A survey of soft modeling approaches for collaborative networks

A large number of aspects in collaborative networks are difficult to capture with traditional modeling approaches due to the inherent imprecision and incompleteness of information. Soft modeling approaches are specifically developed to handle such cases and thus have a high potential to the establishment of more effective and close to reality models. Computational intelligence methods are complemented with other approaches such as qualitative reasoning, complexity theories, chaos theory, etc.


Fuzzy Logic Soft Computing Causal Modeling Chaos Theory Collaborative Network 
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