Identification of Scientific Collaborations: Information Model and Quality Features

Abstract

Abstract. The paper considers the problem of constructing a system for evaluating the research activities of the scientific and pedagogical staff (SPS) in a higher educational institution. The analysis of the SPS publication activity in the Nosov Magnitogorsk State Technical University is carried out. The concept of publication collaboration and its comparison with the definition and type of the graph is presented. The research revealed some signs of false collaborations and formed the structure of the array for the collaboration of two scientific and pedagogical workers. Based on the description of the array, an adjacency matrix is constructed, the components of which are its elements. As a result of applying the theory of fuzzy sets, the structure of the linguistic variable Collaboration is determined for defining the type of collaboration and built the membership function for one of the components of the variable.

Deterministic and Stochastic Model in the Structuring of Batch Within an Arc Furnace for Multi Objective Optimization

“…In [4][5][6], the authors considered mathematical models for the selection of the structure of charge materials:…”

“…The disadvantages of the mathematical models given in [4][5][6] are: 1) the model is limited by the conditions of steel melting for one type of EAF: EAF-180; 2) the limited number of constituents of charge materials with basic raw materials (scrap metal, liquid and solid cast iron, hot briquetted iron);…”

Intelligent Support System of Steel Technical Preparation in an Arc Furnace: Functional Scheme of Interactive Builder of the Multi Objective Optimization Problem

“…When building the system, there is a need for the organization and maintenance of specialized software for an automated system of technical preparation of production, including the formation of a database with a ready-made solutions [9]. Compliance with the requirements for the chemical composition of steel, the cost of finished products, the saving of energy resources leads to the formulation of disparate tasks of multi-criteria optimization that do not have a relationship between the obtained solutions [10][11][12][13]. That is why, there is a need to create a system of continuous monitoring and process management [5], which requires automation of management processes and decisionmaking in the automated mode at all stages of metallurgical operations.…”