Abstract: The following article deals with customer personality in the CRM systems. Its innovatory approach consists in the method of segmentation performed according to one of psychological factors - personality. The analysis is based on the assumption that the class of customers can be divided into separate types. This is possible due to the preservation of a large internal homogeneity within every type (homogeneous groups) and a considerable differentiation among types. The article argues that the classification of customers should be based on the criterion which has an essential influence on their behavior. Such a criterion is the customer personality. Accordingly, this division can make up a good basis for the CRM strategy: 1) the elaboration of several diverse scripts of the customers service suitably to distinguished groups; 2) the individualization of the service. It can be concluded that such a modeling will allow to supplement the CRM programmes with a module of an individual and institutional customers practical service.

Keywords: CRM, customer’s personality, information model.

ACM Classification Keywords: K.6 Management of Computing and Information Systems - K.6.0 General Economics

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INFORMATION MODELS OF CUSTOMERS IN CRM AND E-CRM SYSTEMS

Justyna Stasieńko

http://foibg.com/ibs_isc/ibs-13/ibs-13-p25.pdf

Abstract: in this paper the implementation of Data Warehouse SAP BW in the Production Company is presented. A data warehouse is designed for efficient query processing. The technical environment and data structures are optimized for answering business questions. Data warehouse is stored persistently by time over a particular time period. Users can use comprehensive analysis tools to access data. We will try to answer the question how to implement the SAP Business Warehouse in a company

Keywords: information system, data warehouse, business intelligence, data mining

ACM Classification Keywords: H. information system

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IMPLEMENTATION OF DATA WAREHOUSE SAP BW IN THE PRODUCTION COMPANY

Maria Kowal, Galina Setlak

http://foibg.com/ibs_isc/ibs-13/ibs-13-p24.pdf

Abstract: In this paper we study the problem of multi-item capacitated lot-sizing from the point of commercial enterprises. We consider profit as the main criteria. This dynamic problem belongs to the class of discrete optimization and contains boolean variables, algorithmic objective function, where various types of constraints such as analytical functions, algorithmic and simulation models can be used. We present model and direct search algorithm that consists of an intelligent iterative search and upper bound set construction, and allows finding exact solution in reasonable time. We carry out computational investigation and solve a real task with using developed computational tool to show the efficiency and practical application of the proposed model and algorithm.

Keywords: direct search; discrete optimization; upper bound; production planning; multi-item capacitated lotsizing; profit maximization

ACM Classification Keywords: G.1.6 Optimization; J.0 Computer Applications

Link:

APPLICATION OF DISCRETE OPTIMIZATION IN SOLVING A PROBLEM OF MULTI-ITEM CAPACITATED LOT-SIZING WITH ECONOMIC OBJECTIVES

Igor Kononenko, Igor Protasov

http://foibg.com/ibs_isc/ibs-13/ibs-13-p23.pdf

Abstract: The most rational mode of communication between intelligent robot and human-operator is bilateral speech dialogue using a problem-oriented language. The dialogue mode of control raises the problem of compliance between the human and robot perception of external world, logic, behavior planning and decision making. We suppose that linguistic variables and fuzzy logic is the most suitable approach for the mentioned problems. The model of the world formed on the base of natural space-time relations allows formulating the basic robot operations in terms of linguistic variables and to solve the problem of planning of robot behavior in previously undetermined environment. Using the fuzzy neural networks it is possible to train robot to fulfill complicated operations by human-operator. Relationship between fuzzy logic approach and the procedures of speech recognition are also under consideration

Keywords: mobile robot, fuzzy logic, human operator, remote control, artificial intelligence, operation planning, robot learning

Link:

ROBOT CONTROL VIA DIALOGUE

Arkady Yuschenko

http://foibg.com/ibs_isc/ibs-13/ibs-13-p22.pdf

Abstract: The flexibility, customization and localization offered by computer integrated manufacturings are attractive but generate a new class of management problems. Intelligent support systems are needed for the managing: planning, implementation, configuring and operating of intelligence manufacturing systems. This paper presents a project of intelligent system for assembly process planning. The paper includes a coincidence description of the chosen aspects of implementation of this intelligent system using technologies of artificial intelligence (neural networks, fuzzy logic, expert systems, neuro-fuzzy systems).

Keywords: Artificial intelligence, flexible assembly systems, neural networks, fuzzy logic, group technology formatting rules.

ACM Classification Keywords: I. Computing Methodologies, I.2 Artificial Intelligence, J. Computer Applications, J.6.Computer Aided Engineering

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INTELLIGENT SYSTEM FOR ASSEMBLY PROCESS PLANNING

Galina Setlak, Tomasz Kożak, Monika Piróg-Mazur?, Wioletta Szajnar

http://foibg.com/ibs_isc/ibs-13/ibs-13-p21.pdf

Abstract: In this paper a concept of designing and building intelligent decision support systems in production management is introduced. The new approach to the design of intelligent management systems is proposed based on integration of artificial intelligence technologies (fuzzy logic, artificial neural networks, expert systems and genetic algorithms) with exact methods and models of decisions search and simulation techniques. The proposed approach allows for creating intelligent decision support systems of complex, unstructured management problems in fuzzy conditions. The systems learn based on accumulated data and adapt to changes in operation conditions.

Keywords: artificial neural networks, fuzzy inference systems, classification, decision support system, intelligent manufacturing systems

ACM Classification Keywords: I. Computing Methodologies, I.2 Artificial Intelligence, J. Computer Applications J.6 Computer-Aided? Engineering

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DESIGN CONCEPT OF INTELLIGENT MANAGEMENT SYSTEMS

Galina Setlak, Sławomir Pieczonka

http://foibg.com/ibs_isc/ibs-13/ibs-13-p20.pdf

Abstract: The problem of development and application of the multiagent techniques for organizing mobile exploring agents' cooperative behavior is examined. The main problems related to design and operating of distributed decentralized homogeneous multi-agent systems with restricted local interaction between agents are analyzed. A number of collective behavior models (algorithmic, interpolational, entropic), which discover the problems of distributed decentralized exploration are proposed.

Keywords: multi-agent systems, distributed autonomous explorations, self-organization.

ACM Classification Keywords: I.2.11 Distributed Artificial Intelligence

Link:

APPLYING THE CONCEPTS OF MULTI-AGENT APPROACH TO THE DISTRIBUTED AUTONOMOUS EXPLORATIONS

Vadim Golembo, Alexey Botchkaryov

Abstract: Companies applying information, communication technologies and computer simulation modeling tools are paying more and more attention to the ability to adaptive and hybrid architectures when building and developing information infrastructure. This paper studies an approach to forming an external information infrastructure for a company with a developed clientele by joining opportunities of CRM (Customer Relationship Management Systems) technologies and intelligent agents. Companies can succeed in carrying out their development strategies by following modern trends, adding intellectual information tools to CRM systems and creating an adaptive hybrid for external infrastructure based on the multi-agent approach.

Keywords: Modeling, Multi-Agent? systems, Management, Customer Relationship Management systems.

ACM Classification Keywords: K. Computing Milieux - K.6 Management of Computing and Information Systems – K.6.4 System Management – Centralization/Decentralization

Link:

THE ROLE OF MULTI-AGENT APPROACH IN BUILDING INFORMATION INFRASTRUCTURE FOR A MODERN COMPANY AND CARRYING OUT MANAGEMENT TASKS

Elena Serova

http://foibg.com/ibs_isc/ibs-13/ibs-13-p18.pdf

Abstract: Motivated by the works that reveal the small-world effect and scale-free property of various real-life networks, many scientists devote themselves into studying complex networks. One of the ultimate goals is to understand how the topological structures of networks affect the dynamics upon them. In this paper, we give a brief review on the studies of agent technology appliances for Web mining which is performed in complex network environment ruled by non-extensive thermodynamics.

Keywords: non-extensive thermodynamics; web mining; complex networks; multi-agent technology.

ACM Classification Keywords: I.2.11 Distributed Artificial Intelligence - Multiagent systems

Link:

AGENT TECHNOLOGIES FOR WEB MINING FROM A NON-EXTENSIVE THERMODYNAMICS PERSPECTIVE

Franciszek Grabowski, Marek Zarychta, Przemysław Hawro

http://foibg.com/ibs_isc/ibs-13/ibs-13-p17.pdf

Abstract: The main goal of the paper is to convince that agent orientation may be considered as a powerful paradigm for organization modeling and the reference architecture for Management Information Systems, that if properly applied, would lead to firm’s overall performance improvement. The scenario of proving these theses consists of three steps. Firstly the basic concepts of agency have been defined. Then the agent and multi-agent system are presented as playing the roles of very natural and intuitive modeling constructs and complexity management tools. Finally the benefits of agent oriented software application are described from the perspective of gaining competitive advantage by improving intra- and interorganizational efficiency due to basic characteristics of agents such as constant monitoring of the environment (where they are situated), reactivity, proactiveness and social ability.

Keywords: Software Agent, Intelligent Agent, Agent Oriented Approach, Organization Modeling, Multi-agent System, Complexity Management, Business Performance Improvement, Supply Chain, Demand Chain, Management Information Management System

ACM Classification Keywords: I. Computing Methodologies; I.2 Artificial IOntelligence I.2.11 Distributed Artificial Intelligence; Multiagent systems

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AGENT ORIENTATION AS A TOOLBOX FOR ORGANIZATIONAL MODELING AND PERFORMANCE IMPROVEMENT

Jacek Jakieła, Bartosz Pomianek

http://foibg.com/ibs_isc/ibs-13/ibs-13-p16.pdf

Abstract: One of the basic engineering problems of the automatic control systems synthesis for steam turbines is systems quality indices optimization task. The features of such task are defined by plenty of control systems structural parameters, complication of quality indices formalization and calculation, the systems models high order. The greatest difficulty of the control system synthesis is optimization models and methods design. The paper purpose is to develop models and methods for optimum design of the intelligent automatic control systems of atomic power station steam turbine using genetic algorithms. The steam turbine automatic control system is applied to stabilize turbine rotor frequency with high precision. The intelligent steam turbine control system includes a steam turbine, frequency sensor, intelligent frequency regulator, electro-hydraulic automatic drive and turbine adjusting valve. Input signals on an automatic drive can be given by the steam pressure regulator through the turbine management mechanism or by the electric power regulator. Assumptions substantiated to model the automatic control system and automatic drive as executive link of control system. The automatic drive diagram of principle includes electro-hydraulic transformer, sleeve valve, servomotor, position sensors and electronic part. In the paper were built the mathematical models of automatic drive and steam turbine, the models permanent parameters values were calculated, the mathematical models of the automatic control system were developed in state space with the intelligent frequency regulator, the regulator parameters were optimized with system quality indices using genetic algorithms.

Keywords: automatic control system, automatic drive, steam turbine, intelligent regulator, genetic algorithms.

ACM Classification Keywords: G.1.6 Optimization - Nonlinear programming

Link:

OPTIMAL DESIGN OF INTELLIGENT CONTROL SYSTEMS OF STEAM TURBINE USING GENETIC ALGORITHMS

Khrystyna Fedyanyna, Ievgeniia Kucher, Valery Severin

http://foibg.com/ibs_isc/ibs-13/ibs-13-p15.pdf

Abstract: The paper is devoted to the development of a perspective concept of atomic station power block intelligent automatic control systems synthesis on the basis of mathematical models and numeric methods of vector optimization of systems quality indexes using genetic algorithms. The methods for calculation of direct quality indexes and improved integral quadratic estimates have been created. The step-by-step principle of transition to the domain of system stability has been based. There have also been suggested vector objective functions including stability conditions and taking into consideration quality indexes priorities. The reliable genetic algorithms for vector objective functions optimization have been suggested. Mathematical models in the state space for intelligent automatic control systems of nuclear reactor and steam generator have been worked out. The quality indexes optimization of power block intelligent control systems has been carried out, which allowed to estimate various controller types efficiency.

Keywords: automatic systems, intelligent control, optimal synthesis, nuclear reactor, steam generator, genetic algorithms.

ACM Classification Keywords: G.1.6 Optimization - Nonlinear programming

Link:

OPTIMAL SYNTHESIS OF INTELLIGENT CONTROL SYSTEMS OF ATOMIC POWER STATION USING GENETIC ALGORITHMS

Seyed Mojtaba Jafari Henjani, Valery Severin

http://foibg.com/ibs_isc/ibs-13/ibs-13-p14.pdf

Abstract: Methods for calculation of quality indexes for automatic control systems are presented. For the optimization of quality indexes defined only in a stability domain a vector objective function of varied parameters of the system is proposed. The stepwise principle of successive satisfaction of constraints for the passage into the definition domain of quality indexes is considered, as well as a rational mechanism of its realization in the form of the priority optimization of the vector objective function. For the optimization of the vector objective functions genetic algorithms as vector optimization methods are presented. Their application allows one to steer the optimization process from any initial point of the space of varied parameters into the stability domain of the system and to find the optimum of the quality indexes in this domain. The efficiency of the proposed application of vector genetic algorithms for the quality indexes optimization is confirmed by computational experiments.

Keywords: genetic algorithms, vector optimization methods, automatic control systems, quality indexes.

ACM Classification Keywords: G.1.6 Optimization - Nonlinear programming

Link:

APPLICATION OF GENETIC ALGORITHMS TO VECTOR OPTIMIZATION OF THE AUTOMATIC CONTROL SYSTEMS

Valery Severin

http://foibg.com/ibs_isc/ibs-13/ibs-13-p13.pdf

Abstract: The article presents proposition of the assist pilot system. The system helps pilot with correct decision of cross country flights. Presentation of specially calculated information stored by the system delivered to pilot could help him with his decision about correct directions of crossing.

Keywords: Knowlage base, Data mining

ACM Classification Keywords: E. Data, E.5 Files, E.5.6. Sorting/searching

Link:

THERMALS MAP – ASSIST FLIGHT SYSTEM

Arkadiusz Rzucidło

http://foibg.com/ibs_isc/ibs-13/ibs-13-p12.pdf

Abstract: The article is described architecture and functionality of development support system "OntoIntegrator” for NLP.

Keywords: Natural language processing, ontological models, program tools for NLP

ACM Classification Keywords: H.3.1.Information storage and retrieval: linguistic processing

Link:

THE DEVELOPMENT SUPPORT SYSTEM "ONTOINTEGRATOR" FOR LINGUISTIC APPLICATIONS

Olga Nevzorova, Vladimir Nevzorov

http://foibg.com/ibs_isc/ibs-13/ibs-13-p11.pdf

Abstract: It is known, that person’s thinking is inaccessible to studying by direct physical and psychological methods. In this case it is necessary to have indirect ones. Computers do not understand the psychological description and formalization of thinking mechanisms. Algebra logic analysis of natural language and person’s thinking plays an important role for development of logic mathematics and its applications in artificial intelligence. Only axiomatic method works in this situation. On the basis of axioms’ system we can propose an approach that helps to investigate the structure and properties of objects. The main problem of formal studying of a natural language is shortage of the mathematical apparatus. The axiomatic description of logic mathematics' objects requires preliminary realization of constructive logical tools, which subsequently become a subject of the axiomatic analysis. The paper is devoted the algebra of ideas to axiomatic construction. The carrier of this algebra is naturally interpreted as the set of intelligence ideas (thoughts, concepts and, in general, any subjective conditions of the person). There are devised some methods for application of proposed formal apparatus. Simultaneously with algebra of ideas formal introducing there is considered its intentional interpretation.

Keywords: a predicate, algebra of ideas, artificial intelligence, Cartesian set, algebra of predicates, algebra of single k-dimentional first order predicates.

ACM Classification Keywords: I.2 Artificial intelligence - Natural Language Processing

ALGEBRA LOGIC APPROACH TO PERSON’S THINKING MECHANISMS FORMALIZATION

Olga Kalinichenko

http://foibg.com/ibs_isc/ibs-13/ibs-13-p10.pdf

Abstract: Challenges of knowledge society, knowledge economics change models of management. Work trends, organisational structures are changing. Most of knowledge management processes one way or another are connected with main elements of information management: information technologies and information systems. Knowledge management is new branch of management, the main purpose of that is bigger effectiveness of business applying synergy of humans, processes and technologies. Knowledge management helps for employees single-mindedly to create, share, collect, keep and practice the knowledge. Fundamentals of knowledge management could be used for organisation of telework of disabled persons, solving economical problems of state. Knowledge management could help to increase productiveness of employees, expanding sources of reachable for them knowledge. Improving shapes of disabled persons’ education the very important is to pay attention at how educational knowledge is implemented practically. Knowledge management should encourage employees to integrate such educational processes together with their work methods and to apply results of educational processes in their daily activities. For purposeful and beneficial education there should be forecasted what knowledge is the most important. Authors of article analyses the application of knowledge management methods in structure of professional rehabilitation of disabled persons, organising telework of disabled persons. During such process new knowledge should be used not only by disabled persons, but both represents of governmental institutions and consultants.

Keywords: knowledge society, disabled persons, telework.

ACM Classification Keywords: K.4.3. Computers and society - Computer-supported collaborative work

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ORGANISATION OF DISABLED PERSONS’ TELEWORK AS PART OF PROCESS OF KNOWLEDGE MANAGEMENT

Tatjana Bilevičienė, Eglė Bilevičiūtė

http://foibg.com/ibs_isc/ibs-13/ibs-13-p09.pdf

Abstract: This work presents the using of the chosen neural networks for the data classification. The Statistic Neural Networks has been used for the rating. The neural networks have been successfully applied for building one decision support systems for solving managerial problem.

Keywords: artificial intelligence, neural networks, classification, decision support

ACM Classification Keywords: I. Computing Methodologies, I.2 Artificial Intelligence

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A NEURAL NETWORKS APPLICATION IN DECISION SUPPORT SYSTEM

Galina Setlak, Wioletta Szajnar, Leszek Kobyliński

http://foibg.com/ibs_isc/ibs-13/ibs-13-p08.pdf

Abstract: In this paper the review of applications of data mining is presented. The algorithm of the induction across decision trees that was proposed for classifying large set of data is described in the part 2 of the paper. A short characteristic of the proposed algorithm is included in the part 3. In the part 4 we present characteristics of R-environment and the implementation of the algorithm. The method of conducting the computational experiments and the obtained results are presented in the part 5. The last part of the paper contains conclusions and further perspectives.

Keywords: data mining, classification, critical defects, induction of decision trees formatting rules

ACM Classification Keywords: I. Computing Methodologies, I.2 Artificial Intelligence, J. Computer Applications J.6 Computer-aided engineering,

Link:

THE APPLICATION OF DATA MINING METHODS TO THE CLASSIFICATION OF FINISHED PRODUCTS

Monika Piróg-Mazur?, Galina Setlak, Wioletta Szajnar, Tomasz Kożak

http://foibg.com/ibs_isc/ibs-13/ibs-13-p07.pdf

Abstract: ARES System is an application dedicated to data analysis, data exploration and knowledge discovery. This versatile tool offers rough set based methodology as well as emerging patterns and Support Vector Machine algorithms to be applied to input data presented as an information system. Many analytical capabilities provided with an user-friendly, intuitive graphical interface and XML based support for input/output operations make ARES System a challenging and promising software for application in scientific research and didactic work. An unique feature of ARES System is its ability of identifying improper objects within information system by employing credibility coefficients. The credibility coefficients attempt to assess a degree of typicality of each object in respect to the whole information system.

Keywords: information system, classification, rough sets, emerging patterns, SVM, credibility coefficients.

ACM Classification Keywords: H.1.1 Systems and Information Theory

Link:

ARES SYSTEM - INTEGRATION OF ANALYSIS METHODOLOGIES

Roman Podraza, Mariusz Kalinowski

http://foibg.com/ibs_isc/ibs-13/ibs-13-p06.pdf

Abstract: Identification and prediction problem of nonlinear time-series generated by discrete dynamic system is considered via Kernel Method approach. A unified approach to recurrent kernel identification algorithms design is proposed. In such a way a recurrent modification of initial Kernel Method with growing windows is considered. In order to prevent the model complexity increasing under on-line identification, the reduced order model kernel method is proposed and proper recurrent identification algorithms are designed along with conventional regularization technique. Such an approach leads to a new type of Recursive Least-Square? Kernel Method identification algorithms. Finally, the recurrent version of Sliding Window Kernel Method is also developed along with suitable identification algorithms. The proposed algorithm has tracking properties and may be successfully used for on-line identification of nonlinear non-stationary time-series.

Keywords: identification, kernel methods, machine learning, nonlinear model, prediction, recurrent least-squares, support vector machine, time-series

ACM Classification Keywords: G. Mathematics of Computing: G.1 Numerical Analysis: Least squares approximation, nonlinear approximation, G.3 Probability and Statistics: Time series analysis

Link:

KERNEL-BASED METHODS FOR NON-STATIONARY TIME-SERIES IDENTIFICATION AND PREDICTION

Leonid Lyubchyk, Vladyslav Kolbasin

http://foibg.com/ibs_isc/ibs-13/ibs-13-p05.pdf

Abstract: The authors have undertaken a research task with a view to apply of evolutionary algorithms and artificial neural network to design of the course of a gas nitriding process, which guarantees to obtain the expected hardness profile in the nitrided layer. The gas nitriding process is widely used in industry in order to improve the functional properties of machine and tool parts. First of all, the artificial neural network was trained dependences between physical properties of steel and process parameters in relation to hardness profile, formed in gas nitriding process. Those data was collected experimentally. Such trained neural network was used as a mathematical model for the design approach of gas nitriding process. The aim of such designing was to predict the parameters of nitrinding industrial process, in which the required hardness profile of nitriding layer will be obtained. Prediction of manufactory conditions was realized with the help of evolutionary algorithms. In the approach developed, each chromosome includes encoded parameters of a single steel nitriding process. For each chromosome, a steel hardness profile related to it is determined by the model which is represented by neural network. On the further step, the chromosomes undergo a selection, a modification with the aid of crossing mutation operations and promotion to the next population. In this manner, by approach of a directed evolution of steel nitriding parameters, one is selected for which the hardness profile matches the best to profile sought.

Keywords: evolutionary algorithm, neural network, designing of nitriding process, nitriding layer, hardness profile, model, manufactory conditions prediction.

ACM Classification Keywords: D.2.2 Design Tools and Techniques - Evolutionary prototyping

Link:

THE APPLICATION OF ARTIFICIAL NEURAL NETWORKS AND EVOLUTIONARY ALGORITHM FOR THE DESIGNING OF GAS NITRIDING PROCESS

Mateusz Kosikowski, Zbigniew Suszyński, Roman Olik, Jerzy Ratajski, Tomasz Suszko

http://foibg.com/ibs_isc/ibs-13/ibs-13-p04.pdf

Abstract: New non-conventional system of the computational intelligence is proposed. It has growing structure similar to the Cascade-Correlation? Learning Architecture designed by S. E. Fahlman and C. Lebiere but differs from it in type of artificial neurons. Quadratic neurons are used as nodes in introduced architecture. These simple elements can be quickly adjusted using high-speed learning procedures. Proposed approach allows to reduce time required for weight coefficients adjustment and to decrease training dataset size in comparison with conventional neural networks. Also on-board realization of quadratic neuron is quite simple and therefore implementation of entire cascade architecture in hardware is very easy.

Keywords: artificial neural networks, constructive approach, quadratic neuron, real-time processing, online learning.

ACM Classification Keywords: I.2.6 Learning – Connectionism and neural nets.

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THE CASCADE GROWING NEURAL NETWORK USING QUADRATIC NEURONS AND ITS LEARNING ALGORITHMS FOR ON-LINE INFORMATION PROCESSING

Yevgeniy Bodyanskiy, Yevgen Viktorov, Iryna Pliss

http://foibg.com/ibs_isc/ibs-13/ibs-13-p03.pdf

Abstract: Theory of Infos is a part of the General Information Theory. Main features of the Theory of Infos are outlined in the paper. Further investigation is discussed.

Keywords: General Information Theory, Theory of Infos.

ACM Classification Keywords: A.1 Introductory and survey

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THEORY OF INFOS

Krassimir Markov, Krassimira Ivanova, Ilia Mitov

http://foibg.com/ibs_isc/ibs-13/ibs-13-p01.pdf

Abstract: A Bulgarian research project funded by the Bulgarian National Science Fund under the thematic priority Information and Communication Technologies, contract D002-308/19.12.2008 is presented in this article. The main goal and tasks are outlined. Some already achieved results are pointed.

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AUTOMATIC METADATA GENERATION FOR SPECIFICATION OF E-DOCUMENTS – THE METASPEED PROJECT

Juliana Peneva, George Totkov, Peter Stanchev, Elena Shoikova

http://foibg.com/ibs_isc/ibs-14/ibs-14-p14.pdf