Clustering a Body of Evidence Based on Conflict Measures
Bronevich A., Lepskiy A.
In real applications, sometimes it is necessary to evaluate inner or external conflict of pieces of evidence. However, these numerical values cannot give us explanations why this conflict occurs. Thus, we need deeper analysis of available information. In the paper, we propose the clusterization of a given evidence on pieces of evidence in a way that we try to achieve the highest conflict among pieces of evidence and the smallest inner conict within pieces of evidences based on several functionals that help us to evaluate inner and external conflict.
Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
Vol. 1. , P. : Atlantis Press, 2019
Application of Non-additive Measures and Integrals for Analysis of the Importance of Party Positions for Voting
, , , in : Atlantis Studies in Uncertainty Modelling, Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019). Vol. 1.: Atlantis Press, 2019. P. 321-327.
Added: September 29, 2019
The choice of generalized Dempster-Shafer rules for aggregating belief functions based on imprecision indices.
, , , in : Belief Functions: Theory and Applications. Vol. 8764.: Dordrecht, L., Heidelberg, NY : Springer, 2014. P. 21-28.
In the paper we investigate the criteria of choosing generalized Dempster-Shafer rules for aggregating sources of information presented by belief functions. The approach is based on measuring various types of uncertainty in information and we use for this linear imprecision indices. Some results concerning properties of such rules are also presented. ...
Added: March 5, 2015
, , in : Advances in Intelligent Systems and Computing. Vol. 456: Soft Methods for Data Science.: Springer, 2017. P. 311-318.
The qualitative characteristics of the combining evidence with the help of Dempster’s rule with discounting is studied in this paper in the framework of Dempster-Shafer theory. The discount coefficient (discounting rate) characterizes the reliability of information source. The conflict between evidence and change of ignorance after applying combining rule are considered in this paper as ...
Added: September 28, 2016
The Application of Conflict Measure to Estimating Incoherence of Analyst's Forecasts about the Cost of Shares of Russian Companies
, , , Procedia Computer Science 2015 Vol. 55 P. 1113-1122
This paper is devoted to modern approaches to the estimation of external conflict in the theory of evidence based on axioms. The conflict measure is defined on the set of beliefs obtained from several sources of information. It is shown that the conflict measure should be a monotone set function with respect to sets of ...
Added: August 16, 2015
, Electronic Notes in Discrete Mathematics 2015 No. 47 P. 213-220
Clustering cities based on their socio-economic development in long time period is an important issue and may be used in many ways, e.g., in strategic regional planning. In this paper we continue our recent study where cumulative attribute for each year replaces nine other attributes, called ’vector of dynamics’. In our previous paper some original ranking method was proposed. ...
Added: November 12, 2015
, , , , in : Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2019. : INCOMA Ltd, 2019. P. 62-70.
Word Sense Induction (WSI) is the task of grouping of occurrences of an ambiguous word according to their meaning. In this work, we improve the approach to WSI proposed by Amrami and Goldberg (2018) based on clustering of lexical substitutes for an ambiguous word in a particular context obtained from neural language models. Namely, we ...
Added: October 9, 2020
Russian Nationalist Movement Restructuring in light of the Ukrainian Events which took place in 2013-14
, Russian Nationalist Movement Restructuring in light of the Ukrainian Events which took place in 2013-14 / Social Science Research Network. Series SSRN Working Paper Series "SSRN Working Paper Series". 2015.
The events in Ukraine in 2013-2014 attracted the Russian society’s attention and affected the Russian political agenda. One of the most affected sectors of the Russian domestic policy was Russian nationalist organizations. The issue of radical nationalism has become essential for European countries and for Russia in particular. But this object is rather difficult to ...
Added: October 15, 2015
APPLICATION OF DATA ENVELOPMENT ANALYSIS IN MANAGEMENT RESEARCH (CASE OF RUSSIAN DOMESTIC ENERGY SECTOR)
, APPLICATION OF DATA ENVELOPMENT ANALYSIS IN MANAGEMENT RESEARCH (CASE OF RUSSIAN DOMESTIC ENERGY SECTOR) / Высшая школа экономики. Series MAN "Management". 2013.
The idea that different firms can be classified into relatively homogeneous groups has been popular for many years, and many typologies have been developed and tested using a variety of classification tools. It has become apparent, however, that most clustering tools are somewhat limited, because they create groups of companies based on similar characteristics, without ...
Added: February 18, 2014
The Minkowski central partition as a pointer to a suitable distance exponent and consensus partitioning
, , et al., Pattern Recognition 2017 Vol. 67 P. 62-72
The Minkowski weighted K-means (MWK-means) is a recently developed clustering algorithm capable of computing feature weights. The cluster-specific weights in MWK-means follow the intuitive idea that a feature with low variance should have a greater weight than a feature with high variance. The final clustering found by this algorithm depends on the selection of the ...
Added: March 30, 2017
Usage of Clustering of Paley Graphs in Polar Coordinates for the Development of New Network on Chip Topologies
, , , , in : 2022 International Russian Automation Conference (RusAutoCon). : IEEE, 2022. P. 419-423.
The article presents a study of clustering of Paley graphs with the arrangement of prime numbers in polar coordinates and a comparison of the resulting groups in terms of their static parameters; the application of fault-tolerant self-organizing routing method for new topologies is also considered. This article is a continuation of a series of articles ...
Added: October 2, 2022
ОБРАБОТКА И АНАЛИЗ РЕЗУЛЬТАТОВ МОНИТОРИНГОВ ДЛЯ УПРАВЛЕНИЯ ФОРМИРОВАНИЕМ УСЛОВИЙ КАЧЕСТВЕННОГО ОБРАЗОВАНИЯ
, Моделирование, оптимизация и информационные технологии 2017 Т. 5 № 4 С. 1-18
The article reviews models and procedures for processing and evaluation of monitoring results, including student participation, focused on intellectual support of administrative managerial decisions when developing of conditions and corresponding resources for the achievement of applicable regulatory requirements for the quality of university education. The first stage of processing is normalization of factors which characterize ...
Added: August 19, 2019
, , Optimization Letters 2017 Vol. 11 No. 2 P. 247-247
Clustering and search techniques are essential to a wide spectrum of applications. Network clustering techniques are becoming common in the analysis of massive data sets arising in various branches of science, engineering, government and industry. In particular, network clustering and search techniques emerge as an important tool in large-scale networks. This special issue of Optimization Letters ...
Added: September 12, 2016
, Статистика и Экономика 2018 Т. 15 № 2 С. 30-37
The article includes the observation of the cluster analysis of medical data on the example of the cardiac data. One of the main effective and commonly used Data Mining methods that applied to the large amounts of information (for example, mathematical economics) are clustering methods: the search for signs of similarity between objects in the study of the subject area ...
Added: May 29, 2018
, , , , in : 16th IEEE International Conference on Data Mining Workshops (ICDMW). : NY : IEEE Computer Society, 2016. P. 107-112.
We consider a task of classifying normal and pathological brain networks. These networks (called connectomes) represent macroscale connections between predefined brain regions; hence, the nodes of connectomes are uniquely labeled and the set of labels (brain regions) is the same across different brains. We make use of this property and hypothesize that connectomes obtained from ...
Added: December 9, 2016
, , Искусственные общества 2020 Т. 15 № 3 С. 1-11
This article presents a new approach to designing agent-based bounded neighbourhood models (the Schelling’s models). An original agent-based model in the AnyLogic system has been developed, which describes the segregation processes caused by the behaviour patterns of agent-individuals. There are examined various scenarios (environment characteristics) affecting the cluster structure of the spatial distribution of agents. Using the proposed bounded ...
Added: September 14, 2020
Formal Concept Analysis: 16th International Conference, ICFCA 2021, Strasbourg, France, June 29 – July 2, 2021, Proceedings
This book constitutes the proceedings of the 16th International Conference on Formal Concept Analysis, ICFCA 2021, held in Strasbourg, France, in June/July 2021. The 14 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 32 submissions. The book also contains four invited contributions in full paper length. The research part ...
Added: July 10, 2021
, , , in : Belief Functions: Theory and Applications 5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, Proceedings. Vol. 11069.: Springer, 2018. P. 31-38.
The aim of this paper is to show that the Kantorovich problem, well known in models of economics and very intensively studied in probability theory in recent years, can be viewed as the basis of some constructions in the theory of belief functions. We demonstrate this by analyzing specialization relation for finitely defined belief functions ...
Added: October 8, 2018
Tech Mining for Emerging STI Trends Through Dynamic Term Clustering and Semantic Analysis: The Case of Photonics
, , , in : Anticipating Future Innovation Pathways Through Large Data Analysis. : Netherlands : Springer, 2016. P. 341-360.
Technology mining (TM) helps to acquire intelligence about the evolution of research and development (R&D), technologies, products, and markets for various STI areas and what is likely to emerge in the future by identifying trends. The present chapter introduces a methodology for the identification of trends through a combination of “thematic clustering” based on the ...
Added: June 20, 2016
Кластеризация медицинских больших данных как инструментарий систем поддержки принятия решений в математической кардиологии с использованием облачных технологий
, , , Системный администратор 2018 Т. 188-189 № 07-08 С. 92-96
Массовое использование мобильных устройств для съема электрокардиограмм (ЭКГ) приводит к количественному росту доступных для исследования ЭКГ множества пациентов. Таким образом, появляются новые возможности исследования колебательных процессов долговременной динамики индивидуального состояния сердечно-сосудистой системы (ССС) любого пациента. В статье демонстрируются новые возможности долговременного постоянного наблюдения за состоянием ССС массы пациентов, позволяющие выявить закономерности динамики ССС, которые приводят к ...
Added: September 13, 2018
, , in : Lecture Notes in Computer Science. Vol. 10254: Digital Education: Out to the World and Back to the Campus.: Springer, 2017. P. 273-279.
This study is devoted to different types of students’ behavior before they drop an adaptive course. The Adaptive Python course at the Stepik educational platform was selected as the case for this study. Student behavior was measured by the following variables: number of attempts for the last lesson, last three lessons solving rate, the logarithm ...
Added: March 3, 2019
Analysis and interpretation of imaging mass spectrometry data by clustering mass-to-charge images according to their spatial similarity
, , et al., Analytical Chemistry 2013 Vol. 85 No. 23 P. 11189-11195
Imaging mass spectrometry (imaging MS) has emerged in the past decade as a label-free, spatially resolved, and multipurpose bioanalytical technique for direct analysis of biological samples from animal tissue, plant tissue, biofilms, and polymer films. Imaging MS has been successfully incorporated into many biomedical pipelines where it is usually applied in the so-called untargeted mode-capturing spatial localization of a multitude of ions ...
Added: November 18, 2013
, , , , in : Advances in Data Sciences: Symbolic, Complex and Network Data. : ISTE, Wiley, 2020. P. 209-228.
Added: December 10, 2019
Исследование конфликтности и детерминант точности прогнозов в рекомендациях российских финансовых аналитиков
, , et al., Исследование конфликтности и детерминант точности прогнозов в рекомендациях российских финансовых аналитиков / Высшая школа экономики. Серия WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2015. № 10.
There is one of the investment strategies on a stock market called a choice of securities including its buying and sale based on financial analysts’ recommendations. The distinguishing characteristic of these recommendations is that in each of it for the same securities there can be different recommendations («Buy», «Sell», «Hold») as well as for one type of recommendations ...
Added: December 2, 2015
Clustering of Biomedical Data Using the Greedy Clustering Algorithm Based on Interval Pattern Concepts
, , , , in : Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at IJCAI/ECAI 2019). : [б.и.], 2019. P. 65-74.
nterval pattern concepts are a particular case of patternstructures. They can be used to clusterize rows of a numerical formalcontext (data matrix): two rows are close to each other if their entriesat the corresponding positions fall within a given interval.The problem of mining interval pattern concepts has much in commonwith the known problem related to ...
Added: April 28, 2020