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 language | English |
|---|---|
| Title of host publication | Second International Conference on Fuzzy Theory and Technology Proceedings, Abstracts and Summaries |
| Editors | P.P. Wang, J.C.-Y. Tyan, K. Kaneda |
| Pages | 132-134 |
| Number of pages | 3 |
| Publication status | Published - 1993 |
| Event | Second International Conference on Fuzzy Theory and Technology Proceedings, Abstracts and Summaries - Durham, NC, United States Duration: Oct 13 1993 → Oct 16 1993 |
Other
| Other | Second International Conference on Fuzzy Theory and Technology Proceedings, Abstracts and Summaries |
|---|---|
| Country | United States |
| City | Durham, NC |
| Period | 10/13/93 → 10/16/93 |
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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)