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DECISION-MAKING IN GROUPS OF INTERVAL ALTERNATIVES

System Administrator — Tue, 28 Aug 2018 08:09:00 +0100

Abstract: Problem of comparing alternatives with numerical quality indicators, which due to uncertainty have interval representations, is considered. It is demonstrated inevitability of presence in similar tasks of irremovable risk of making a wrong decision on preference of alternatives. It is emphasized necessity of the account in dealing with such problems both indicators of preference for analyzed alternative in comparison with other objects in their group and risk indicators of making wrong decision. Advantages and disadvantages of available methods of interval alternatives comparing are analyzed. Namely, methods of comparison are considered based on principles of dominance by probability, evaluation methods based on average indicators, new method of collective risk estimating, and methods of “mean – risk” approach. The arguments are given that methods of dominance by probability and methods based on average indicators as tools, which do not allow estimate risk of making a wrong decision explicitly, can play only an auxiliary role in decision-making. Advantages of the method of collective risk estimating consist in account of integral risk in concrete group of compared interval alternatives. Disadvantages are consequence of the fact that the method compares only relative preferences of alternative and permits take into account acceptability of separate alternative only after additional constructions. In the framework of “mean – risk” approach properties of such convenient for practice risk indicator as average semideviation were studied for some simple but important for applications distribution functions of preference chances. It is shown that in some cases instead of average semideviation indicator using of indicators of risk based on results of methods evaluating of deviation from target marks is more expedient. An advantage of methods of “mean – risk” approach is the possibility of calculating for each alternative pair of basic indicators needed for the evaluation interval alternatives, indicator of acceptability of alternatives and indicator of associated risk. The disadvantages include the fact that both of these indicators are calculated for an alternative as an independent object, which is not associated with others in compared group. Comparison of the alternatives on preference is based on values of these indicators but dependence of the risk on the context is not taken into account. Due to presence of both advantages and disadvantages of the methods is proposed to use a three-step approach to decision-making on the selection of interval alternatives, which is based on consistent using of different methods: A stage of the preliminary analysis of alternatives for the purpose of culling some of their number and reducing the dimension of the problem and size of collective risk by this is suggested to include in the procedure of decision making on the choice of the preferred objects. Method 304 International Journal “Information Theories and Applications”, Vol. 23, Number 4, © 2016 of average estimates is suggested to use at this stage. Using of the collective risk estimating techniques with isolating of a small number of alternatives as acceptable by the indicator of preference, as well as having the lowest risk of wrong estimates, is recommended at the following stage and methods of “mean – risk " approach at the final stage.

Keywords: comparing interval alternatives, methods of probabilistic dominance, collective risk estimating, “mean-risk” methods, joint using of the methods.

ACM Classification Keywords: H.1.2 Human information processing. G3 Distribution functions. I.2.3 Uncertainty, “fuzzy”, and probabilistic reasoning.

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DECISION-MAKING IN GROUPS OF INTERVAL ALTERNATIVES

Gennady Shepelev

http://www.foibg.com/ijita/vol23/ijita23-04-p01.pdf

CREATING A TRAINING SIMULATOR FOR THE ECONOMIC DISCIPLINES AND ITS FUNCTIONALITY

System Administrator — Tue, 25 Apr 2017 11:51:00 +0100

Abstract: One way to improve the quality of distance learning subjects in economics is the development and application in the process of training of trainers and simulators. The article defines the necessary requirements to simulators for the subjects of economic profile. The technology training and learning using the software package developed by the author - trainer "Cyber2T". Attention is concentrated on the stage of the debriefing. A method of analyzing and summarizing the results of the training is done using logical probabilistic model to predict the possible errors and assumptions form the recommendations to correct them."Cyber2T" designed to "Cyber2" basis -. The system of identifying and evaluating the development of knowledge "Cyber2T" written in VB.NET 2010, the database is organized to SQL Server 2008.

Keywords: "Cyber2T"; Simulators-trainer; knowledge systems; Simulator of economic subject.

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CREATING A TRAINING SIMULATOR FOR THE ECONOMIC DISCIPLINES AND ITS FUNCTIONALITY

Tea Munjishvili; Zurab Munjishvili

http://www.foibg.com/ijita/vol23/ijita23-03-p07.pdf

STORING INFORMATION VIA NATURAL LANGUAGE ADDRESSING – A STEP TOWARD MODELING ...

System Administrator — Tue, 25 Apr 2017 11:49:00 +0100

Abstract. Our main goal in this paper is to propose a new approach for modeling human brain memory by storing information using only the names but not pointers. This approach gives us new point of view to the human brain processes. In other hand, it simplifies and speeds up the corresponded computer programs. It is called “Natural Language Addressing” (NLA). This approach is a possibility to access information using natural language words or phrases as direct addresses of the information in the computer memory. For this purpose the internal encoding of the letters is used to generate corresponded address co-ordinates.

Keywords: modeling human brain memory, ontologies, addressing, natural language addressing

ACM Classification Keywords: H.2 Database Management; H.2.8 Database Applications

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STORING INFORMATION VIA NATURAL LANGUAGE ADDRESSING – A STEP TOWARD MODELING HUMAN BRAIN MEMORY

Krassimira Ivanova, Stefan Karastanev

http://www.foibg.com/ijita/vol23/ijita23-03-p06.pdf

EXEMPLAR BASED INPAINTING USING DEPTH MAP INFORMATION

System Administrator — Tue, 25 Apr 2017 11:42:00 +0100

Abstract: Image inpainting is the process of filling in missing or damaged parts. Exemplar based image inpainting algorithm fills in the missing parts using information from the known part of the image. Scanning the whole image for finding the most similar patch is a very time consuming task. Also the algorithm doesn’t consider the depth information which harms the quality of the result. In this paper, we use depth information from the image depth map and this approach improves efficiency and quality of inpainted image. The paper includes experiment results and comparison with exemplar based inpainting algorithm.

Keywords: stereo image, inpainting, exemplar based, depth map, image completion

ACM Classification Keywords: I.4.4 Image Processing and Computer Vision - Restoration

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EXEMPLAR BASED INPAINTING USING DEPTH MAP INFORMATION

Vahan Gevorgyan Vladimir, Aram Gevorgyan Vladimir, Gevorg Karapetyan Arakel

http://www.foibg.com/ijita/vol23/ijita23-03-p05.pdf

ASSEMBLING DECISION RULE ON THE BASE OF GENERALIZED PRECEDENTS

System Administrator — Tue, 25 Apr 2017 11:38:00 +0100

Abstract: A new approach to analysis of structure of the training sample based on identification and parameterization clusters of local regularities that are considered as generalized precedents of manifestation of partial interrelations in data is investigated. Substantive treatment of non-uniformity in images of empirical distributions in parametric spaces is proposed, and possibilities of use of secondary cluster structure for reduction of complexity of decisions and increase of processing speed, identification and verification of regularities, are studied.

Keywords: local dependency, generalized precedent, parametric space, cluster, hyper-parallelepiped, logical regularity, hypercube bitmap, derivative distribution, decision rule

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ASSEMBLING DECISION RULE ON THE BASE OF GENERALIZED PRECEDENTS

Vladimir Ryazanov, Alexander Vinogradov, Yuryi Laptin

http://www.foibg.com/ijita/vol23/ijita23-03-p04.pdf

SOME ASPECTS OF TEMPORAL REASONING INTEGRATION WITH SIMULATION MODELING ...

System Administrator — Tue, 25 Apr 2017 11:30:00 +0100

Abstract: The scientific and technological problems of constructing dynamic integrated expert systems and the approaches to their solution are discussed. The new stages of the development of a problemoriented methodology and AT-TECHNOLOGY workbench for constructing integrated expert systems in the context of solving dynamic integrated expert systems are considered. The theoretical and technical issues concerned with the representation and processing of temporal knowledge and simulation modeling are of special interest. The features of the implementation of temporal reasoning software and simulation modeling software for the dynamic version of the AT-TECHNOLOGY workbench are described.

Keywords: dynamic integrated expert systems, problem-oriented methodology, AT-TECHNOLOGY workbench, time representation, interval Allen logic, temporal solver, integration, simulation modeling

ACM Classification Keywords: software and its engineering, real-time systems software, software notations and tools, context specific languages, development frameworks and environments, software development techniques

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SOME ASPECTS OF TEMPORAL REASONING INTEGRATION WITH SIMULATION MODELING FOR DYNAMIC INTEGRATED EXPERT SYSTEMS CONSTRUCTION USING AT-TECHNOLOGY WORKBENCH

Galina Rybina, Victor Rybin

http://www.foibg.com/ijita/vol23/ijita23-03-p03.pdf

SENSITIVITY ANALYSIS OF A DECISION-MAKING PROBLEM USING THE ANALYTIC ...

System Administrator — Tue, 25 Apr 2017 11:28:00 +0100

Abstract: The paper deals with the methodology of complex sensitivity analysis of solution given by one of the popular multiple-criteria decision-making methods, namely the Analytic Hierarchy Process. This methodology includes evaluation of sensitivity of hierarchy elements local ranking to changes in an expert pairwise comparison judgments and evaluation of sensitivity of global ranking of decision alternatives to changes in weights of hierarchy elements. The sensitivity analysis is illustrated on a problem of evaluation of renewable energy technologies for an eco-house in Ukraine.

Keywords: the analytic hierarchy process, uncertainty of expert pairwise comparison judgments, sensitivity analysis, stability intervals, critical expert pairwise comparison judgments, critical elements of a hierarchy.

ACM Classification Keywords: H.4.2. INFORMATION SYSTEM APPLICATION: type of system strategy

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SENSITIVITY ANALYSIS OF A DECISION-MAKING PROBLEM USING THE ANALYTIC HIERARCHY PROCESS

Nataliya D. Pankratova, Nadezhda I. Nedashkovskaya

http://www.foibg.com/ijita/vol23/ijita23-03-p02.pdf

RANDOMIZED SET SYSTEMS CONSTRAINED BY THE DISCRETE TOMOGRAPHY

System Administrator — Tue, 25 Apr 2017 11:21:00 +0100

Abstract: This article, in general, is devoted to a set of discrete optimization issues derived from the domain of pattern recognition, machine learning and data mining - specifically. The global objectives are the compactness hypotheses of pattern recognition, and the structural reconstruction of the discrete tomography. The driving force of the current research was the proof technic of the discrete isoperimetry problem. In proofs by induction the split technique was applied and then it is important to have some information about the sizes of the split compounds. Isoperimetry itself is a formalism of the compactness hypotheses. From one side knowledge on split sizes helps to find the compact structures and learning sets based on this, from the other side – split sizes help to prove the necessary relations. The pure combinatorial approaches 22-77 are not able at the moment to give an efficient description of the split sizes and – the weighted row-different matrices. The probabilistic method, as it is well-known, gives additional knowledge about the random subsets, and this may be useful as a complementary knowledge about a different objects or a situations concerned the properties of discrete structures – isoperimetry and tomography. The discrete mathematical science deals with different types of discrete structures, studying their transformations and properties. In some problems we face the issues about the existence of structures under some special constraints, about the enumeration of structures under these constraints, and – on algorithmic optimization. Given a simple structure – in some cases, it can be even hard to compute some basic properties of it. Such are for example the graph chromatic number, the minimal set cover, the solution of the well-known SAT and plenty of other NP-complete problems. When structures are given, the mentioned parameters may be easily computable. To find a structure by the given parameters often becomes hard. We call such problems – inverse problems. Our special interest is in considering of simple (0,1) matrices and their row and column weights. Given a matrix we can compute the mentioned weights (direct problem). The inverse problem, — when it is to find the construction with the given weights is not simple. At least there is not known polynomial algorithms for this problem. Moreover, the problem is known as the hypotheses posted by famous graph theorist C. Berge so that the problem is well known and unsolved. 204 International Journal “Information Theories and Applications”, Vol. 23, Number 3, © 2016 Besides the logical and combinatorial analysis of the inverse type problems of discrete optimization, in several cases the probabilistic models were applied successfully. The idea of this paper is to use the probabilistic theory of combinatorial analysis to the discrete tomography problem given in terms of the (0,1) matrices. The paper tries to outline the models, relations and the methodology. Our research priority interest is to understand the opportunities, similarities and perspectives in this broad research area. The study is ongoing and the follow up publication will come soon.

Keywords: discrete tomography, discrete isoperimetry, probabilistic theory of combinatorial analysis, (0,1) matrices, discrete optimization.

ACM Classification Keywords: G.2.1 Combinatorics

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RANDOMIZED SET SYSTEMS CONSTRAINED BY THE DISCRETE TOMOGRAPHY

Irina Arsenyan, Levon Aslanyan and Hasmik Sahakyan

http://www.foibg.com/ijita/vol23/ijita23-03-p01.pdf

Линейные ограничения и методы их решения

System Administrator — Tue, 25 Apr 2017 11:16:00 +0100

Abstract: The algorithms for computation of basis of solutions systems of linear constraints over set of real numbers, minimal supported set of solutions for systems of linear Diophantine homogeneous equations over set of natural numbers and basis of systems of linear Diophantine homogeneous and inhomogeneous equations over ring of integer numbers, over ring and eld of residues on modulo are described. Thies algorithms consider in context of solving of general constraint satisfaction problem

ACM Classication Keywords: Systems of linear Diophantine constraints, minimal supported set of solutions, basis of solutions, constraint satisfaction problem

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Линейные ограничения и методы их решения

Сергей Л. Крывый

http://www.foibg.com/ijita/vol23/ijita23-02-p01.pdf

INFORMATION FLOWS ENHANCEMENT FOR AIS TOURISM AUTOMATED INFORMATION SYSTEM

System Administrator — Tue, 25 Apr 2017 11:14:00 +0100

Abstract: This article put emphasis on the issue of information system efficiency in tourism, as a tool of defining the level of domestic and inbound tourism growth. The necessity of information system development is determined to solve the problem of current tourism functionality; however, the implementation of some automated information system (AIS) cannot be a solution to the obstacle. AIS need to be efficient. Thus, the article provides the way of estimation and enhancement of information flows as an approach to improve information system efficiency.

Keywords: automated information systems (AIS), efficiency, information flow, graph modeling, AIS enhancement, information systems in tourism.

ACM Classification Keywords: G.2.2 Graph Theory, H.1 Models and Principles, K.4.3 Organizational Impacts

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INFORMATION FLOWS ENHANCEMENT FOR AIS TOURISM AUTOMATED INFORMATION SYSTEM

Irina Titova, Natalia Frolova

http://www.foibg.com/ijita/vol23/ijita23-01-p08.pdf