently manage the flow of traffic at intersection. The proposed algorithmconsists of three stages:(i) fuzzy inference method to get the efficiency of moving direction, (ii) a provisional decision whether to change the reversible lane to different direction, (iii) a final evaluation criterion for changing the directions of the reversible lanes. The fuzzy inference results of efficiency are shown by using matlab application. ▸