Application of an adaptive neural fuzzy inference system to thermal comfort and group technology problems

Authors:
G. Naadimuthu;D. M. Liu;E. S. Lee
Affiliations:
Department of Information Systems and Decision Sciences, Silberman College of Business, Fairleigh Dickinson University, Madison, NJ 07940, USA;Department of Industrial and Manufacturing Systems Engineering, Kansas State University, Manhattan, KS 66506, USA;Department of Industrial and Manufacturing Systems Engineering, Kansas State University, Manhattan, KS 66506, USA
Venue:
Computers & Mathematics with Applications
Year:
2007

Citing 4
Cited 5

Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system

Neural Networks
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence

Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Fuzzy neural applications in group technology

Fuzzy neural applications in group technology
Reinforcement structure/parameter learning for neural-network-based fuzzy logic control systems

IEEE Transactions on Fuzzy Systems

Erratum: Comment on: "Application of an adaptive neural fuzzy inference system to thermal comfort and group technology problems" [Comput. Math. Appl. 54 (2007) 1395-1402]

Computers & Mathematics with Applications
Erratum: Comment on 'Comment on: "Application of an adaptive neural fuzzy inference system to thermal comfort and group technology problems" [Comput. Math. Appl. 54 (2007) 1395-1402] by Tarkan Erdik and Zekal Sen'

Computers & Mathematics with Applications
Process control strategies for a steel making furnace using ANN with bayesian regularization and ANFIS

Expert Systems with Applications: An International Journal
An effectiveness model for an indirect evaporative cooling (IEC) system: Comparison of artificial neural networks (ANN), adaptive neuro-fuzzy inference system (ANFIS) and fuzzy inference system (FIS) approach

Applied Soft Computing
Wireless sensor networks and human comfort index

Personal and Ubiquitous Computing

Quantified Score

Hi-index	0.09

Visualization

Abstract

The Adaptive Neural Fuzzy Inference System (ANFIS) is used to design two vague systems, namely thermal comfort and group technologies in production and operations management. Results show that both systems can be modeled successfully by the combined use of a fuzzy approach and neural network learning.