In this paper, a model for the evaluation of investments in advanced manufacturing technology is developed. Many authors have called for an integration of financial and non-financial factors in such evaluations and this paper demonstrates that it is conceptually possible to do this using the mathematics of the analytic hierarchy process and fuzzy set theory. The development of the model has cer...

Computing with Words is an emerging paradigm in knowledge representation and information processing. It provides a mathematical model to represent the meaning of imprecise words and phrases in natural language and introduces advanced techniques to perform reasoning on inexact knowledge. Since its introduction, there have been many studies on computing with words but mostly from the theoretical ...

Abstract: Regarding the shortcomings of the cross-coupling control structure during the start-up of a multi-motor with load—namely, a large synchronization error and a long start-up time—this paper proposes a fuzzy self-adjusting cross-coupling control structure. This structure combines a fuzzy self-adjusting filter and an advanced synchronization compensator. The fuzzy self-adjusting filter ad...

Abstract Dynamics of miniature unmanned helicopter are considered nonlinear and mutually coupled; therefore designing of a stable control becomes a big challenge for researchers. This paper addresses this issue by proposing a hybrid control methodology using both traditional and intelligent control. A 3DoF model helicopter system is used as a controlled platform. This hybrid control used PID as...

Torque ripple is a major problem of switched reluctance motor drive system, which causes undesirable vibration and acoustic noise. In this paper, a novel method of torque closed-loop and fuzzy compensation control for the switched reluctance motor drive system based on finite element model is described. In terms of the simulation results and the special characteristics of static torquecurrent-a...

Job scheduling is an important but difficult task to wafer fabrication factories. To further improve the performance of job scheduling in a wafer fabrication factory, a fuzzy-neural dynamic-bottleneck-detection (DBD) approach is proposed in this study. The fuzzy-neural DBD approach is modified from the traditional DBD approach after incorporating some major changes. First, taking into account t...

During the World War I ,II over fifty countries in the world today have been inherited a legacy of antipersonnel landmines and unexploded ordnance (UXO) which represents a major threat to lives, and hinders reconstruction and development efforts. Landmines have specific properties that make it harder to detect .Therefore; these properties lead landmine detectors to become more complex. Many exa...

The power system models for transient stability studies are nonlinear and complex. Their parameters slowly change with time due to environmental effects or rapidly due to faults. It is preferable that the control technique in this system possesses robustness for various fault conditions and disturbances. Many control techniques that using Advanced Super-conducting Magnetic Energy Storage (ASMES...

Stability of a fuzzy control system is closely related to the analytical structure of the fuzzy controller, which is determined by its components such as input and output fuzzy sets and fuzzy rules. We first characterize the mathematical input–output structure of fuzzy controllers and then utilize the structure characteristics to advance stability analysis. We study how the components of a gene...

This short note reports on joint work with Trevor BenchCapon on FuzziCalc, an advanced, revolutionary, innovative fuzzy inference system whose social and commercial potential remains untapped. I summarise the design, theoretical foundations, and implementation, and sketch three illustrative applications. Some conclusions are drawn.