Recently we proposed the linguistic Copenhagen interpretation (or, quantum language, measurement theory), which has a great power to describe both classical and systems. Thus think that language can be viewed as of science. Further, showed certain logic (called fuzzy logic) works in language. In general, it is said time do not go well together. Then, purpose this paper show with time. That is, ...

This paper assumes a user-oriented point of view in examining the performability of a dependable omputing system. The investigated performability measure is the e e tive time that a task, with an assigned work requirement, takes to be exe uted by the system. Assuming that the system hanges its performan e hara teristi s randomly in time, the sto hasti model representing the task ompletion time ...

in this paper we consider the problem of delay-dependent robusth1 control for uncertain fuzzy systems with time-varying delay. the takagi–sugeno (t–s) fuzzy model is used to describe such systems. time-delay isassumed to have lower and upper bounds. based on the lyapunov-krasovskiifunctional method, a sufficient condition for the existence of a robust $h_{infty}$controller is obtained. the fuzz...

project planning is part of project management, which is relates to the use of schedules such as gantt charts to plan and subsequently report progress within the project environment. initially, the project scope is defined and the appropriate methods for completing the project are determined. in this paper a new approach for the critical path analyzing a project network with random fuzzy activi...

In this research, graphitization transformation of a commercial hypereutectoid steel called CK100 was studied by the dilatometric experiments at the range of 600 – 700 °C from prior martensitic structure. Also the effect of quenching media on the initial graphitization time and completion of transformation has been discussed. Also, graphitization transition from the different prior microstructu...

In this paper a technique is proposed to tolerate missing values based on a system of fuzzy rules for classiication. The presented method is mathematically solid but nevertheless easy and eecient to implement. Three possible applications of this methodology are outlined: the classiication of patterns with an incomplete feature vector, the completion of the input vector when a certain class is d...

this paper investigates the use of self learning fuzzy PD controller applied to SVC device for improving damping inter-area modes of oscillations. The SLFLC utilizes sensitivity model for learning of SLFLC parameters. This has been enhanced by adding an integral term whose gain coefficient is also synthesized by learning that is actuated after completion of the main learning algorithm. The pape...