Structure identification of fuzzy model
Fuzzy Sets and Systems
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Soft Computing and Fuzzy Logic
IEEE Software
New membership functions for effective design and implementation of fuzzy systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Fuzzy Systems
Self-adaptive neuro-fuzzy inference systems for classification applications
IEEE Transactions on Fuzzy Systems
Neuro-fuzzy rule generation: survey in soft computing framework
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Modelling plant control strategies and their applications into a knowledge-based system
Applied Soft Computing
Prediction of laser solid freeform fabrication using neuro-fuzzy method
Applied Soft Computing
An adaptive neuro-fuzzy inference system for bridge risk assessment
Expert Systems with Applications: An International Journal
An expert system of price forecasting for used cars using adaptive neuro-fuzzy inference
Expert Systems with Applications: An International Journal
Evaluation of Mn concentration provided by soil in citrus-growing regions
Computers and Electronics in Agriculture
Expert Systems with Applications: An International Journal
Modeling of road-traffic noise with the use of genetic algorithm
Applied Soft Computing
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
Interruptions in the workplace: A case study to reduce their effects
International Journal of Information Management: The Journal for Information Professionals
Enhanced combination modeling method for combustion efficiency in coal-fired boilers
Applied Soft Computing
Predicting the impact of hospital health information technology adoption on patient satisfaction
Artificial Intelligence in Medicine
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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A neuro-fuzzy computing provides the system identification and interpretability of fuzzy models and learning capability of neural networks in a single system. In the last decade, various neuro-fuzzy systems have been developed. Among them, adaptive neuro-fuzzy inference system (ANFIS) provides a systematic and directed approach for model building and gives the best possible design parameters in minimum time. They have got wide acceptance for modelling many real world problems. One such problem frequently encountered is the effects of noise pollution on human work efficiency. From the literature survey, it is observed that the three most important factors influencing human work efficiency are noise level, type of task, and exposure time. The cause effect relationships of these parameters are complex, uncertain, and non-linear in nature. Therefore, it is quite difficult to properly examine it by conventional methods. Hence, an attempt is made in this paper to develop a neuro-fuzzy model for predicting the effects of noise pollution on human work efficiency as a function of noise level, type of task, and exposure time. The model is implemented on Fuzzy Logic Toolbox of MATLAB^(C) using ANFIS. The data used in the present study is obtained with the help of the original fuzzy model developed by the authors. Out of the total input/output data sets, 80% was used for training the model and 20% for checking to validate the model.