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IMPACT OF SUBPIXEL PARADIGM ON DETERMINATION OF 3D POSITION FROM 2D IMAGE PAIR
By: Lukas Sroba, Rudolf Ravas
(3840 reads)
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Abstract: The idea of subpixel feature detection is widely used in image processing area in these days and it has
a high significance in many practical applications. This paper deals with impact of subpixel paradigm on accuracy
of 3D coordinates determination using information related to corresponding 2D image pairs. In the other worlds,
there is a study how the subpixel corner points detection could influence the accuracy of 3D reconstruction. For
that reason our work contains this comparison for image pairs having various mutual position and resolution using
data from given datasets. This contribution could answer the question if the paradigm of subpixel detection could
be useful in VSLAM methods and other practical tasks where the precision is a key.
Keywords: subpixel corner detection, 3D scene reconstruction, accuracy comparison
ACM Classification Keywords: I.4.8 Scene Analysis - stereo
Link:
IMPACT OF SUBPIXEL PARADIGM ON DETERMINATION OF 3D POSITION FROM
2D IMAGE PAIR
Lukas Sroba, Rudolf Ravas
http://www.foibg.com/ijicp/vol01/ijicp01-02-p07.pdf
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DYNAMIC INTEGRATED EXPERT SYSTEMS: THE EVOLUTION OF AT-TECHNOLOGY WORKBENCH
By: Galina Rybina, Victor Rybin
(3407 reads)
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Abstract: The current state and trends in the area of dynamic intelligent systems are analyzed. The first
experimental results obtained in the development of certain provisions and components of the task-oriented
methodology for the integrated expert systems construction during the transition to unformalized problems in
dynamic areas of concern solving are considered. State and tendencies of evolution of modern development tools
for static and dynamic expert systems development are being analyzed. New facilities of unique Russian
instruments for support of integrated expert systems development – the AT-TECHNOLOGY workbench –
connected with dynamic integrated expert systems development are in question.
Keywords: dynamic intelligent system, dynamic integrated expert systems, task-oriented methodology, ATTECHNOLOGY
workbench, development tools real time, simulation modeling, temporal reasoning, temporal
reasoner.
ACM Classification Keywords: I.2.1 Applications and Expert Systems; I.2.5 Programming Languages and Software
Link:
DYNAMIC INTEGRATED EXPERT SYSTEMS: THE EVOLUTION OF
AT-TECHNOLOGY WORKBENCH
Galina Rybina, Victor Rybin
http://www.foibg.com/ijicp/vol01/ijicp01-02-p06.pdf
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AN APPROACH TO THE MODELING OF THE COGNITIVE ABILITY MANAGING THE FOCUS OF ...
By: Olga Nevzorova, Vladimir Nevzorov
(3235 reads)
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Abstract: The article reveals an approach to modelling of the cognitive ability managing the focus of attention (an
ability to switch one's attention) which is based on the reflexive mechanisms developed in “OntoIntegrator”
system. There were considered basic experiments to classify the mathematical texts, and demonstrated the
reflection mechanisms for the solution of a set task.
Keywords: ontology, reflection, attention switch, ontological mark-up of the text
ACM Classification Keywords: H.3 INFORMATION STORAGE AND RETRIEVAL H.3.1 Content Analysis and
Indexing - Linguistic processing
Link:
AN APPROACH TO THE MODELING OF THE COGNITIVE ABILITY MANAGING THE
FOCUS OF ATTENTION ON THE BASIS OF THE REFLEXIVE MECHANISM OF THE
SYSTEM
Olga Nevzorova, Vladimir Nevzorov
http://www.foibg.com/ijicp/vol01/ijicp01-02-p05.pdf
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CONSTRAINED OBJECT-CHARACTERIZATION TABLES AND ALGORITHMS1
By: Hasmik Sahakyan
(3405 reads)
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Abstract: Let ܥ be a collection of objects, characterized by the set ܣ = {ܽଵ,⋯,ܽ} of binary attributes. We
consider problems of the following type: given an object-characterization table, it is to check if there exists a
subset ܯ in ܥ of a given size, such that each attribute of A is satisfied by a given number of objects in ܯ.
Additional restriction may be applied such as - the number of matches of each object in ܯ is limited. In this paper
we investigate particular cases of the general problem, and consider approximation solutions by means of binary
classification trees.
Keywords: Classification tree, covering, greedy algorithm.
ACM Classification Keywords: F.2.2 Nonnumerical Algorithms and Problems
Link:
CONSTRAINED OBJECT-CHARACTERIZATION TABLES AND ALGORITHMS1
Hasmik Sahakyan
http://www.foibg.com/ijicp/vol01/ijicp01-02-p04.pdf
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TOWARDS A SEMANTIC CATALOG OF SIMILARITY MEASURES
By: Alfredo Sánchez-Alberca, Rafael Lahoz-Beltra and Juan Castel
(3785 reads)
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Abstract: The tasks that encloses the Semantic Web often requires semantic comparisons between classes,
properties, relations and instances, that mainly consist in semantic similarity. As a consequence, the number of
similarity functions used in this field has greatly increased in the last years. However, the selection of the best
similarity functions to use in each case is a difficult task usually guided by heuristics and intuition. To overcome
this problem, in this paper we propose a taxonomy of similarity functions as a first step to a semantic catalog of
similarity functions. This taxonomy is induced by another taxonomy of data types. Our taxonomy allows selecting
the similarity functions applicable to a pair of entities based on the data type used to represent them. It also eases
the composition of functions according the composition of data types, and supports the inheritance of applicable
functions from the more abstract to the more specific data types. As a consequence, it facilitates the application
of similarity functions in an automated way. Finally, we also populate this taxonomy with some of the most popular
similarity functions used in Semantic Web.
Keywords: Semantic Web, semantic comparison, similarity measures
ACM Classification Keywords: 1.5.4 Pattern recognition applications. I.2.4 Knowledge Representation Formalisms
and Methods.
Link:
TOWARDS A SEMANTIC CATALOG OF SIMILARITY MEASURES
Alfredo Sánchez-Alberca?, Rafael Lahoz-Beltra? and Juan Castellanos-Peñuela?
http://www.foibg.com/ijicp/vol01/ijicp01-02-p03.pdf
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SPREADING THE MOORE - PENROSE PSEUDO INVERSE ON MATRICES EUCLIDEAN SPACES: ...
By: Volodymyr Donchenko, Fedir Skotarenko
(4421 reads)
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Abstract: In the paper the development of operating technique for matrices Euclidean spaces is represented.
Particularly, within such development transfer of linear operators’ technique with preserving properties of closely
correspondence to natural subspaces is represented. Also - spectral results, SVD – and Moore – Penrose
Pseudo Inverse – technique, theory of orthogonal projectors and grouping operators. Besides, solution of the
linear discrimination problem in Euclidean spaces of matrices is represented in the paper. Realization the
program of empowering the operating technique in matrices Euclidean space made possible on the basis of
putting in circulation of so-called "cortege operators” and, correspondingly - "cortege operations”.
Keywords: Feature vectors, matrix corteges operators, Single Valued Decomposition for cortege linear
operators, linear discrimination.
ACM Classification Keywords: G.2.m. Discrete mathematics: miscellaneous, G.2.1 Combinatorics; G.3
Probability and statistics, G.1.6. Numerical analysis, I.5.1.Pattern Recognition; H.1.m. Models and Principles:
miscellaneous.
Link:
SPREADING THE MOORE - PENROSE PSEUDO INVERSE ON MATRICES
EUCLIDEAN SPACES: THEORY AND APPLICATIONS
Volodymyr Donchenko, Fedir Skotarenko
http://www.foibg.com/ijicp/vol01/ijicp01-02-p02.pdf
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Polynomial Regression using a Perceptron with Axo-axonic Connections
By: Nuria Gómez Blas, Luis F. de Mingo, Alberto Arteta
(4380 reads)
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Abstract: Social behavior is mainly based on swarm colonies, in which each individual shares its knowledge about
the environment with other individuals to get optimal solutions. Such co-operative model differs from competitive
models in the way that individuals die and are born by combining information of alive ones. This paper presents the
particle swarm optimization with differential evolution algorithm in order to train a neural network instead the classic
back propagation algorithm. The performance of a neural network for particular problems is critically dependant on
the choice of the processing elements, the net architecture and the learning algorithm. This work is focused in the
development of methods for the evolutionary design of artificial neural networks. This paper focuses in optimizing
the topology and structure of connectivity for these networks.
Keywords: Social Intelligence, Neural Networks, Grammatical Swarm, Particle Swarm Optimization, Learning
Algorithm.
ACM Classification Keywords: F.1.1 Theory of Computation - Models of Computation, I.2.6 Artificial Intelligence -
Learning.
Link:
Polynomial Regression using a Perceptron with Axo-axonic Connections
Nuria Gómez Blas, Luis F. de Mingo, Alberto Arteta
http://www.foibg.com/ijicp/vol01/ijicp01-02-p01.pdf
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CONSTRUCTION OF CLASS LEVEL DESCRIPTION FOR EFFICIENT RECOGNITION OF ...
By: Tatiana Kosovskaya
(4332 reads)
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Abstract: Many artificial intelligence problems are NP-complete ones. To increase the needed time of such a
problem solving a method of extraction of sub-formulas characterizing the common features of objects under
consideration is suggested. Repeated application of this procedure allows forming a level description of an object
and of classes of objects. A model example of such a level description and the degree of steps number
increasing is presented in the paper.
Keywords: artificial intelligence, pattern recognition, predicate calculus, complexity of an algorithm, level
description of a class.
ACM Classification Keywords: I.2.4 Artificial Intelligence Knowledge Representation Formalisms and Methods
– Predicate logic, I.5.1 Pattern Recognition Models – Deterministic, F.2.2 Non numerical Algorithms and
Problems – Complexity of proof procedures.
Link:
CONSTRUCTION OF CLASS LEVEL DESCRIPTION FOR EFFICIENT RECOGNITION
OF A COMPLEX OBJECT
Tatiana Kosovskaya
http://www.foibg.com/ijicp/vol01/ijicp01-01-p11.pdf
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CHRONOLOGICAL MODELLING OF THE WEST – EUROPEAN INFORMATION ABOUT THE MEDIEVAL...
By: Jordan Tabov, Galina Panayotova
(3292 reads)
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Abstract: We present results of a study of the information about the medieval maps and travellers’ geographic
descriptions of Turkey. It is based on Ian Manners’ monograph “European Cartographers and the Ottoman World
1500-1750” (University of Chicago, 2007). The obtained chronological distributions show some peculiarities; we
discuss one of them.
Keywords: chronological distribution of information, ottoman world 1500-1750, maps, Little Ice Age
ACM Classification Keywords: I.6 SIMULATION AND MODELLING, I.6.3 Applications
Link:
CHRONOLOGICAL MODELLING OF THE WEST – EUROPEAN INFORMATION
ABOUT THE MEDIEVAL MAPS OF THE OTTOMAN WORLD 16TH-18TH CENTURIES
Jordan Tabov, Galina Panayotova
http://www.foibg.com/ijicp/vol01/ijicp01-01-p10.pdf
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FORMAL VERIFICATION OF THE SEQUENCE DIAGRAM
By: Vitaliy Lytvynov, Irina Bogdan
(24521 reads)
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Abstract: The article describes three different approaches to verification of one of the most frequently used UMLdiagrams – the sequence diagram. It indicates that these methods allow estimating its correctness only in certain
aspects, and complex application of these approaches is the most effective way.
Keywords: verification, digital machine, driver, UML-diagram, record, correctness, sequence diagram.
Link:
FORMAL VERIFICATION OF THE SEQUENCE DIAGRAM
Vitaliy Lytvynov, Irina Bogdan
http://www.foibg.com/ijicp/vol01/ijicp01-01-p09.pdf
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MPLS NETWORK STRUCTURAL SYNTHESIS WITH APPLICATION OF MODIFIED GENETIC ALGORITHM
By: Yuriy Zaychenko, Helen Zaychenko
(3679 reads)
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Abstract: The problem of MPLS networks structural synthesis is considered. The various modifications of
Genetic Algorithms (GA) are investigated for this problem solution which differs in implementation of crossover
and mutation procedures. The most adequate version of GA was elaborated and its investigations were carried
out. The application to suggested GA for real problem of topological optimization of MPLS network is presented.
Keywords: MPLS network, Genetic algorithms, structure synthesis
ACM Classification Keywords: A.0 General Literature - Conference proceedings National Information
Technologies NIT 2013
Link:
MPLS NETWORK STRUCTURAL SYNTHESIS WITH APPLICATION OF MODIFIED
GENETIC ALGORITHM
Yuriy Zaychenko, Helen Zaychenko
http://www.foibg.com/ijicp/vol01/ijicp01-01-p08.pdf
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IMPROVED ALGORITHM FOR VIDEO SHOT DETECTION
By: David Asatryan, Manuk Zakaryan
(3349 reads)
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Abstract: Currently digital video are widely used in various fields of science and technology and in human daily
activities. Intensively growing and already existing huge amount of digital video data need to be managed, so the
shot boundary detection is the first and important step for content-based video retrieval and indexing. Each
algorithm aimed for this approach should accurately detect boundaries between camera shots and do a
segmentation of a video. In this paper a new method of abrupt transitions detection is proposed, based on
Weibull distribution of each frame's gradient magnitude. Experimental results successfully show that it can
effectively detect hard cuts and has certain advantages against widely used other methods, which are using
image pixels point-by-point comparison method.
Keywords: segmentation, cut detection, similarity measure, Weibull distribution.
ACM Classification Keywords: Image Processing and Computer Vision
Link:
IMPROVED ALGORITHM FOR VIDEO SHOT DETECTION
David Asatryan, Manuk Zakaryan
http://www.foibg.com/ijicp/vol01/ijicp01-01-p07.pdf
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FORESIGHT PROCESS BASED ON TEXT ANALYTICS
By: Nataliya Pankratova, Volodymyr Savastiyanov
(3146 reads)
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Abstract: The significant increase in number of information sources unfavorable affects on traditional foresight
techniques not directly adapted to big data era. Without automation of knowledge processing the quality of final
foresight product is significally dependent on human (experts, analytics) abilities. In the article the new process
workflow is proposed using text analytics tools to support all stages of foresight. The proposed advanced model
of fact extraction with modified rules is based on new workflow, which includes marking data with additional
metadata, using automated classification and sentiment extraction techniques, data quality improving steps in
addition to quantitative and qualitative analysis of data. The modified rule based model of knowledge extraction
adapted to used toolkit is presented. Given approach were tested on supporting of foresight process in domain of
agricultural development of Crimea region.
Keywords: foresight, decision making, textual analytics, sentiment analysis, knowledge society, data mining,
DSS.
ACM Classification Keywords: H.5.3 Group and Organization Interfaces - Computer-supported cooperative
work
Link:
FORESIGHT PROCESS BASED ON TEXT ANALYTICS
Nataliya Pankratova, Volodymyr Savastiyanov
http://www.foibg.com/ijicp/vol01/ijicp01-01-p06.pdf
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MODELING OF REASONING IN INTELLIGENT DECISION SUPPORT SYSTEMS BY INTEGRATION ...
By: Alexander Eremeev, Marina Fomina
(3151 reads)
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Abstract: Modeling of reasoning in intelligent systems on the example of intelligent decision support system of
real time by means of integration of methods based on case-based reasoning (accumulated experience) and
inductive notion formation in the presence of noisy data are considered.
Keywords: intelligent decision support system, real time, plausible reasoning, modeling, case-based, inductive
notion formation, noisy data.
Link:
MODELING OF REASONING IN INTELLIGENT DECISION SUPPORT SYSTEMS BY
INTEGRATION OF METHODS BASED ON CASE-BASED REASONING AND
INDUCTIVE NOTIONS FORMATION
Alexander Eremeev, Marina Fomina
http://www.foibg.com/ijicp/vol01/ijicp01-01-p05.pdf
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AUTOMATED TRANSLATION FROM INFLECTIONAL LANGUAGES TO SIGN LANGUAGES
By: Olexandr Barmak, Iurii Krak, Sergii Romanyshyn
(3011 reads)
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Abstract: The article describes the algorithmic implementation of information technology for translation from
inflectional languages to sign language. For example info logical model of Ukrainian dictionary and sign language,
related generalized grammatical constructions for automatic translation are built. The experimental results to
verify the effectiveness of the proposed information technology are represented.
Keywords: Automated translation, sign language, inflectional language.
Link:
AUTOMATED TRANSLATION FROM INFLECTIONAL LANGUAGES TO SIGN
LANGUAGES
Olexandr Barmak, Iurii Krak, Sergii Romanyshyn
http://www.foibg.com/ijicp/vol01/ijicp01-01-p04.pdf
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ANALYSIS AND PROCESSING OF THE TEXT INFORMATION AIMED AT EXTRACTING BASIC ...
By: Kryvyi Sergii, Bibikov Dmitriy
(3497 reads)
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Abstract: The problems extraction knowledge from natural language text is considered. An automatization
approach to extraction knowledge is proposed.
Keywords: automatically analysis of natural languages text, extraction of knowledge.
ACM Classification Keywords: I.2 ARTIFICIAL INTELLIGENCE – I.2.4 Knowledge Representation Formalisms
and Methods.
Link:
ANALYSIS AND PROCESSING OF THE TEXT INFORMATION AIMED AT
EXTRACTING BASIC KNOWLEDGE
Kryvyi Sergii, Bibikov Dmitriy
http://www.foibg.com/ijicp/vol01/ijicp01-01-p03.pdf
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A NEW APPROACH TO INFORMATION SCIENCE: FRAMING A NATURALISTIC PERSPECTIVE
By: Jorge Navarro, Raquel del Moral & Pedro C. Marijuán
(3797 reads)
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Abstract: In recent decades, an increasing variety of research fields are converging into information science
conceptualizations. They are accompanied by astounding new uses of knowledge and even more astounding
social transformations that revolve around information technologies. Whether a robust information science will
finally emerge may not only depend on successful discussions about the philosophy of information and the social
impact of the new technologies. The most important adjustment to make is about framing a “new way of thinking”
or new perspective about information science itself: an inner philosophy interconnecting research practices in
fundamental areas of the new science. Like in the historical birth of other major sciences, the empirical,
comparative understanding of informational phenomena and informational entities should take place first. Further,
a naturalistic perspective, biologically inspired, would help in determining what model systems should be adopted
for advancing the comparative study of informational entities. Rather than attempting ill-fated definitions is
information definable at all? or closely remaining within the confines of information theory, a naturalistic,
empirically oriented strategy offers room for advancement. In the end, crafting a great scientific domain around
information science –rather than around computing – should be a common goal for the scholars and researchers
both from natural sciences and engineering and from social sciences involved in these new studies.
Keywords: Information Flow, Cell Production, Communication, Information Science,
ACM Classification Keywords: Theory
Link:
A NEW APPROACH TO INFORMATION SCIENCE:
FRAMING A NATURALISTIC PERSPECTIVE
Jorge Navarro, Raquel del Moral & Pedro C. Marijuán
http://www.foibg.com/ijicp/vol01/ijicp01-01-p02.pdf
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BRIEF ANALYZIS OF TECHNIQUE FOR PRIVACY PRESERVING COMPUTATION
By: Levon Aslanyan, Vardan Topchyan, Haykaz Danoyan
(4411 reads)
Rating:

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Abstract: The privacy preserving computation research area is considered. The problem appear when one party
have confidential data and need to do intense computations over that data, and computations will be done by the
second party, which may be supposed being untrusted. So the content of the raw data should be kept private
from the second party during the computations. Therefore these data are to be encrypted before sending them to
the second party. Two possible solution scenarios are considered – one in physical and the second in theoretical
levels. Physical level solution assumes some hardware integration and reorganizations. Theoretical level solution
is based on cryptographic approach (homomorphic encryption).The main idea is to encrypt data in such a way
that the owner, after getting the results of computations over the encrypted data, will be able to get the results on
original data only by decrypting the received results. The paper brings description and analyzes of such known
schemas. The final outcome is that practical cryptographic tools today are really not ready to be applied on
privacy preserving computations, so that the way of solution is the use of heuristic data analyses models and
algorithms that replace original data with synthesized data. Considering preparatory, this article is followed by the
base research part where synthetic data generation is considered on base of CART algorithm and clustering type
computational algorithms.
Keywords: Privacy preserving computations, homomorphic encryption, synthetic data generation.
ACM Classification Keywords: H.1 Information Systems – Models and principles, I.2.0 Artificial intelligence.
Link:
BRIEF ANALYZIS OF TECHNIQUE FOR PRIVACY PRESERVING COMPUTATION1
Levon Aslanyan, Vardan Topchyan, Haykaz Danoyan
http://www.foibg.com/ijicp/vol01/ijicp01-01-p01.pdf
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Program complex of regional models of electricity consumption for the Russian...
By: Galina Starkova, Natalia Frolova
(3579 reads)
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Abstract: There were considered main approaches, methods and features of energy consumption forecasting
and creating program complex of a regional model of environmental of wholesale electricity in Russian federation.
Keywords: modeling and forecasting of energy consumption, the program complex, information-analytical
systems, econometric modeling.
ACM Classification Keywords: H. Information Systems. H.4 Information Systems
Applications: H.4.2 Types of Systems – Decision support (e.g., MIS).
Link:
Program complex of regional models of electricity consumption for the Russian Federation
Galina Starkova, Natalia Frolova
http://www.foibg.com/ijita/vol21/ijita21-03-p08.pdf
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Generalized Axiomatic Approach to the Pareto Set Narrowing
By: Vladimir Noghin
(3532 reads)
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Abstract: An axiomatic approach to solve the problem of narrowing the Pareto set based on some numerical
information regarding preferences of the decision maker is considered. This approach has been developed by the
author since 1983. It requires the acceptance of certain four axioms of "reasonable" behavior of the Decision
Maker during the decision making process. It is assumed that in addition to the axioms some information
regarding the Decision Maker’s preferences (the so-called "quanta" of information) is known. Using this
information it is possible to reduce the Pareto set and thereby facilitate subsequent selection of solutions. We
analyze a class of multicriteria choice problems for which this approach can be applied, as well as discuss of
possible directions for its generalization.
Key words: Pareto set, multicriteria choice, Pareto set reducing
ACM Classification Keywords: F.4.3 – Decision problems
Link:
Generalized Axiomatic Approach to the Pareto Set Narrowing
Vladimir Noghin
http://www.foibg.com/ijita/vol21/ijita21-03-p07.pdf
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Evaluating Expected Effectiveness of Interval Alternatives
By: Gennady Shepelev, Mikhail Sternin
(3904 reads)
Rating:

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Abstract: Earlier, in the framework of our previous papers, we introduced a criterion for comparing interval
alternatives, which was called the assurance factor. It is based on the balance of chances that hypothesis on
preference for one of the compared alternatives is true and the risks associated with the possible truth of the
opposite hypothesis. The criterion is dimensionless that is not similar to other criteria used for this purpose. In this
paper this criterion and its calculation method are proposed to use for analysis of the most important from a
practical point of view problems of forecasting the expected effectiveness of the individual alternatives. Numerical
procedures have been developed to calculate the values of the assurance factor in the case of arbitrary
distribution on the analyzed interval alternative. Analytical expressions were also found for the uniform and
triangular distributions. Comparison of the results was produced for evaluating the expected effectiveness of
interval alternatives on the proposed criterion and on base of other evaluation criteria (mean value, Hurwicz
criterion). The arguments presented in favor of adequacy of the proposed criterion for problems of forecasting
both expected efficiency of interval alternatives and comparison of alternatives on preference. The possibility
harmonizing of results comparing alternatives and evaluating their expected efficiency based on Hurwicz criterion
and on the assurance factor was considered. Relation of the assurance factor with "pessimism - optimism"
coefficient was received. On this basis we analyze the question concerning substantiation of the choice of
Hurwicz criterion values. Using ordinal scales in the process of comparing alternatives and evaluating their
expected effectiveness on base of the assurance factor is proposed.
Keywords: estimating expected efficiency of interval alternatives, criterion estimating efficiency, comparing
different criteria of efficiency
ACM Classification Keywords: H.1.2 Human information processing. G3 Distribution functions. I.2.3
Uncertainty, “fuzzy”, and probabilistic reasoning
Link:
Evaluating Expected Effectiveness of Interval Alternatives
Gennady Shepelev, Mikhail Sternin
http://www.foibg.com/ijita/vol21/ijita21-03-p06.pdf
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Solution Algorithm of Multicriteria Problems of Lexicographic Optimization ...
By: Natalia Semenova, Maria Lomaha, Victor Semenov
(3534 reads)
Rating:

(1.00/10)
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Abstract: In the paper a multicriteria problem of lexicographic optimization with convex functions of the criteria on
the feasible set described by linear restrictions is considered. One of the possible approaches to the solution of
the multicriteria problem of lexicographic optimization is suggested. The approach combines the ideas of methods
of feasible directions and linearization. A solution algorithm has been built and proved; some illustrating examples
have been given.
Keywords: multicriteria problem, vector criterion, lexicographic optimization, feasible directions, linearization
ACM Classification Keywords: G 1.6 Optimization.
Link:
Solution Algorithm of Multicriteria Problems of Lexicographic Optimization with Convex Criteria Functions
Natalia Semenova, Maria Lomaha, Victor Semenov
http://www.foibg.com/ijita/vol21/ijita21-03-p05.pdf
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Financial analysis and creditability estimation of borrowers – corporations ...
By: Yuriy Zaychenko, Ovi Nafas Aghaei Agh Ghamish
(3101 reads)
Rating:

(1.00/10)
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Abstract: The problem of corporations’ financial analysis and creditability forecasting under uncertainty and risk
is considered. The classical scoring method is described. The application of fuzzy neural networks with
algorithms of Mamdani and Tsukamoto for enterprises creditability analysis and forecasting is suggested. Fuzzy
rules base for NFNs was developed. The experimental investigations of NFNs in the problem creditability
forecasting were carried, their efficiency estimated and compared with scoring method.
Keywords: creditability, forecasting, financial analysis, fuzzy neural networks, scoring method
Link:
Financial analysis and creditability estimation of borrowers – corporations under uncertainty
Yuriy Zaychenko, Ovi Nafas Aghaei Agh Ghamish
http://www.foibg.com/ijita/vol21/ijita21-03-p04.pdf
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Criteria investigations in ant colony optimization algorithm for travelling ...
By: Yuriy Zaychenko, Nicholas Murga
(3387 reads)
Rating:

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Abstract: New ant colony optimization algorithm has been investigated. Optimal search tactic and ant decision
making criterion have been found.
Keywords: Ant colony optimization algorithm, travelling salesman problem, salesman problem
ACM Classification Keywords: G Mathematics of computing – G.2 Discrete mathematics – G.2.2 Graph theory
– Graph algorithms, Network problems; I Computing Methodologies – I.2. Artificial Intelligence – I.2.8 Problem
Solving, Control Methods and Search – Graph and tree search strategies
Link:
Criteria investigations in ant colony optimization algorithm for travelling salesman problem
Yuriy Zaychenko, Nicholas Murga
http://www.foibg.com/ijita/vol21/ijita21-03-p03.pdf
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Selection of Computing Complex by Integral Index of Prospectivity
By: Petrovsky et al.
(3635 reads)
Rating:

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Abstract: The paper describes an approach to multicriteria choice of computing complex using a multi-stage
technology for sequential reducing the dimension of the criteria space. Several hierarchical systems of composite
criteria, which aggregate initial characteristics of complex in a single integral index of prospectivity, were built
using the methods of verbal decision analysis. The proposed approach allows to simplify the procedure of
multicriteria comparisons and choices of options, reduce the complexity of the procedure, select the most
preferred option and assess the quality of the selection.
Keywords: multicriteria choice, verbal decision analysis, reducing the dimension of the attribute space, attribute
aggregation, integral index, computing complex
ACM ClYsification? Keywords: A.0 General Literature - Conference proceedings
Link:
Selection of Computing Complex by Integral Index of Prospectivity
Alexey Petrovsky, Vasiliy Lobanov, Alla Zaboleeva-Zotova?, Tatiana Shitova
http://www.foibg.com/ijita/vol21/ijita21-03-p02.pdf
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