Generalized contraction mapping in probabilistic metric space

Authors

  • Shams-ur Rahman Department of Natural Sciences, Kathmandu University
  • K Jha Department of Natural Sciences, Kathmandu University

Keywords:

Fixed point, Distribution function, t-norm, PM space, contraction mapping

Abstract

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). Retrieved from https://journals.ku.edu.np/kuset/article/view/307

Issue

Vol. 7 No. 1 (2011): Kathmandu University for Science, Engineering and Technology (KUSET)

Section

Original Research Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

This work is licensed under CC BY-SA 4.0