Generalized Fuzzy Relations

John N. Mordeson, Sunil Mathew, Davender S. Malik

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


Fuzzy relations are fundamental in applications of fuzzy set theory and fuzzy logic. The entire literature on fuzzy relations as applied to fuzzy graph theory are based on Rosenfeld's relations. Rosenfeld used minimum and maximum as the norm and conorm in his study of compositions of fuzzy relations. In this paper, we generalize fuzzy relations using arbitrary t-norms and t-conorms. Many of the results do not hold when minimum and maximum are replaced by an arbitrary norm and an arbitrary conorm. Reflexive, symmetric and transitive generalized fuzzy relations are also discussed and an application to human trafficking and illegal immigration is presented.

Original languageEnglish (US)
Pages (from-to)187-202
Number of pages16
JournalNew Mathematics and Natural Computation
Issue number2
StatePublished - Jul 1 2018

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Science Applications
  • Computational Mathematics
  • Computational Theory and Mathematics
  • Applied Mathematics


Dive into the research topics of 'Generalized Fuzzy Relations'. Together they form a unique fingerprint.

Cite this