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The price fluctuations of the stock market are relevant for any economy. A method to construct an expert system that predicts the stock prices evolution is proposed. The Expert's rules are modeled by Fuzzy Logic Enhanced Time Petri Net (FLETPN). This model guides the inference rules to get the answers related to the market evolution. The model is capable of describing the periodic behavior as well...
The main idea of this paper is to develop an intelligent decision support system for decision support of green energy producers, anxious to participate to liberalized energy market. The international and national context is very favorable for the problematic discussed. It is represented by the new European Union strategies who promote: the green technologies and the methods for their integration into...
In this paper the results of linguistic variables presentation: “Importance of job” and “Time of job”, which are basis of data input and processing modules in information systems of professional activity analysis and estimation are given.
This paper presents a systematic view of the main issues associated with information modeling of oil and gas objects. There was done a detailed analysis for the sources of information describing oil and gas objects in the form of data models and knowledge's, especially from the standpoint of intelligible systems.
The work identifies the problem of comparing the analysis results of automated power metering system data produced by using a variety of mathematical, statistical and intelligent methods. Today, operators of such systems analyzing the charts of energy consumption independently decide on inspection of electrical power facilities. With the proliferation of such systems in the household sector, this...
With the flourish of online education and distance learning, it's become very important to make the evaluation in e-learning scientifically and objectively. This paper presents an intelligent fuzzy evaluation system based on our innovative evaluation method where management rules made by the experts are used to help, optimize and decide. On this basis, we develop an evaluation method and algorithm...
A hybrid intelligent model for linking social media with open innovation strategies, processes and diffusion is proposed and discussed in this paper. In order to deal with the various facets or properties of the open innovation problem, we recommend and present a new paradigm and framework for integrating the strengths or advantages of intelligent software agents, fuzzy logic, expert systems, complex...
Psychiatric disorders are mental conditions affecting emotional, cognitive, affective and behavioral states and causing impairment and suffering. The early and accurate diagnosis of such disorders is crucial for recovery and improvement. Artificial Intelligence is extremely implicated in medical and clinical fields bringing efficient results and solutions. This paper introduces a psychiatric pre-diagnosis...
Since Alzheimer's Disease (AD) has a huge socio-economic impact, attempts to reduce this impact are being searched. However, studies on AD have shown that the fight against this disease requires a great effort of several actors who should contribute to the success of the patient care process. As computer scientists, we aim to contribute to this fight by assisting the decision-makers in the AD domain...
This paper present a decision support system based on new Multi-Criteria Decision Making-Method. This MCDM is applied to models the selection of a Renewable Energy Plant Project (REPP) as a Multi-Criteria Decision Making (MCDM) problem. The presented approach is based on the combination of the Multi-criteria K-Means algorithm, the preference function and the satisfactory theory. Before the use of...
Technological development resulted in increased complexity in both industrial machinery and production systems. The modern industry is increasingly demanded to work at high reliability, low environmental risks, and increased human safety while operating their processes at maximum yield. Therefore, prevention of failures and early detection of incipient machine and systems problems increases the useful...
In present global scenario the competition among business organizations increases exponentially and hence they are forced to follow supply chain management. Customer satisfaction is the prime criteria to maintain the organization's profit in a supply chain. An important aspect of supply chain management is the supplier management. The supplier management includes supplier evaluation, selection and...
Literature illustrates the difficulties in obtaining the lowest-cost optimal solution to an ore blending problem for blast furnaces by using the traditional trial-and-error method in iron and steel enterprises. To solve this problem, we developed a cost optimization model which we have implemented in a multi-role-based decision support system (DSS). On the basis of analyzing the business flow and...
In this paper, the capabilities of grinding expert systems for intelligent construction of knowledge base and data mining during feature digitizing process from grinding expert experience models, have been investigated. Also, design, implementation and test of this expert system for a grinding example in order to take advantages of capabilities of data mining technology constructing the knowledge...
As concerning the problems of intelligent construction existed in the decision support system (DSS) model, one construction plan and one system structure of intelligent construction of DSS model based on integration of neural network (NN) and expert system (ES) are presented. On the basis of separating the literal description and the data description, ES was applied to select the model type. On the...
The system is specialized for pulmonary physicians focusing on tuberculosis and for patients already diagnosed with tuberculosis. The main focus for the development of the system is on the architecture and algorithm used to find the probable class of tuberculosis a patient may have. The class of tuberculosis is determined by using a rule base populated by rules made for the different classes of tuberculosis...
The principle of substation's voltage and reactive power controller (VQC) is analyzed firstly. The regulating policy is provided on different control zone of voltage and reactive power. A design for substation's voltage and reactive power control based on expert system is proposed. By fully using the real time and historical data, abundant strategies for voltage and reactive power control, the automatic...
Based on systematical analysis of the research situation and existing problems about comprehensive utilization of tailings and waste rocks in China and abroad, this paper put forward to establish an intelligent decision support system for the comprehensive utilization of tailings and waste rocks. The idea was implemented and the system was built by combining engineering practice of comprehensive utilization...
Incorporating knowledge from domain expert to a classifier is one of the techniques which require to be considered in solving imbalanced dataset problems. In this study, the proposed technique is a development to extend the process for imbalanced dataset where the individual classification system has already been designed for balanced data set. This paper introduces a methodology and preliminary results...
By analyzing the manual establishment process of the coal mine extraction-tunneling plans, the experiences and knowledge are obtained, and the knowledge sets of the coal mine extraction-tunneling plans are formed, then the technical and economic models are built. Combining the decision support system with the expert system, the advantages of quantitative calculation of the decision support system...
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