Fuzzy Rule Base Research Papers (original) (raw)
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— With the exponential increase in the use of cooling device, the air conditioning systems are becoming an essential part of our day to day life. Data suggest an exponential rise in the use of air conditioners in urban as well as rural... more
— With the exponential increase in the use of cooling device, the air conditioning systems are becoming an essential part of our day to day life. Data suggest an exponential rise in the use of air conditioners in urban as well as rural India. With the increase in the usage of air conditioners, there is a simultaneous increase in the electrical power consumption. In this paper a design has been pr oposed considering various input parameters and applying Fuzzy Logic System to the Air Conditioner. By considering the input parameters we can greatly modify the functioning of the AC and reduce the electrical energy intake of the AC compressor/Fan while utilizing all available resources in the efficient manner. For better implementation, we have considered the climatic condition of coastal region namely Bhubaneswar area in the state of Odisha, India. Bhubaneswar being in the coastal area, the values of temperature and humidity are higher in comparison to non-coastal areas of India.
Pembelajaran sistem pangkalan peraturan kabur menggunakan algoritma genetik mempunyai masa depan yang cerah bagi menyelesaikan beberapa masalah. Lojik kabur menawarkan cara sederhana bagi menyimpulkan maklumat input yang kasar, kabur,... more
Pembelajaran sistem pangkalan peraturan kabur menggunakan algoritma genetik mempunyai masa depan yang cerah bagi menyelesaikan beberapa masalah. Lojik kabur menawarkan cara sederhana bagi menyimpulkan maklumat input yang kasar, kabur, cacat atau tidak jelas. Model lojik kabur adalah berasaskan kaedah–kaedah empirik bergantung kepada pengalaman operator berbanding dengan pengetahuan teknikal daripada sistem. Dalam metod lojik kabur, sebarang input yang munasabah dapat diproses dan ...
The Internet makes it possible to share and manipulate a vast quantity of information efficiently and effectively, but the rapid and chaotic growth experienced by the Net has generated a poorly organized environment that hinders the... more
The Internet makes it possible to share and manipulate a vast quantity of information efficiently and effectively, but the rapid and chaotic growth experienced by the Net has generated a poorly organized environment that hinders the sharing and mining of useful data. The need for meaningful web-page classification techniques is therefore becoming an urgent issue. This paper describes a novel
Fuzzy rule–based models, a key element in soft computing (SC), have arisen as an alternative for time series analysis and modeling. One difference with preexisting models is their interpretability in terms of human language. Their... more
Fuzzy rule–based models, a key element in soft computing (SC), have arisen as an alternative for time series analysis and modeling. One difference with preexisting models is their interpretability in terms of human language. Their interactions with other components have also contributed to a huge development in their identification and estimation procedures. In this article, we present fuzzy rule–based models, their links with some regime-switching autoregressive models, and how the use of soft computing concepts can help ...
Fuzzy rule–based models, a key element in soft computing (SC), have arisen as an alternative for time series analysis and modeling. One difference with preexisting models is their interpretability in terms of human language. Their... more
Fuzzy rule–based models, a key element in soft computing (SC), have arisen as an alternative for time series analysis and modeling. One difference with preexisting models is their interpretability in terms of human language. Their interactions with other components have also contributed to a huge development in their identification and estimation procedures. In this article, we present fuzzy rule–based models, their links with some regime-switching autoregressive models, and how the use of soft computing concepts can help ...
In this paper, a fuzzy controller is proposed for a five degrees of freedom robot and implemented to an experimental robot to track the desired paths. The desired paths are constructed by a trajectory planning unit. This unit generates... more
In this paper, a fuzzy controller is proposed for a five degrees of freedom robot and implemented to an experimental robot to track the desired paths. The desired paths are constructed by a trajectory planning unit. This unit generates the position and velocity of ...
A stabilizing observer-based control algorithm for an in-wheel-motored vehicle is proposed, which generates direct yaw moment to compensate for the state deviations. The control scheme is based on a fuzzy rule-based body slip angle (beta)... more
A stabilizing observer-based control algorithm for an in-wheel-motored vehicle is proposed, which generates direct yaw moment to compensate for the state deviations. The control scheme is based on a fuzzy rule-based body slip angle (beta) observer. In the ...
A straightforward approach for designing fuzzy logic based controllers in Matlab/Simulink environment is presented in this paper. The approach focuses on the fuzzy rule base construction using the time varying values of control error (e)... more
A straightforward approach for designing fuzzy logic based controllers in Matlab/Simulink environment is presented in this paper. The approach focuses on the fuzzy rule base construction using the time varying values of control error (e) and its change (∆e) mapped on e-∆e space. In order to show the generalized model simplicity of the proposed approach, a fuzzy logic controller (FLC) is designed in Matlab/Simulink environment. For validation, the generated FLC block is simulated to control five different systems such as a PMDC motor speed control system, a position control system, a radar tracking control system, a synchronous generator voltage control system, and loadfrequency control of a two-area power system. The simulation results obtained by FLC are also compared with the results obtained using PID controllers for applicability validation of the developed FLC block in Matlab/Simulink environment.
Many high-order systems have a large state space. Such systems need to additional computation time for complex calculation to find the output response. Traditionally, iteration methods have been applied to solve this problem. In this... more
Many high-order systems have a large state space. Such systems need to additional computation time for complex calculation to find the output response. Traditionally, iteration methods have been applied to solve this problem. In this paper advantages of stability equation method derived by Parmer, [1], and the error minimization technique used in genetic-fuzzy algorithm have been combined to propose a
The hypnogram is determined after a study of electrophysiological records. In this paper we present the Intelligent system for sleep stages classification (ISSSC). This system is divided into four different modules: the first processes... more
The hypnogram is determined after a study of electrophysiological records. In this paper we present the Intelligent system for sleep stages classification (ISSSC). This system is divided into four different modules: the first processes the electrophysiological signals and ...
Natural hazards such as flooding can cause changes in land-cover. The present study deals with the changes in land-cover in three worst affected districts (Anand, Vadodara and Kheda) of Gujarat state in India due to severe flood during... more
Natural hazards such as flooding can cause changes in land-cover. The present study deals with the changes in land-cover in three worst affected districts (Anand, Vadodara and Kheda) of Gujarat state in India due to severe flood during 2005. The Indian Remote ...
Pulmonary Function Tests (PFTs) are very important in the medical evaluation of patients suffering from “shortness of breath”, and they are effectively used for the diagnosis of pulmonary diseases, such as COPD (i.e. chronic obstructive... more
Pulmonary Function Tests (PFTs) are very important in the medical evaluation of patients suffering from “shortness of breath”, and they are effectively used for the diagnosis of pulmonary diseases, such as COPD (i.e. chronic obstructive pulmonary diseases). Measurement of Forced Vital Capacity (FVC) and Forced Expiratory Flow in the 1st second (FEV1) are very important for controlling the treatment of