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Association rule mining makes interesting associations and/or correlations among large sets of data. Those associations can be refined as decision rules to be used and stored in a knowledge base system. In this paper, an approach based on association rule and knowledge base is proposed and implemented in the fault diagnosis of a transformer system. According to the features of association rule, the...
The continuous berth allocation problem (BAPC) in this study is a more practical berth allocation problem (BAP) with the following key features of modern multi-user terminal (MUT): the quayside space is allocated to incoming ships in a continuous manner other than divided into discrete berths; the space and time are allocated to dynamically calling vessels by predicting the arrival time; the position...
In multi-agent-based e-commerce environments, like a social network, it is critical for buying agents to build trust with the selling agents in the virtual e-marketplaces so as to mitigate the possible harm inflicted by any dishonest sellers. However, traditional approaches for establishing trust in the physical world can no longer be used. This paper introduces a graphical representation approach...
In this paper, we present a description model of a trust network graph (TNG)-for multi-agent-based e-commerce systems, which is similar to the relationship network formed among people's transaction activities in the real-world. The method assumes that a multi-agent system in a domain constitutes a community and so the trust network is modelled by the means of a graph in the community. Several notations...
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