Applications of Finite Markov Chains and Fuzzy Logic in Learning Contexts: Emerging Research and Opportunities

Applications of Finite Markov Chains and Fuzzy Logic in Learning Contexts: Emerging Research and Opportunities

Michael Voskoglou (Graduate Technological Educational Institute of Western Greece, Greece)
Projected Release Date: September, 2017|Copyright: © 2018 |Pages: 193
ISBN13: 9781522533283|ISBN10: 1522533281|EISBN13: 9781522533290|DOI: 10.4018/978-1-5225-3328-3
Out of print.

Description

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.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Decision-Making Models
  • Defuzzification
  • Fuzzy Numbers
  • Fuzzy System Uncertainty
  • Problem Solving Models
  • Reasoning Skills

Table of Contents and List of Contributors

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