This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for USD/JPY exchange rates forecasting. Previous work often used time series techniques and neural networks (NN). ANFIS can be used to better explain solutions to users than completely black-box models, such as NN. The proposed neurofuzzy rule based system applies some technical and fundamental indexes as input variables. In o...

This paper presents a comprehensive study of ANFIS+ARIMA+IT2FLS models for forecasting the weather of Raipur, Chhattisgarh, India. For developing the models, ten year data (2000-2009) comprising daily average temperature (dry-wet), air pressure, and wind-speed etc. have been used. Adaptive Network Based Fuzzy Inference System (ANFIS) and Auto Regressive Moving Average (ARIMA) models based on In...

The paper presents problems arising during developing algorithms controlling workpiece flow subsystems in a flexible manufacturing system. The necessary signals as well as the general algorithm responsible for worpiece flow in a flexible manufacturing system were defined. On the basis of a structure of a flexible manufacturing system developed at the Institute of Manufacturing Engineering of Sz...

This paper presents a new version of fuzzy support vector machine to forecast the nonlinear fuzzy system with multi-dimensional input variables. The input and output variables of the proposed model are describedas triangular fuzzynumbers. Thenby integrating the triangular fuzzy theory andv-support vector regression machine, the triangular fuzzy v-support vector machine (TFv-SVM) is proposed. To...

Reengineering consists of conceiving the radical improvements that must be introduced into the organization of a manufacturing system so that the product managerial attributes satisfy a target market. Fuzzy cognitive maps are fuzzy signed digraphs that cannot justify their outputs because they are full of feedback loops. This paper presents an intelligent system that supports reengineering. The...

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...

Recent studies have shown that as demand becomes irregular and complex (i.e., lumpy), a possible approach for managing such uncertainty is to collect information directly from customers. This implies that the sales units have to move closer to customers, analyse their likely requirements, and collect quantitative and structured data as well as qualitative and subjective insights. However, as in...

Most of the existing forecasting techniques give the basic idea of crop production per year. There are various forecasting techniques, we have worked on two techniques one is Fuzzy Time Series and another one is Diffusion of Innovation. Research paper will focus on (SAII) study, analyze, improve and implement strategies of forecasting techniques depending on nature of data and we have done SAII...

a r t i c l e i n f o a b s t r a c t Keywords: Volatility forecasting Stock markets EGARCH type1 and type2 fuzzy-EGARCH models Functional link neural network Differential harmony search In this paper a new hybrid model integrating an interval type2 fuzzy logic system (IT2FLS) with a computationally efficient functional link artificial neural network (CEFLANN) and an Exponential Generalized Aut...