The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The need to improve the quality of management at minimum costs, the complexity of the structure of the management object, the functions performed by it, leads to an increase in uncertainties that need to be taken into account. The use of fuzzy logic to control pumping equipment will reduce the likelihood of erroneous decisions, which will increase the life of technological equipment.
Automatic Speaker Recognition Systems (ASRSs) are being used in forensic investigations to help experts to appreciate the measure of confidence related to real vocal comparison cases. Accuracy is an important aspect in such kind of applications where the existing recognition approaches are known to be sensitive to recording conditions mismatch, the utterances lengths mismatch, and the linguistic variation...
The purpose presents the algorithm for software implementation of the expert system block to perform diagnostics and update the parameters of complex technical systems, operating in changing conditions when external factors assessment is presented in the form of fuzzy expert information. The block is intended to input, analyze, and update the expert knowledge, on the basis of which a fuzzy logic inference...
Hydro Power Plant site selection depends on a set of qualitative and quantitative criteria, which are vague in nature. In recent years the problem of site selection in an imprecise environment has gained overriding interest and importance. To address this issues of uncertainty, we propose a Multi Criteria Decision Support System which uses Neuro-Fuzzy computational approach for optimal ranking of...
In this paper, a T-S fuzzy model of helicopter transition and hover is established as the dynamic characteristics of the helicopter vary with decline of height and decrease of speed. Based on the performance index requirement of automatic transition and hover, the pole assignment method is used to determine the feedback control parameters and regulating controller in full envelope of the automatic...
This paper describes an approach to constructing sentiment lexicons in the financial domain. The approach takes advantages of news headlines and a given financial variable, such as stock prices, so as to generate candidates of sentiment expressions by fusing the two data resources. The candidates are then filtered based on their co-occurrences with financial seed words and are subsequently expanded...
Deep Neural Networks(DNNs) outperform previous works in many fields such as in natural language processing. Neural Machine Translation(NMT) also outperforms Statistical Machine Translation(SMT) which has complex features and rules. However, NMT requires a large corpus and a long calculation time. In order to suppress calculation cost, recent researches replaced low frequency words with symbols. However,...
Effective decision making is the fundamental factor for the appropriate operation of any system. Several methods have been developed in recent years, and Fuzzy Cognitive Maps (FCMs) is one of them. Basics of FCMs are briefly presented. They have been used in a variety of applications with a very good degree of success. All these years some of their drawbacks have been detected and discussed by several...
Enterprise Modeling Languages (EMLs) are generally perceived as conceptual modeling languages having a formal syntax and informal semantics. The non-formality of semantics is mainly caused by the materiality of the addressed domain (enterprises and its related aspects) and the resulting personal interpretation of syntactical constructs. However, EMLs may also explicitly define invariant interpretations...
The paper discusses possibility of applying the fuzzy modeling of efficiency of fuel and energy resource use at the regional level. The main problems that inevitably arise at study of regional power supply systems with standard mathematical methods designed for processing quantitative data are indicated. The causes of the problems including uncertain initial data are mentioned. Fuzzy models are proved...
This paper presents the fuzzy mathematical model of transfer criteria of distribution network to 20 kV voltage by analyzing the parameters of the distribution network. The model used for the rapid analysis of priority network licensees to determine the order of their funding. As the basis of the synthesized criteria model was accepted a linguistic definition of priority transfer distribution network...
Formalized definition of the concept of «model» is proposed, a brief analysis of the existing approaches in the classification of systems' models is represented, due to the concept of models' classification based on methods of modeling. Approaches and methods of modeling and the structure of proposed classification are described. Methods presented are divided in methods for formalization of presentation...
Despite the fact that for the first time odd sets were mentioned in 1965, the theory of fuzzy sets does not lose its relevance. The fact that their values are combined into an infinite set allows more detailed description of the models and obtaining accurate data. The theory of fuzzy sets gives a lot of scope for creativity both in operator activity, namely in writing rules for logical-linguistic...
Employee performance appraisal is vital activity that contributes to the competitiveness of the organization in its business domain. The appraisal criteria often chosen are primarily in qualitative nature, though there can be instances that associate with matric. Latest methods of evaluating employees use rating scale; however, it is incapable of providing real time performance feedback, in particular...
The main purpose of the research is development of methodology of a statistical investigation of effective management of Russian power engineering enterprises production assets which is realized on the basis of artificial intelligence methods to create information analysis systems of the analysis of technological risks of new generation. Mathematical modeling was the research method used in experimental...
An expert system (ES) is a computer system that emulates the decision-making ability of a human expert. And it is designed to solve complex problems by reasoning about knowledge, represented primarily as IF-THEN rules. However, the control accuracy is determined by the complexity of the IF-THEN rules, which are designed according to the practical operating experiences. The higher the control accuracy,...
One of the most critical decision points in collaborative product development is final design concept selection. This crucial stage is considered as a complicated multi-criteria decision-making problem which affects not only the subsequent design stages but the whole product lifecycle and supply chain. In fact, in addition to the fact that it is a knowledge intensive based phase, the information manipulated...
When some agents in the supply chain are failure, the whole supply chain may be influenced. This paper presents a framework for identifying vulnerable agents in supply chain network. The framework consists of three main components: supply chain dynamic network, risk transmission model, and identifying vulnerable nodes. The supply chain dynamic network component consists of constructing the supply...
In this paper, DC motor speed is controlled using PID controller and fuzzy logic controller. PID controller requires a mathematical model of the system while fuzzy logic controller base on experience via rule-based knowledge. Design of fuzzy logic controller requires many design decisions, for example rule base and fuzzification. The FLC has two input, one of these inputs is the speed error and the...
Defects uncovered during software testing usually consume a considerable amount of the overall project's budget. Unfortunately, project managers are not well-equipped with techniques to estimate such cost overrun. Moreover, incorporating defects removal process as part of the software testing activities has made the project managers overlook this important cost component during their planning processes...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.