This paper presents a methodology that integrates fuzzy clustering and computer simulation and demonstrates its use in modeling earthmoving operations. A simulation system (SimEar...
The construction process is subject to an array of influences, both from internal and external environments, which makes the process performance uncertain and difficult to predict...
In this paper, a new fuzzy clustering algorithm that uses cellular learning automata based evolutionary computing (CLA-EC) is proposed. The CLA-EC is a model obtained by combining...
Reza Rastegar, A. R. Arasteh, Arash Hariri, Mohamm...
— To enhance the generalization capacity of a distribution learning method, we propose to use a fuzzy Bayesian framework based on Bayes rules. The precision of the learning resul...
Tunnel construction are essentially infrastructure projects that includes many interfered and sophisticated tasks. This paper presents a decision support tool, Tunnel_Sim, for pla...