Pub Date : 2023-04-18DOI: 10.3103/S0005105523010028
M. S. Golosovskiy, A. V. Bogomolov, D. S. Tobin
An original algorithm for tuning zero-order Sugeno-type fuzzy inference systems based on statistical data is presented. The algorithm is based on selecting areas around the reference points, finding the coordinates of the center of mass of the selected areas, and using them to set up a fuzzy inference system. A convergence theorem is proven for the proposed algorithm. The paper presents the results of studying the quality of the algorithm under conditions of changing the number of membership functions of input variables and the number of statistical data points, on the basis of which the fuzzy inference systems were tuned.
{"title":"Algorithm for Setting Fuzzy Logical Inclusion Systems Based on Statistical Data","authors":"M. S. Golosovskiy, A. V. Bogomolov, D. S. Tobin","doi":"10.3103/S0005105523010028","DOIUrl":"10.3103/S0005105523010028","url":null,"abstract":"<div><p>An original algorithm for tuning zero-order Sugeno-type fuzzy inference systems based on statistical data is presented. The algorithm is based on selecting areas around the reference points, finding the coordinates of the center of mass of the selected areas, and using them to set up a fuzzy inference system. A convergence theorem is proven for the proposed algorithm. The paper presents the results of studying the quality of the algorithm under conditions of changing the number of membership functions of input variables and the number of statistical data points, on the basis of which the fuzzy inference systems were tuned.</p></div>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"57 1","pages":"1 - 9"},"PeriodicalIF":0.5,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43509787","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 : 2023-04-18DOI: 10.3103/S0005105523010077
A. O. Erkimbaev, V. Yu. Zitserman, G. A. Kobzev, A. V. Kosinov
Abstract—The paper considers issues in presenting and assessing the quality of scientific data in the materials science domain. Problems with numerical and non-numerical data of various types are presented using examples of data on the properties of reactor materials. Difficulties encountered in the description of nominal and ordinal data types in materials science are considered. A review of existing schemes for assessing data quality and their applicability in the considered examples of real data is carried out.
{"title":"About Representation and Evaluation of the Scientific Data, Numerical and Non-Numerical Nature in the Properties of Materials Research","authors":"A. O. Erkimbaev, V. Yu. Zitserman, G. A. Kobzev, A. V. Kosinov","doi":"10.3103/S0005105523010077","DOIUrl":"10.3103/S0005105523010077","url":null,"abstract":"<div><div><p><b>Abstract</b>—The paper considers issues in presenting and assessing the quality of scientific data in the materials science domain. Problems with numerical and non-numerical data of various types are presented using examples of data on the properties of reactor materials. Difficulties encountered in the description of nominal and ordinal data types in materials science are considered. A review of existing schemes for assessing data quality and their applicability in the considered examples of real data is carried out.</p></div></div>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"57 1","pages":"46 - 54"},"PeriodicalIF":0.5,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43453301","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 : 2023-04-18DOI: 10.3103/S0005105523010089
L. A. Mylnikov
The paper proposes a process model approach to enhance the economic efficiency of production systems driven by the transformation of their IT infrastructure under the dynamics of the external environments. To achieve the goal, a new notation is suggested that allows to formalize processes in organizational systems, allocate the management subject in an explicit form, simulate the work of the process model for the decision support system in order to study its performance and efficiency. As a result of the study, an algorithm has been developed to estimate how the changes of the IT infrastructure parameters affect the efficiency of the production system performance; in addition, this algorithm can be used to determine the key performance indicators of the organizational system through scheduling development plans.
{"title":"Process Models in the Management of the Decision Support System Efficiency in Production Systems","authors":"L. A. Mylnikov","doi":"10.3103/S0005105523010089","DOIUrl":"10.3103/S0005105523010089","url":null,"abstract":"<p>The paper proposes a process model approach to enhance the economic efficiency of production systems driven by the transformation of their IT infrastructure under the dynamics of the external environments. To achieve the goal, a new notation is suggested that allows to formalize processes in organizational systems, allocate the management subject in an explicit form, simulate the work of the process model for the decision support system in order to study its performance and efficiency. As a result of the study, an algorithm has been developed to estimate how the changes of the IT infrastructure parameters affect the efficiency of the production system performance; in addition, this algorithm can be used to determine the key performance indicators of the organizational system through scheduling development plans.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"57 1","pages":"17 - 30"},"PeriodicalIF":0.5,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43251759","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}