Generalized contraction mapping in probabilistic metric space
DOI:
https://doi.org/10.70530/kuset.v7i1.307Keywords:
Fixed point, Distribution function, t-norm, PM space, contraction mappingAbstract
The probabilistic metric space as one of the important generalization of metric space was introduced by K. Menger in 1942. In this paper, we briefly discuss the historical developments of contraction mappings in probabilistic metric space with some fixed point results.
Published
2011-01-28
How to Cite
Rahman, S.- ur, & Jha, K. (2011). Generalized contraction mapping in probabilistic metric space. Kathmandu University Journal of Science Engineering and Technology, 7(1). https://doi.org/10.70530/kuset.v7i1.307
Issue
Section
Original Research Articles
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
This work is licensed under CC BY-SA 4.0