Fixed Point Theory in Probabilistic Metric Spaces

Introduction. 1. Triangular norms. 2. Probabilistic metric spaces. 3. Probabilistic GBPIiGBP-contraction principles for single-valued mappings. 4. Probabilistic GBPIiGBP-contraction principles for multi-valued mappings. 5. Hicks' contraction principle. 6. Fixed point theorems in topological vector spaces and applications to random normed spaces. Bibliography. Index.