نتایج جستجو برای: using fuzzy inference system fis
تعداد نتایج: 5040253 فیلتر نتایج به سال:
Prakiraan cuaca merupakan salah satu kajian yang sangat menarik untuk dilakukan. Data mengenai juga dibutuhkan di berbagai bidang kehidupan, sehingga membuat penulis tertantang meneliti metode paling akurat dalam memprakirakan cuaca. Salah teknik pemodelan prakiraan adalah Fuzzy Inference System (FIS), dan FIS ini menghasilkan tingkat akurasi tinggi.. Metode terbagi menjadi tiga tipe yaitu Mamd...
This paper presents a voltage control method using multiple distributed generators (DGs) based on a multi-agent system framework. The output controller of each DG is represented as a DG agent, and each voltage-monitoring device is represented as a monitoring agent. These agents cooperate to accomplish voltage regulation through a coordinating agent or moderator. The moderator uses the reactive ...
Organizational performance is a complex issue given that performance is a multifaceted phenomenon whose components may have distinct managerial priorities and may even be mutually inconsistent. Recently, the balanced scorecard approach (BSC), as an effective multi-criteria evaluation concept received much attention in organizational performance measurement. Although the BSC conceptual framework...
In order to make system reliable, it should inhibit guarantee for basic service, data flow, composition of services, and the complete workflow. In service-oriented architecture (SOA), the entire software system consists of an interacting group of autonomous services. Some soft computing approaches have been developed for estimating the reliability of service oriented systems (SOSs). Still much ...
As a scientific publishing house, Indonesian Institute of Sciences (LIPI) Press' encountered some problems in publication planning, mainly predicting the optimum production publications. This study aimed to enhance fuzzy inference system (FIS) parameters using genetic algorithm (GA). The enhancements led optimally predict number LIPI Press publications for following year. predictors used were w...
Evaluation is one of the most important necessities in the process of urban regeneration, which leads to the optimal decision to solve the problem of urban inefficiency. Evaluating decisions in the urban regeneration process, given its complexity, ambiguity and uncertainty, is a critical issue that requires identifying the criteria that affect its realization and using fuzzy decision-making met...
In this work a novel Multi-Sensor Data Fusion (MSDF) architecture with fault tolerant characteristics is proposed. This MSDF architecture is based on Kalman filtering and fuzzy logic techniques. First, the measurement coming from each sensor is fed to a fuzzy–adapted Kalman filter (FKF). The adaptation is in the sense of adjusting the measurement noise covariance matrix R using a fuzzy inferenc...
<span>The performance of a cognitive radio network (CRN) mainly depends on the faithful signal detection at fusion center (FC). In this paper, concept weighted Fuzzy rule in Iris data classification, as well as, four machine learning techniques named fuzzy inference system (FIS), <em>c</em>-means clustering (FCMC), support vector (SVM) and convolutional neural (CNN) are applie...
This study presents an automatic on-line adaptation mechanism to the handwriting style of a writer for the recognition of isolated handwritten characters. The classifier we use here is based on a Fuzzy Inference System (FIS) similar to those we have designed for handwriting recognition. In this FIS each premise rule is composed of a fuzzy prototype which represents intrinsic properties of a cla...
This paper presents a Dynamic Fuzzy Q-Learning (DFQL) method that is capable of tuning the Fuzzy Inference Systems (FIS) online. On-line self-organizing learning is developed so that structure and parameters identification are accomplished automatically and simultaneously. Selforganizing fuzzy inference is introduced to calculate actions and Q-functions so as to enable us to deal with continuou...
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