Social Network Analysis

2020 ◽  
Vol 13 (3) ◽  
pp. 142-155
Author(s):  
Youness Madani ◽  
Mohammed Erritali ◽  
Jamaa Bengourram ◽  
Francoise Sailhan
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Fuzzy Logic System ◽  
New Approach ◽  
Written Text ◽  
Twitter Data ◽  
Important Field ◽  
Rule Inference ◽  
Logic System

Sentiment analysis has become an important field in scientific research in recent years. The goal is to extract opinions and sentiments from written text using artificial intelligence algorithms. In this article, we propose a new approach for classifying Twitter data into classes (positive, negative, and neutral). The proposed method is based on two approaches, a dictionary-based approach using the sentimental dictionary SentiWordNet, and an approach based on the fuzzy logic system (fuzzification, rule inference, and defuzzification). Experimental results show that our approach outperforms some other approaches in the literature and that by using the fuzzy logic we improve the quality of the classification.

Optimization of Grease Dispensing Unit Using Fuzzy Logic Algorithm

2016 ◽  
Vol 852 ◽  
pp. 859-866
Author(s):  
Milind Havanur ◽  
A. Arockia Selvakumar
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Process Parameters ◽  
Environmental Conditions ◽  
Fuzzy Logic System ◽  
Automated System ◽  
Factors Affecting ◽  
Fuzzy Logic Algorithm ◽  
Optimal Quantity ◽  
Logic System

Grease dispensing unit is a well invented tool for greasing application which preserves health of operator working and ensures optimal quantity. There are fluctuations in the process of grease dispensing which is dependent on process parameters which make the grease dispensing. The properties of grease vary which depend on environmental conditions. In this paper the modeling of grease dispensing process using artificial intelligence method, fuzzy logic to optimize the flow of grease by considering the factors affecting the flow of grease and usage of automated system for grease dispensing process. The work involves usage of LabVIEW for modeling of fuzzy logic network Based on the results obtained a detailed discussions were made on how to implement the fuzzy logic system for optimization of flow of grease for the existing process. Further, the work also details the future scope of work that can be carried out.

scholarly journals Use of the Fuzzy-Logic for Control of Accuracy and Increase of Production Quality

2018 ◽  
pp. 52-57
Author(s):  
I. Hrihorenko ◽  
S. Hrihorenko ◽  
E. Bezborodyi
Keyword(s):  
Computer Simulation ◽  
Fuzzy Logic ◽  
User Interface ◽  
Technological Process ◽  
Production Quality ◽  
Fuzzy Logic System ◽  
Factors Influencing ◽  
Definition Of ◽  
Logic System

The paper deals with the solution of the scientific and practical task of controlling the accuracy of the parameters of the process of making kefir and improving its quality by creating a heuristic analyzer based on the user interface of the fuzzy logic system. The factors influencing the accuracy of the operation of the digital meter are analyzed, the possibility of using the fuzzy logic apparatus has been proved to determine the parameters of the technological process that ensure the maximum quality of the product. Computer simulation was carried out, which confirmed that the creation of a heuristic analyzer for determining the quality of yogurt is appropriate and necessary in order to prevent the production of low-quality products through the definition of the stage of production on which there is a deviation of the technology and timely eliminate the violation.

A Fuzzy Logic System for Visual Evaluation

2005 ◽  
Vol 32 (2) ◽  
pp. 293-304 ◽  
Author(s):  
Siu-Pan Li ◽  
Barry F Will
Keyword(s):  
Fuzzy Logic ◽  
Data Collection ◽  
Evaluation Model ◽  
Fuzzy Logic System ◽  
Fuzzy Rules ◽  
Visual Evaluation ◽  
New Approach ◽  
Subjective Views ◽  
Logic System

Research has shown that views are an important factor in the overall satisfaction of building occupants, but, because they are qualitative and subjective, views are difficult to assess. This paper presents a new approach to analyzing views using a fuzzy logic methodology, with the aim of assessing the amenity of views. It illustrates the process of constructing a system from data collection and fuzzy rules design, to inference and defuzzification procedures. With the verification of the prediction outcomes, it is shown that the evaluation model can successfully mimic a human's subjective preferences for scenic views. The methodologies and the underlying principles of the evaluation model are explained.

scholarly journals Fuzzy Logic System to Determine Fruit Quality

2019 ◽  
Vol 8 (12) ◽  
pp. 1188-1191
Keyword(s):  
Fuzzy Logic ◽  
Water Level ◽  
Fruit Quality ◽  
New Technology ◽  
Fuzzy Logic System ◽  
Health Issues ◽  
Production And Consumption ◽  
Level Sensor ◽  
Logic System

Nowadays the production and consumption of food has increased very vast. The buyers and sellers are getting the food products without any proper checking their quality. So because of this there are many lot of health issues has been rising up daily. The farmers are using many chemicals and fertilizers in order to ripen the fruits. Those fruits will be very harmful for any purpose. So these days a new technology came to existence in order to check the quality of the fruit before it reaches the market. This module comprises of various sensors like aroma sensor, water level sensor and aroma sensor to check the quality of the fruit. All the sensors are impressed on a WSN which consists of IOT. This works by a wifi module in order to get the output for the personal mobile or laptop.

A New Hardware Architecture for Fuzzy Logic System Acceleration

2016 ◽  
Vol 12 (2) ◽  
pp. 188-197
Author(s):  
A yahoo.com ◽  
Aumalhuda Gani Abood aumalhuda ◽  
A comp ◽  
Dr. Mohammed A. Jodha ◽  
Dr. Majid A. Alwan
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic System ◽  
Hardware Architecture ◽  
Logic System

Penerapan Logika Samar dalam Peramalan Data Runtun Waktu

2011 ◽  
Vol 3 (2) ◽  
pp. 11-15
Author(s):  
Seng Hansun
Keyword(s):  
Time Series ◽  
Fuzzy Logic ◽  
Time Series Analysis ◽  
Fuzzy Sets ◽  
Fuzzy System ◽  
Time Series Data ◽  
Fuzzy Logic System ◽  
Series Data ◽  
Series Analysis ◽  
Logic System

Recently, there are so many soft computing methods been used in time series analysis. One of these methods is fuzzy logic system. In this paper, we will try to implement fuzzy logic system to predict a non-stationary time series data. The data we use here is Mackey-Glass chaotic time series. We also use MATLAB software to predict the time series data, which have been divided into four groups of input-output pairs. These groups then will be used as the input variables of the fuzzy logic system. There are two scenarios been used in this paper, first is by using seven fuzzy sets, and second is by using fifteen fuzzy sets. The result shows that the fuzzy system with fifteen fuzzy sets give a better forecasting result than the fuzzy system with seven fuzzy sets. Index Terms—forecasting, fuzzy logic, Mackey-Glass chaotic, MATLAB, time series analysis

IMPROVING EIGENSPACE-BASED FUZZY LOGIC SYSTEM USING A LINEAR INTERPOLATION SCHEME FOR SPEECH PATTERN RECOGNITION

2013 ◽  
Vol 37 (3) ◽  
pp. 611-620
Author(s):  
Ing-Jr Ding ◽  
Chih-Ta Yen
Keyword(s):  
Pattern Recognition ◽  
Fuzzy Logic ◽  
Recognition Performance ◽  
Linear Interpolation ◽  
Fuzzy Logic System ◽  
Interpolation Scheme ◽  
Speech Pattern ◽  
Eigen Value ◽  
Target Speaker ◽  
Logic System

The Eigen-FLS approach using an eigenspace-based scheme for fast fuzzy logic system (FLS) establishments has been attempted successfully in speech pattern recognition. However, speech pattern recognition by Eigen-FLS will still encounter a dissatisfactory recognition performance when the collected data for eigen value calculations of the FLS eigenspace is scarce. To tackle this issue, this paper proposes two improved-versioned Eigen-FLS methods, incremental MLED Eigen-FLS and EigenMLLR-like Eigen-FLS, both of which use a linear interpolation scheme for properly adjusting the target speaker’s Eigen-FLS model derived from an FLS eigenspace. Developed incremental MLED Eigen-FLS and EigenMLLR-like Eigen-FLS are superior to conventional Eigen-FLS especially in the situation of insufficient data from the target speaker.

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