Fuzzy Markovian decision processes: Application to queueing systems

a new type-ii fuzzy logic based controller for non-linear dynamical systems with application to 3-psp parallel robot

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...

Using Markovian Process Algebra to Specify Interactions in Queueing Systems

The advantages of using stochastic process algebra to specify performance models are well-documented. There remains, however, a reluctance in some quarters to use process algebras; this is particularly the case amongst queueing theorists. This paper demonstrates the use of a Markovian process algebra to represent a wide range of queueing models. Moreover, it shows that the most common interacti...

Application of Fuzzy Decision-Making to Facility Layout Planning

This research proposes a vigorous methodology based on the fuzzy set theory to improve the facility layout process. Using natural language, the fuzzy set theory is an appropriate tool for controlling complex systems such as facility planning. The closeness rating between departments in a plant depends on qualitative and quantitative factors. Some of these factors may have a greater effect on th...

Application of Fuzzy Decision-Making to Facility Layout Planning

This research proposes a vigorous methodology based on the fuzzy set theory to improve the facility layout process. Using natural language, the fuzzy set theory is an appropriate tool for controlling complex systems such as facility planning. The closeness rating between departments in a plant depends on qualitative and quantitative factors. Some of these factors may have a greater effect on th...

Online Learning in Markovian Decision Processes