Intelligent social network analysis using granular computing

@article{Yager2008IntelligentSN,
  title={Intelligent social network analysis using granular computing},
  author={Ronald R. Yager},
  journal={Int. J. Intell. Syst.},
  year={2008},
  volume={23},
  pages={1197-1219}
}
An introduction to some basic ideas of graph (relational network) theory is first provided. We then discuss some concepts from granular computing in particular the fuzzy set paradigm of computing with words. The natural connection between graph theory and granular computing, particularly fuzzy set theory, is pointed out. This connection is grounded in the fact that these are both setbased technologies. Our objective here is to take a step toward the development of intelligent social network… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 30 CITATIONS

A fuzzy classification using a Type-2 fuzzy model in social networks

  • 2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS)
  • 2016
VIEW 10 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

The Perceptual Computer: the Past, Up to the Present, and Into the Future

  • Informatik-Spektrum
  • 2018
VIEW 7 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Social Network Database Querying Based on Computing with Words

  • Flexible Approaches in Data, Information and Knowledge Management
  • 2013
VIEW 3 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

An Efficient Matching Algorithm for Fuzzy RDF Graph

  • J. Inf. Sci. Eng.
  • 2018
VIEW 1 EXCERPT
CITES METHODS

Similar Papers

Loading similar papers…