Comparing Fuzzy Graphs

نویسنده

  • Klaus-Peter Huber
چکیده

This paper investigates techniques to compare two fuzzy graphs. Fuzzy graphs have raised increasing attention, because they not only allow an easy interpretation but in addition finding regions of interest or tolerating missing attributes can be done computationally very efficiently. This is of great interest in numerous applications, for example Intelligent Data Analysis, Metamodeling and others. In this paper a computationally efficient way to compare two fuzzy graphs is presented.

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تاریخ انتشار 2013