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Networked multiagent systems are very popular in large-scale application environments. In networked multiagent systems, the interaction structures can be shaped into the form of networks where each agent occupies a position that is determined by such agent's relations with others. To avoid collisions between agents, the decision of each agent's strategies should match its own interaction position,...
Data Envelopment Analysis (DEA) is a non-parametric technique for measuring and evaluating the relative efficiencies of a set of decision-making units in terms of a set of common inputs and outputs, which is more popular in analyses of the emerging industry. With DEA, we handle multiple inputs and multiple outputs in Lucheng District of Wenzhou city, assess potential technical efficiency and scale...
Factor analysis is a statistical method used to uncover relationships among many variables. Factor analysis could be used to separate the information gained about the interdependencies variables, helping reduce a large number of variables to a smaller number of factors for modeling purposes. It is becoming more and more popular in socio-economics statistics. This paper, based on mathematical statistics...
Context information is taken into account when evaluating agents' trust to reflect the dynamic feature of multi-agent systems in open uncertain environment more accurately. A context-aware computational trust model based on Bayesian networks is proposed. Unlike many existing intuitive solutions, both the reputation estimation and unfair recommender filtering use statistical approaches. Risk is explicitly...
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