Group technology (GT) is a useful way to increase productivity with high quality in flexible manufacturing systems. Cell formation (CF) is a key step in GT. It is used to design a good cellular manufacturing system that uses the similarity measure between parts and machines so that it can identify part families and machine groups. Recently, fuzzy clustering has been applied in GT because the fu...

The necessity to use various tools – instructional media and technology for effective teaching using combined overlap block fuzzy cognitive maps (COBFCMS) defined by W.B. Vasantha Kandaswamy is analyzed in this paper. The combined overlap block FCM’s defined in this method become effective when the number of concepts can be grouped and are large in numbrs. In this paper we have analyzed the var...

Gene Regulatory Networks are models of genes and gene interactions at the expression level. The advent of microarray technology has challenged computer scientists to develop better algorithms for modeling the underlying regulatory relationship in between the genes. Fuzzy system has an ability to search microarray datasets for activator/repressor regulatory relationship. In this paper, we presen...

In the article an application of the fuzzy testing of hypothesis to the stochastic-signal detection problem is considered when the signal-to-noise ratio approaches zero. We first obtain the general reManuscript received March 13, 1992; revised February 1 1 , 1993. This work was supported by the Science and Engineering Foundation of Korea (KOSEF) under Grant 92 1-0800-002-2. The authors are with...

Keywords fuzzy-trigger-Yager-vlsi-pipeline Abstract This paper presents a design of a 50 Mega Fuzzy Inferences per Second (MFIPS) digital fuzzy processor. The design has been developed using 1.0 µm CMOS VLSI technology with Cadence Edge that we have got from Eurochip. Particularly two dedicated circuits are reported: the MIN-MAX and the Defuzzifier. These circuits have been separatly designed a...

Supply chain responsiveness creates value for firms and their stakeholders is a key towards generating above-normal profits firms. Consequently, there has been surge of research on it, which expanded due to the pressures be responsive during pandemic COVID19. Responsiveness an attribute wherein supply chains are equipped respond resolutely within suitable timeframe consumer requirements. The tr...

The industrial applications of fuzzy processors are increasing mainly in control and pattern recognition fields. Some of these applications require high speed that can not be obtained by standard commercial fuzzy processors. This paper describes the architecture of a very small size high speed fuzzy chip with two inputs and one output. The input sample rate of 80 ns (4 clock cycles at 50 MHz) i...

A fuzzy neural network controller which is the combination of the fuzzy control and neural network technology, is presented based on the severe nonlinearity and large hysteresis of the pH value control process. It shows that,by digital simulation, the control effect of the proposed FNNC's control algorithm is much better than it of the conventional PID control and ecumenic fuzzy control algorit...

In this paper two types of neural networks, namely the “traditional” tansig based neural networks and the multilayer perceptrons based on fuzzy flipflops (FNN) trained by the Bacterial Memetic Algorithm with Modified Operator Execution Order (BMAM) are tested and compared on their robustness to test functions outliers. The robust design of the FNN is presented, and the best suitable fuzzy neuro...

This study's objective is to develop and use a scalable genuine technology platform for clinical decision support based on Arden Syntax, which was extended by fuzzy set theory and fuzzy logic. Arden Syntax is a widely recognized formal language for representing clinical and scientific knowledge in an executable format, and is maintained by Health Level Seven (HL7) International and approved by ...