scholarly journals Application of Fuzzy Set Theory in the Distribution of Information Flows of a Network Information System

2021 ◽  
Vol 45 (1) ◽  
pp. 77-94
Author(s):  
Alexander V. Robutsov ◽  
Violetta V. Levshina ◽  
Svetlana V. Mamaeva ◽  
Ludmila N. Khramova ◽  
Igor V. Khramov
Keyword(s):  
Information System ◽  
Fuzzy Sets ◽  
Analytical Data ◽  
Analytical Models ◽  
Main Concern ◽  
Information Flows ◽  
Fuzzy Approach ◽  
Network Information ◽  
Models Comparison ◽  
The Subject

The subject of this study represents of the processes of functioning of information flows in a network information system through the use of fuzzy sets. The purpose of this article is consider to the possibilities of fuzzy sets in information flows distribution problems of the Network Information System by the development of mathematical tools. In the theoretical part of the study the main issue was the description of fuzzy approach. In the empirical part of the study the main concern was finding out the reasons of the advantages of fuzzy approach. Methods of this research include: analysis of information sources, formalization, synthesis, and modeling. The main results of the present study: proof of the identity between the functioning of the analytical data; held the solution of the optimization problem based on the formulated analytical models; comparison of the usage of fuzzy logic with a different statistical method; demonstrated the advantage of fuzzy approach in modeling processes network information system. The results can be applied to be used by further authors in the field of information systems and technologies. The article is aimed at improving the functioning of the network information system by improving the mathematical tools.

MANAGEMENT OF THE SUCCESS OF STUDENT’S LEARNING BASED ON THE MARKOV MODEL

2018 ◽  
pp. 4-11
Author(s):  
M. V. Noskov ◽  
M. V. Somova ◽  
I. M. Fedotova
Keyword(s):  
Information System ◽  
Markov Process ◽  
Continuous Time ◽  
Information Technologies ◽  
Educational Process ◽  
Automated Information System ◽  
The Subject ◽  
The University ◽  
Independent Work ◽  
Near Future

The article proposes a model for forecasting the success of student’s learning. The model is a Markov process with continuous time, such as the process of “death and reproduction”. As the parameters of the process, the intensities of the processes of obtaining and assimilating information are offered, and the intensity of the process of assimilating information takes into account the attitude of the student to the subject being studied. As a result of applying the model, it is possible for each student to determine the probability of a given formation of ownership of the material being studied in the near future. Thus, in the presence of an automated information system of the university, the implementation of the model is an element of the decision support system by all participants in the educational process. The examples given in the article are the results of an experiment conducted at the Institute of Space and Information Technologies of Siberian Federal University under conditions of blended learning, that is, under conditions when classroom work is accompanied by independent work with electronic resources.

scholarly journals Novel Parameterized Distance Measures on Hesitant Fuzzy Sets with Credibility Degree and Their Application in Decision-Making

Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 557 ◽  
Author(s):  
Jiaru Li ◽  
Fangwei Zhang ◽  
Qiang Li ◽  
Jing Sun ◽  
Janney Yee ◽  
...  
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Cardinal Number ◽  
Decision Makers ◽  
Distance Measures ◽  
Hesitant Fuzzy Set ◽  
Hesitant Fuzzy Sets ◽  
The Subject ◽  
The Relationship

The subject of this study is to explore the role of cardinality of hesitant fuzzy element (HFE) in distance measures on hesitant fuzzy sets (HFSs). Firstly, three parameters, i.e., credibility factor, conservative factor, and a risk factor are introduced, thereafter, a series of novel distance measures on HFSs are proposed using these three parameters. These newly proposed distance measures handle the relationship between the cardinal number and the element values of hesitant fuzzy set well, and are suitable to combine subjective and objective decision-making information. When using these functions, decision makers with different risk preferences are allowed to give different values for these three parameters. In particular, this study transfers the hesitance degree index to a credibility of the values in HFEs, which is consistent with people’s intuition. Finally, the practicability of the newly proposed distance measures is verified by two examples.

scholarly journals Evaluation of Sustainability Information Disclosure Based on Entropy

Entropy ◽  
2018 ◽  
Vol 20 (9) ◽  
pp. 689 ◽  
Author(s):  
Ming Li ◽  
Jialin Wang ◽  
Ying Li ◽  
Yingcheng Xu
Keyword(s):  
Fuzzy Sets ◽  
Information Disclosure ◽  
Indicator System ◽  
Intuitionistic Fuzzy Sets ◽  
Evaluation Indicator ◽  
Object Weight ◽  
Evaluation Indicator System ◽  
The Subject ◽  
Evaluation Information

Disclosure of sustainability information is important for stockholders and governments. In order to evaluate the quality of sustainability information disclosure in heavily polluting industries, the quality of the disclosure is proposed to be evaluated from completeness, adequacy, relevance, reliability, normativeness and clarity aspects. The corresponding evaluation indicator system is constructed. Due to the ambiguity and complexity of the evaluation information, the intuitionistic fuzzy sets are applied to model the linguistic ratings. Entropy is used to derive the weight of experts, the object weight and the subject weight of the indicators. which are integrated when dealing with the evaluation information. The quality of sustainability information disclosure of seven representative companies in heavily polluting industries is evaluated. The importance of indicators and ranking of the companies are derived. Based on the evaluation results, the discussion and suggestions are also provided.

scholarly journals CERTAIN ASPECTS OF AUTOMATIZATION OF FORMING THE FORENSIC EXAMINATION CONCLUSION PROCESS

2021 ◽  
Vol 74 (1) ◽  
pp. 114-121
Author(s):  
Vasyl Kovalov ◽  
Keyword(s):  
Information System ◽  
Expert Opinion ◽  
Information Technologies ◽  
Digital Technologies ◽  
Research Process ◽  
Subject Area ◽  
Technical Errors ◽  
Forensic Examination ◽  
The Subject ◽  
Definition Of

Active introduction of digital technologies in all spheres of life is one of the main directions of state development as a whole and separate sphere of activity. The issue of using information technologies and systems during forensic examination is the subject of scientific research of many domestic and foreign scientists, but this sphere remains relevant. The introduction of digital technologies in forensic activities is one of the priority areas for the forensic science development at the present stage and has significant development potential. One of the areas of optimization and improvement of forensic activity is the development of methods to automate the formation of forensic experts and unify the description of the research process, identified features, justification and formulation of forensic conclusions, which requires legislative consolidation and regulation, analysis and definition of the subject area and development requirements and algorithms for the operation of the system interface. Unification and standardization of the content of forensic experts' opinions requires the development of common standards and an information system adopted by all subjects of forensic expertise, and meets the needs of practice. The development of an information system for forming an expert opinion and automatically forming an expert opinion will allow formalizing and unifying the description of research and results of forensic examinations, optimizing the time of forensic experts and potentially reducing the number of logical, typographical and technical errors, and simplifying quality control of forensic examinations. The proposed system will not only automate the technical work of registration of research results carried out during forensic examinations, but will also contain research algorithms, which will be stored in the form of data on already conducted research of similar objects (list and sequence of operations, identified features and their parameters).

scholarly journals The Role and Place of Accounting Information in the Decision-Making System

2019 ◽  
Vol 25 (2) ◽  
pp. 46-51
Author(s):  
Sebastian Floştoiu
Keyword(s):  
Decision Making ◽  
Information System ◽  
Accounting Information ◽  
Accurate Information ◽  
Important Place ◽  
Complex Procedure ◽  
Decision Making System ◽  
Degree Of Certainty ◽  
The Subject ◽  
And Performance

Abstract The results and performance of an enterprise are the result of the decisions taken by the management of the entity, decisions which are the result of a complex procedure of processing and analyzing the relevant data and information provided by the information system available. In other words, appropriate and correct decisions that lead to the achievement of the objectives and attainment of higher performances are dependent on the quality and quantity of the information. Consequently, accurate information generates correct decisions. Due to of its qualities (relevance, intelligibility, credibility and comparability), accounting information occupies a very important place in the architecture of the economic information system, having the highest degree of certainty and providing the possibility of an accurate representation of economic phenomena and processes, both at micro, as well as at macroeconomic levels. Hence, we can say that the “final outcome of accounting”, namely accounting information, is one of the most important pillars of the elaboration, substantiation and decision-making process. Starting from this premise, this article aims to capture the main features of accounting information, which qualifies it as the object and the subject of the management system.

scholarly journals Structural Combinatorial of Network Information System of Systems based on Evolutionary Optimization Method.pdf

2020 ◽  
Author(s):  
Tingting Zhang ◽  
Yushi Lan ◽  
Aiguo Song ◽  
Kun Liu ◽  
Nan Wang
Keyword(s):  
Genetic Algorithm ◽  
Information System ◽  
System Of Systems ◽  
Information Architecture ◽  
Information Network ◽  
Network System ◽  
System Construction ◽  
Network Information ◽  
Evolution Characteristics ◽  
Evolutionary Simulation

<p>The network information system is a military information network system with evolution characteristics. Evolution is a process of replacement between disorder and order, chaos and equilibrium. Given that the concept of evolution originates from biological systems, in this article, the evolution of network information architecture is analyzed by genetic algorithms, and the network information architecture is represented by chromosomes. Besides, the genetic algorithm is also applied to find the optimal chromosome in the architecture space. The evolutionary simulation is used to predict the optimal scheme of the network information architecture and provide a reference for system construction.</p><br>

scholarly journals A Graphlet-Based Topological Characterization of the Resting-State Network in Healthy People

2021 ◽  
Vol 15 ◽  
Author(s):  
Paolo Finotelli ◽  
Carlo Piccardi ◽  
Edie Miglio ◽  
Paolo Dulio
Keyword(s):  
Resting State ◽  
Brain Regions ◽  
Brain Network ◽  
Induced Subgraphs ◽  
Topological Characterization ◽  
Network Information ◽  
The Subject ◽  
Euclidean Distances ◽  
The Brain

In this paper, we propose a graphlet-based topological algorithm for the investigation of the brain network at resting state (RS). To this aim, we model the brain as a graph, where (labeled) nodes correspond to specific cerebral areas and links are weighted connections determined by the intensity of the functional magnetic resonance imaging (fMRI). Then, we select a number of working graphlets, namely, connected and non-isomorphic induced subgraphs. We compute, for each labeled node, its Graphlet Degree Vector (GDV), which allows us to associate a GDV matrix to each one of the 133 subjects of the considered sample, reporting how many times each node of the atlas “touches” the independent orbits defined by the graphlet set. We focus on the 56 independent columns (i.e., non-redundant orbits) of the GDV matrices. By aggregating their count all over the 133 subjects and then by sorting each column independently, we obtain a sorted node table, whose top-level entries highlight the nodes (i.e., brain regions) most frequently touching each of the 56 independent graphlet orbits. Then, by pairwise comparing the columns of the sorted node table in the top-k entries for various values of k, we identify sets of nodes that are consistently involved with high frequency in the 56 independent graphlet orbits all over the 133 subjects. It turns out that these sets consist of labeled nodes directly belonging to the default mode network (DMN) or strongly interacting with it at the RS, indicating that graphlet analysis provides a viable tool for the topological characterization of such brain regions. We finally provide a validation of the graphlet approach by testing its power in catching network differences. To this aim, we encode in a Graphlet Correlation Matrix (GCM) the network information associated with each subject then construct a subject-to-subject Graphlet Correlation Distance (GCD) matrix based on the Euclidean distances between all possible pairs of GCM. The analysis of the clusters induced by the GCD matrix shows a clear separation of the subjects in two groups, whose relationship with the subject characteristics is investigated.

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