t-Norms vs: Min in fuzzy algebra

Davender S. Malik, John N. Mordeson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

One can define fuzzy substructures of algebraic structures by using arbitrary t-norms. Since Min is a t-norm, the given approach which redefined the notion of a fuzzy subgroup is more general. There are many important results which hold when Min is used which do not hold when Min is replaced by an arbitrary t-norm. This paper aims to compare the two approaches in detail.

Original languageEnglish
Title of host publicationSecond International Conference on Fuzzy Theory and Technology Proceedings, Abstracts and Summaries
EditorsP.P. Wang, J.C.-Y. Tyan, K. Kaneda
Pages132-134
Number of pages3
Publication statusPublished - 1993
EventSecond International Conference on Fuzzy Theory and Technology Proceedings, Abstracts and Summaries - Durham, NC, United States
Duration: Oct 13 1993Oct 16 1993

Other

OtherSecond International Conference on Fuzzy Theory and Technology Proceedings, Abstracts and Summaries
CountryUnited States
CityDurham, NC
Period10/13/9310/16/93

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Information Systems
  • Software

Cite this

Malik, D. S., & Mordeson, J. N. (1993). t-Norms vs: Min in fuzzy algebra. In P. P. Wang, JC-Y. Tyan, & K. Kaneda (Eds.), Second International Conference on Fuzzy Theory and Technology Proceedings, Abstracts and Summaries (pp. 132-134)