Finite Markov Chain and Fuzzy Logic Assessment Models: Emerging Research and Opportunities

The theory of Markov Chains, being a smart combination of Linear Algebra and Probability Theory, offers ideal conditions for the study and mathematical modelling of a certain kind of phenomena depending upon random variables. Fuzzy logic on the other hand, due to its property of characterizing the uncertain real life situations with multiple values, provides a rich and meaningful addition to the standard logic that opens the door for modelling under conditions which are imprecisely defined. Finite Markov Chain and Fuzzy Logic models are developed in this book for assessing several human (e.g. learning, problem solving, reasoning, decision making, player performance, etc.) and machine (e.g. computer systems) activities.