International Journal of Man-Machine Studies
Automatic construction of FCMs
Fuzzy Sets and Systems
Simphony: an environment for building special purpose construction simulation tools
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
Proceedings of the 40th Conference on Winter Simulation
Enhancement of co-authorship networks with content-similarity information
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Mining research abstracts for exploration of research communities
Proceedings of the 5th ACM COMPUTE Conference: Intelligent & scalable system technologies
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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. To deal with uncertainty, simulation is widely applied in construction process modeling. Most of the applications, however, are restricted to quantitative models due to limited qualitative simulation capabilities. In this paper, Fuzzy Cognitive Maps (FCM) are proposed as a means for modeling and controlling complex construction performance-related problems qualitatively. They provide an effective tool for answering what-if questions during the construction planning phase.