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Aiming at the optimal scheduling problem of byproduct gas system in steel industry, a knowledge and mathematical programming-based optimal scheduling method is proposed in this study. On one hand, a fuzzy model is designed to extract the expert scheduling knowledge from the historical data of the industrial process. And then, a great deal of scheduling knowledge is employed to compose a fuzzy rules...
With the Big data under the background of artificial intelligence --AI is increasingly popular, the core role of knowledge base system experts in the increasingly emerge, but whether the automatic driving or artificial recognition need to deal with a lot of expert knowledge data AI, and the expert knowledge not only is fuzzy, and has dynamic. This paper from a new perspective, a comprehensive interpretation...
Environment detection is important task for an autonomous robot. Obstacle avoidance is a must when the robot do indoor activity. I this case robot movement is done in corridors and rooms, which is similar to a maze. Distance from the walls can be sensed with different sensors, in the experiment infra-red sensors were used. There are several methods for obstacle detection and calculating the distance...
Classification is one of the most popular tasks of machine learning, which has been involved in broad applications in practice, such as decision making, sentiment analysis and pattern recognition. It involves the assignment of a class/label to an instance and is based on the assumption that each instance can only belong to one class. This assumption does not hold, especially for indexing problems...
Sentiment analysis, which is also known as opinion mining, aims to recognise the attitude or emotion of people through natural language processing, text analysis and computational linguistics. In recent years, many studies have focused on sentiment classification in the context of machine learning, e.g. to identify that a sentiment is positive or negative. In particular, the bag-of-words method has...
Key form features are relative to the style of product, and the expression on style features depicts the product description and is a measurement of attribute knowledge. The uncertainty definition leads to an improved and effective product style retrieval when combined with fuzzy sets. First, a style knowledge and features database are constructed using fuzzy case-based reasoning technology; a similarity...
Ad-hoc networks, as well as many wireless networks and wired networks applied here to do and the proper function of routing data packets forwarding, maintenance and update routing information, the security need. Mobile ad hoc networks due to the special properties of operations and placement of often unstructured meshes, or self-organizing ad-hoc networks are known. In these networks in order to extend...
One of the prospective directions to improving the quality of decision-making in the energy system with renewable energy sources (RES) is development and implementation of automation systems based on intelligent algorithms using historical data about energy consumption and power generation. Similar solutions in addition to reducing the load on the ecology, allow to obtain a significant economic effect...
Classification systems based on Fuzzy Logic are of particular importance in the ambit of cognitive systems, due to their ability of managing uncertainty and presenting interpretable knowledge bases by emulating human cognition processes. However, the notion of interpretability is not yet exhaustively defined. In this work, the properties assessing the interpretability of a fuzzy classifier are discussed,...
In the area of computational intelligence as like Artificial Neural Networks (ANNs) or Fuzzy logic have been used for the construction of an effective and reliable system in order to solve a real world problem where appropriate outcome along with certainty as well as precision are highly required. In this article, we present an integrated approach based on a fast elitist non-dominated sorting genetic...
Defined technique of control system model design with fuzzy logic controller. Presented simulation modeling results of the system with fuzzy logic controller. The input and output linguistic variables term-set accessory functions are obtained. The input and output variables correlation is determined as rule base. The visualization of the fuzzy interface surface is achieved.
From a wide variety of applications in the areas of engineering and financial sector, Fuzzy logic techniques has a potential to model academic performance evaluation too. Manual errors in student evaluation can affect their present and future opportunities, so there arises a need to develop a model that can help teachers to fairly evaluate student's performance. This article presents an improved solution...
The control level in bins and effective rate of discharge is very complex as there are many dynamic variables such as time of discharge cycle, speed of feeders, physical characteristics and chemical composition of the ore. This work addresses two variables to apply fuzzy logic, which are: “The level of material in the car dumper silos;” The effective rate of discharge. The ideal discharge occurs when...
The paper presents the structure of decision support system for electrical grid equipment operation on the base of its state assessment based on aggregated available data concerning object of research by means of neuro fuzzy inference. Technical state assessment of both separate elements, notably electrical equipment (based on fuzzy logics methods) and integrated consolidated objects (by means of...
Intelligent Systems Theories and Applications - SITA is a major international scientific event organized in order to present, discuss and disseminate the theories and applications of intelligent systems. It is the result of fruitful cooperation between many universities and institutions. This conference brings together leading scientists, researchers and academics in Intelligent Systems from around...
Use of power electronic converters with nonlinear loads produces harmonic currents and reactive power. An active power filter will only provide the solution for these two problems by giving the compensating current to the supply time to time. However, the shunt active power filter with PI type of controller is suitable only for a given load. If the load is varying, the proportional and integral gains...
This article describes the methods of decision making on the basis of constructing and justifying the fuzzy inference mechanism. This problem is relevant because it has wide practical application. In the paper the basic model of fuzzy inference methods Mamdani, Sugeno, Larsen, Tsukamoto. Also described a method of selection decisions based on the truth of the rules of modus ponens. In this paper,...
This work proposes a method for representing human emotions, in the context of musical composition, which then will be used to artificially generate musical melodies through Fuzzy Logic. A real-time prototype system, for Human-Machine Musical Compositions, was also implemented to test this approach, using the emotional intentions captured from a human musician and later used to artificially compose...
A method of predicting illegal activities in the area of responsibility of State Border seized areas using fuzzy logic is developed. The novelty of the technique is that the author proposed fuzzy model tuning procedures using immune optimization algorithms and determine the parameters of input variables. Using this technique makes it possible to take into consideration during the forecasting quality...
Activity recognition is an important task which can be applied to many real-life problems in pervasive computing. In this work, we propose concurrent activities recognition system based on two layers of inference. The first layer develops a framework for dealing with fusion system through merging different sources of information using evidence theory. The second layer proposes a decision framework...
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