Pub Date : 2024-03-07DOI: 10.3103/s0147688223060102
S. I. Matorin, V. V. Mikhelev
Abstract
This paper considers the second and third stages of a system-object determinant analysis, including the construction of the genetic and partitive classifications of the subject area. Class and phenomenon systems are described using the single system-object approach Node–Function–Object and formalization means in the language of descriptive logic ALCHOIQ (D). Partitive classification is obtained using a formal-semantic normative system based on the classification of alphabetical nodes and links. Examples of constructed genetic and partitive classifications are given.
{"title":"System-Object Determinant Analysis. Construction of Genetic and Partitive Classifications of the Subject Area","authors":"S. I. Matorin, V. V. Mikhelev","doi":"10.3103/s0147688223060102","DOIUrl":"https://doi.org/10.3103/s0147688223060102","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>This paper considers the second and third stages of a system-object determinant analysis, including the construction of the genetic and partitive classifications of the subject area. Class and phenomenon systems are described using the single system-object approach Node–Function–Object and formalization means in the language of descriptive logic ALCHOIQ (D). Partitive classification is obtained using a formal-semantic normative system based on the classification of alphabetical nodes and links. Examples of constructed genetic and partitive classifications are given.</p>","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"66 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140054944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-07DOI: 10.3103/s0147688223060163
V. A. Uglev
Abstract
This article presents an approach to comparing, evaluating, and improving curricula and provides a model of the parameterization of the curriculum with respect to key professional skills. To provide data concentration and analysis, we have used the method of unified graphic visualization of activity (UGVA method). We describe the results of the analysis of 36 curricula for the Russian academic speciality System Analysis and Control. The images created using the described method allowed us to summarize evaluation data for curricula, identifying differences across teaching students and best practices. After comparing the selected curriculum with others in UGVA notation, we developed recommendations for changing the curriculum structures regarding courses that developed key professional skills. General recommendations on the use of the method in decision-making are given.
{"title":"Visual Decision Support for Curriculum Development Using the UGVA Method","authors":"V. A. Uglev","doi":"10.3103/s0147688223060163","DOIUrl":"https://doi.org/10.3103/s0147688223060163","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>This article presents an approach to comparing, evaluating, and improving curricula and provides a model of the parameterization of the curriculum with respect to key professional skills. To provide data concentration and analysis, we have used the method of unified graphic visualization of activity (UGVA method). We describe the results of the analysis of 36 curricula for the Russian academic speciality System Analysis and Control. The images created using the described method allowed us to summarize evaluation data for curricula, identifying differences across teaching students and best practices. After comparing the selected curriculum with others in UGVA notation, we developed recommendations for changing the curriculum structures regarding courses that developed key professional skills. General recommendations on the use of the method in decision-making are given.</p>","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"62 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140882856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-07DOI: 10.3103/s0147688223060096
A. V. Lotov, A. I. Ryabikov, M. V. Bolgov, A. L. Buber
Abstract—
The article presents a digital decision support technique for deriving compromise rules for the water level management of Lake Baikal and the Angara River cascade of reservoirs. The proposed technique is based on interactive Pareto front visualization, which helps users find an efficient compromise between conflicting demands and validating the decision resulting from the compromise. The compromise cascade management rule developed using the technique satisfies all key demands and can be used as reference for developing state directives concerning management of water resources of the Angara River basin.
{"title":"Application of the Pareto Front to Finding Compromise Rules for Lake Baikal Water Level Management","authors":"A. V. Lotov, A. I. Ryabikov, M. V. Bolgov, A. L. Buber","doi":"10.3103/s0147688223060096","DOIUrl":"https://doi.org/10.3103/s0147688223060096","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">\u0000<b>Abstract</b>—</h3><p>The article presents a digital decision support technique for deriving compromise rules for the water level management of Lake Baikal and the Angara River cascade of reservoirs. The proposed technique is based on interactive Pareto front visualization, which helps users find an efficient compromise between conflicting demands and validating the decision resulting from the compromise. The compromise cascade management rule developed using the technique satisfies all key demands and can be used as reference for developing state directives concerning management of water resources of the Angara River basin.</p>","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"111 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140882926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-07DOI: 10.3103/s0147688223060084
A. V. Lapko, V. A. Lapko, A. V. Bakhtina
Abstract—
The properties of a new method for the hypothesis testing of the independence of random variables based on the use of a nonparametric pattern recognition algorithm corresponding to the maximum likelihood criterion are considered. The estimation of the distribution laws in classes is carried out using the initial statistical data under the assumption of the independence and dependence of the analyzed random variables. Under these conditions, estimates of the probabilities of pattern recognition errors in classes are calculated. A decision is made on the independence or dependence of random variables according to their minimum value. The results of the proposed method are compared using the Pearson criterion and the Pearson, Spearman, and Kendall correlation coefficients. When implementing the Pearson criterion, the formula for optimal discretization of the range of values of a two-dimensional random variable is used. Their effectiveness in complicating the dependence between random variables and changing the volume of initial statistical data is studied using computational experiment.
{"title":"Comparison of the Methodology for Hypothesis Testing of the Independence of Two-Dimensional Random Variables Based on a Nonparametric Classifier","authors":"A. V. Lapko, V. A. Lapko, A. V. Bakhtina","doi":"10.3103/s0147688223060084","DOIUrl":"https://doi.org/10.3103/s0147688223060084","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract—</h3><p>The properties of a new method for the hypothesis testing of the independence of random variables based on the use of a nonparametric pattern recognition algorithm corresponding to the maximum likelihood criterion are considered. The estimation of the distribution laws in classes is carried out using the initial statistical data under the assumption of the independence and dependence of the analyzed random variables. Under these conditions, estimates of the probabilities of pattern recognition errors in classes are calculated. A decision is made on the independence or dependence of random variables according to their minimum value. The results of the proposed method are compared using the Pearson criterion and the Pearson, Spearman, and Kendall correlation coefficients. When implementing the Pearson criterion, the formula for optimal discretization of the range of values of a two-dimensional random variable is used. Their effectiveness in complicating the dependence between random variables and changing the volume of initial statistical data is studied using computational experiment.</p>","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"24 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140882927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-07DOI: 10.3103/s0147688223060126
V. D. Noghin
Abstract
This paper deals with the multi-criteria problem of choice with a numerical vector function defined on a set of feasible variants. It is assumed that the decision maker uses a fuzzy preference relation for the choice process. Information on the preference relation is considered to be known in the form of a finite collection of fuzzy quanta. We formulate an algorithm to reduce the Pareto set in the multicriteria choice problem using the set of quanta in order to facilitate the final choice. A numerical example illustrates the operation of the algorithm.
{"title":"Algorithm for the Reduction of the Pareto Set Using a Collection of Fuzzy Information Quanta","authors":"V. D. Noghin","doi":"10.3103/s0147688223060126","DOIUrl":"https://doi.org/10.3103/s0147688223060126","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>This paper deals with the multi-criteria problem of choice with a numerical vector function defined on a set of feasible variants. It is assumed that the decision maker uses a fuzzy preference relation for the choice process. Information on the preference relation is considered to be known in the form of a finite collection of fuzzy quanta. We formulate an algorithm to reduce the Pareto set in the multicriteria choice problem using the set of quanta in order to facilitate the final choice. A numerical example illustrates the operation of the algorithm.</p>","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"19 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140882849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-07DOI: 10.3103/s014768822306014x
G. I. Shepelev
Abstract
A method for comparing mono-interval alternatives that makes it possible to compare in pairs the efficiency of alternatives with arbitrary distributions of the interval estimates of their quality indicators is proposed. The application of the method is demonstrated using some examples. Recommendations on the practical use of the methods are given.
{"title":"A Method of Comparing Mono-Interval Alternatives","authors":"G. I. Shepelev","doi":"10.3103/s014768822306014x","DOIUrl":"https://doi.org/10.3103/s014768822306014x","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>A method for comparing mono-interval alternatives that makes it possible to compare in pairs the efficiency of alternatives with arbitrary distributions of the interval estimates of their quality indicators is proposed. The application of the method is demonstrated using some examples. Recommendations on the practical use of the methods are given.</p>","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"20 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140882857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-07DOI: 10.3103/s0147688223060138
A. B. Petrovsky, S. V. Pronichkin, G. I. Shepelev
Abstract
The personalization of medicine is a modern concept in health care. The paper outlines the goals and objectives of preventive and personalized medicine. A multilevel hierarchical information-logical structure has been formed for the system modeling of development trends in preventive and personalized medicine. Methods for the multiaspect evaluation and selection of promising high technologies in preventive and personalized medicine are proposed.
{"title":"Information-Logical Model of the Scientific and Technological Potential of Preventive and Personalized Medicine","authors":"A. B. Petrovsky, S. V. Pronichkin, G. I. Shepelev","doi":"10.3103/s0147688223060138","DOIUrl":"https://doi.org/10.3103/s0147688223060138","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>The personalization of medicine is a modern concept in health care. The paper outlines the goals and objectives of preventive and personalized medicine. A multilevel hierarchical information-logical structure has been formed for the system modeling of development trends in preventive and personalized medicine. Methods for the multiaspect evaluation and selection of promising high technologies in preventive and personalized medicine are proposed.</p>","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"46 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140882948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-07DOI: 10.3103/s0147688223060114
S. I. Matorin, V. V. Mikhelev
Abstract—
This paper considers the construction of a partitive classification for conducting a system-object determinant analysis in a formal-semantic normative system. A formal semantic alphabet and rules for its use are described in terms of a descriptive logic. The algorithms developed provide computer support for the decomposition of a complex system in graphical-analytical modeling. An illustrative example is given.
{"title":"System-Object Determinant Analysis. Partitive Сlassification Using a Formal-Semantic Normative System","authors":"S. I. Matorin, V. V. Mikhelev","doi":"10.3103/s0147688223060114","DOIUrl":"https://doi.org/10.3103/s0147688223060114","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">\u0000<b>Abstract</b>—</h3><p>This paper considers the construction of a partitive classification for conducting a system-object determinant analysis in a formal-semantic normative system. A formal semantic alphabet and rules for its use are described in terms of a descriptive logic. The algorithms developed provide computer support for the decomposition of a complex system in graphical-analytical modeling. An illustrative example is given.</p>","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"11 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140883034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-07DOI: 10.3103/s0147688223060072
B. A. Kobrinskii
Abstract
A particularity of intelligent recommender systems in the domain of medicine is the need to take into account a diversity of numerous features, and the limitation is conditioned by the need to control recommendations made by a physician. Recommendations are not directly transferred to the user because it is necessary to ensure the safety of the patient in their fulfillment. The absence of health deviations unknown to the individual at the input of the system can cause irreversible consequences. This must be taken into account in the architecture of recommender systems for health protection.
{"title":"Intelligent Recommender Systems for Medicine. Particularities and Limitations","authors":"B. A. Kobrinskii","doi":"10.3103/s0147688223060072","DOIUrl":"https://doi.org/10.3103/s0147688223060072","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>A particularity of intelligent recommender systems in the domain of medicine is the need to take into account a diversity of numerous features, and the limitation is conditioned by the need to control recommendations made by a physician. Recommendations are not directly transferred to the user because it is necessary to ensure the safety of the patient in their fulfillment. The absence of health deviations unknown to the individual at the input of the system can cause irreversible consequences. This must be taken into account in the architecture of recommender systems for health protection.</p>","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"43 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140054816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-07DOI: 10.3103/s0147688223060011
N. B. Bakanova
Abstract—
The article discusses a new approach to the multicriteria evaluation of publication performance of research organizations by department using a specialized information resource that stores data on employees’ publications and the ARAMIS method of group verbal decision analysis. The information service is designed to generate reports on organizations’ research performance.
{"title":"Multicriteria Evaluation of Publication Performance of Research Organizations by Department","authors":"N. B. Bakanova","doi":"10.3103/s0147688223060011","DOIUrl":"https://doi.org/10.3103/s0147688223060011","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">\u0000<b>Abstract</b>—</h3><p>The article discusses a new approach to the multicriteria evaluation of publication performance of research organizations by department using a specialized information resource that stores data on employees’ publications and the ARAMIS method of group verbal decision analysis. The information service is designed to generate reports on organizations’ research performance.</p>","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"24 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140882984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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