Publisher's Synopsis
The interdisciplinary nature of probability theory makes it useful for numerous applications. By combining different methods of analysis, problems within this area can be better resolved. Applications of Finite Markov Chains and Fuzzy Logic in Learning Contexts: Emerging Research and Opportunities is an innovative source of scholarly material on effective techniques for utilizing fuzzy logic and finite Markov chains across different contexts. Highlighting a range of pertinent topics such as problem solving models, fuzzy numbers, and reasoning skills, this book is ideally designed for engineers, computer science specialists, researchers, students, and practitioners interested in the latest developments within probability theory research.
