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Modern approaches to the creation of expert systems were considered. Also, the main prospects for the development of expert systems that work on the basis of neural networks were considered.
There are presented the results of the research of the efficiency of multi-agent management of voltage mode in electric grids, diagrams of power delivery of power stations. In the structure of devices for voltage regulation in a controllable area, there was considered the use of the normalizer of AC voltage, in particular as the means of emergency control, controlling the stability of motoring load...
As part of a larger research project, this study addresses issues of risk-based decision-making based on different decision-makers in carbon resource planning for manufacturers under the constraints of C&T, we specify their characterization of behavior, attitude to the C&T program, and design their rule-based expert system (RBS) respectively. we develop discrete-event simulation models for...
In the design and synthesis of control systems in industrial companies, we have to face lots of unexpected problems caused by interactions between control systems with human operators (automated control systems) and control systems with no human operators (automatic control systems). While there are plenty of recommendations for design, synthesis and optimization of automatic control systems, in case...
This conceptual paper argues that knowledge involves individual and social construction. As such, knowledge is more often than not subjective and inter-subjective. Furthermore, a specific form of constructed knowledge (known as collective tacit knowledge) can only be attained across social immersion and engagement. Paradoxically, it is through this subjective contextualisation of knowledge that we...
Nowadays, Small and Medium Enterprises (SMEs) that hold a better competitive position have adopted technology as their key element to become competitive in a globalized market. In Mexico, 72% of the employment of the country and 52% of the GDP comes from SMEs. The importance of keeping alive and working such entities is crucial for the country and one key element is related to their first years. The...
Risk handling and evaluation plays an importantrole in optimizing an investment portfolio. This paper's goal isto describe a system that determines, classifies and handles riskassociated to any type of investment based on sentiment analysis, price movement, information related to companies, certain characteristics, the traders confidence level, and by measuring thepotential loss over a certain period...
Keeping Information Systems (IS) aligned with the corporations' strategy plan is a controversial issue. The aim of this paper is to prepare an expert system based on intelligent softbots and prepare and propose a portfolio of IS that has the maximum alignment with the strategy plan. Attaining such an issue, an expert system, which emerges through the implementation of a credible methodology, is proposed...
All Cloud computing standards are dependent upon checklist methodology to implement and then audit the alignment of a company or an operation with the standards that have been set. An investigation of the use of checklists in other academic areas has shown there to be significant weaknesses in the checklist solution to both implementation and audit, these weaknesses will only be exacerbated by the...
This paper takes a practical case study approach to demonstrate the genetic algorithm (GA)'s ability to help purchasing manager in making a better decision on procurement of products or materials. The GA implemented in the supplier selection function aims to allow purchasing managers to get better decisions in choosing the appropriate suppliers by choosing the appropriate products under various contextual...
Viewing the role of senior managers in organizations, the human resource managers suffer from the lack of hands-on tools for the performance evaluation of senior managers. This study reports the design of expert systems for senior managers' performance evaluation. Different from the normal information systems for employee performance appraisal, several modular components for this special case are...
Inference Engines are software that derive conclusions out of existing data and also fire actions if the activity trend gets a match within existing knowledge base. Inference engines hence are capable of taking decisions based on their heuristics and learning. This fact can be harnessed into developing intelligent software systems which their accuracy with time and become more dexterous in handling...
Customer Relationship Management (CRM) is a widespread strategy and process of identifying, retaining and associating selective customers in order to sustain their relationship with the organization. By the application of CRM, greater efficacy and effectiveness in delivering strategies could be achieved. To support CRM in retail sector, many data mining techniques are applied in identifying, attracting,...
This paper presents a rule-based expert system which is an extension of an ERP system of a fashion company. The fashion company needs a system for analyzing sales reports from mobile devices in many locations. An expert system is suggested, which can work with the company's ERP system. The expert system analyzes sales data and supports decision making strategy on the data. Rules in the proposed expert...
As the global competition is growing increasingly, it is essential for firms to remain competitive and respond to the rapidly changing. In this case, firms need to establish an effective supply chain management in which supplier selection is one of the most critical activities required to be performed. Supplier selection problem is considered as a multiple-criteria decision making (MCDM) problem including...
Supplier selection is crucial as it involves in-depth research process whereby multiple criteria should be considered. With the rising cost of raw materials and products, the management is forced to make better choices when selecting supplier. This paper proposed a fuzzy evaluation technique by using fuzzy linguistic terms in selecting the best IT supplier based on certain criteria. Fuzzy grade matrices...
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...
This paper presents a methodology and a specialist tool for failure probability analysis of induction type watt-hour meters, considering the main variables related to their measurement degradation processes. The database of the metering park of a distribution company, named Elektro Electricity and Services Co., was used for determining the most relevant variables and to feed the data in the software...
In this paper, based on financial report analysis, a multi-criteria decision-making approach for supporting decision is presented. There are five companies are evaluated by proposed method. Fuzzy AHP (Analytic Hierarchy Process) is utilized to evaluate weights of criteria for selecting company and fuzzy TOPSIS (technique for order preference by similarity to ideal solution) is used to determine the...
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