Perceptual proximity-based approach to structural complexity estimate of simplicial complex in the framework of Q-analysis holistic methodology

In this paper, we introduce the scheme to construct numerical estimate (with possible further verbal assessment) in reference to structural complexity ψ(K) of system's model in the form of simplicial complex(-es) K. The approach uses the notion of feature vectors meant for obtaining aforesaid ψ(K) based on proximity measures. Additional examination of aspects related to the way humans percept, represent and use information for classification and reasoning may develop into close partnering of cognitive psychology, fuzzy logic and Q-analysis methods.

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