Analysis of Fuzzy Data for Polymer Production Quality Management

Гермашев, И. В.; Mashihina, Tatyana P.; Derbisher, V. E.

doi:10.1109/rusautocon.2018.8501653

Cited by 2 publications

(5 citation statements)

References 14 publications

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“…Without specifying the problem, it is quite difficult to give some universal recommendations on choosing the parameter x j . But the work (Germashev et al 2018) provides some of the most typical options: a real number, a set of real numbers, a linguistic value, and methods for calculating their values for complex systems.…”

Section: Site Appeal Modelmentioning

confidence: 99%

“…Further the parameters should be unified. For this, it is proposed to use fuzzy numbers, which can be obtained using the operator proposed in (Germashev et al 2018):…”

Section: Site Appeal Modelmentioning

confidence: 99%

“…And the equality index m j of fuzzy numbers will be calculated by the formula (Germashev et al 2018)…”

Section: Site Appeal Modelmentioning

confidence: 99%

“…The informational basis of such a model is the formal presentation of fuzzy data characteristic of a given subject area. One of such approaches to data analysis is given in (Germashev et al 2018), which allows controlling a complex system.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Site Appeal Model of a Commercial Organization

Гермашев

Dubovskaya

Derbisher

et al. 2020

"Smart Technologies" for Society, State and Economy

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Purpose: The purpose of the work is to develop a content management model that optimizes the site appeal for solving a specific commercial problem, based on an analysis of the conditions for its implementation, for a specific circle of consumers.Design/methodology/approach: The main idea of the approach is that the parameters of a particular system are presented in the form of fuzzy numbers. This allows you to distract from the subject area and correctly apply mathematical models to achieve the goal. The choice of parameters and methods for calculating their values for the systems under consideration are carried out by the most typical options, which are described in the authors' early works. An illustration of the use of the proposed model, namely, the assessment of appeal for a potential client, was carried out on the example of sites of two retail chains: Auchan (auchan.ru) and Lenta (lenta.com).The main idea of the approach is that the optimization of a specific system occurs according to implicitly specified parameters, i.e. the problem is formulated in fuzzy numbers. This allows you to escape from the subject area and make the choice of a mathematical model to achieve the correct results. The choice of parameters and methods for calculating their values for the systems under study are carried out by the most typical options, which are described in the authors' early works. A demonstration of the use of the proposed model, namely the assessment of appeal for a potential client, was carried out on the example of the sites of two retail chains: Auchan (auchan.ru) and Lenta (lenta.com).Conclusions: The perspective and effective direction of the application of the fuzzy mathematics apparatus for formalizing data in complex systems and the new possibilities of using fuzzy mathematics in process control in order to solve specific commercial problems are shown.Originality/Value: The proposed management model can be used as a tool for monitoring the state of content in a given area of parameters. The presented technique and the fuzzy mathematical model are universal in nature and can be used to control a complex system, estimated by a variety of various parameters.

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Section: Site Appeal Modelmentioning

confidence: 99%

“…Further the parameters should be unified. For this, it is proposed to use fuzzy numbers, which can be obtained using the operator proposed in (Germashev et al 2018):…”

Section: Site Appeal Modelmentioning

confidence: 99%

“…And the equality index m j of fuzzy numbers will be calculated by the formula (Germashev et al 2018)…”

Section: Site Appeal Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Site Appeal Model of a Commercial Organization

Гермашев

Dubovskaya

Derbisher

et al. 2020

"Smart Technologies" for Society, State and Economy

Self Cite

View full text Add to dashboard Cite

show abstract

“…This study is an extension of work originally presented in International Russian Automation Conference [1]. The study gives a new vector of application of fuzzy mathematics methods in the analysis of complex multifactor technical systems, including chemical-technological system (СTS), for their identification and pre-experimental research.…”

Section: Introductionmentioning

confidence: 98%

Analysis of Fuzzy Data for the Selection of Ingredients of the Polymer Composition by Technical Functions in Quality Management

Гермашев¹,

Mashihina²,

Derbisher³

et al. 2019

Adv. sci. technol. eng. syst. j.

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The task of fuzzy mathematical modeling of the composition of a polymer composition is singled out and formulated, as one of the types of chemical-technological systems for creating the theoretical foundations for managing the physicochemical properties of the material produced from this composition. Fuzzy data on the technical functions and concentration of individual ingredients that included in the composition in the form of fuzzy numbers are used as the initial formalized information at modeling the polymer composition. As a result, a parametric space is formed that describes the multicomponent system under study. The index of compliance of each parameter of the polymer composition with the requirements for the physicochemical properties and quality of the polymer material is calculated. This allows you to go to the relative dimensionless real values. Weighted voting procedure is used as an aggregate function. The obtained numerical value reflects the integral measure of the compliance of the chemical-technological system with the requirements for the polymer composition. An example of the choice of ingredients of the polymer composition by calculating using fuzzy numbers is presented. In addition to the formulation of the problem, the study develops the mathematical software for the intellectual system supporting the research and production activities of the chemical technologist to substantiate the decision to choose a polymer composition.

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Analysis of Fuzzy Data for Polymer Production Quality Management

Cited by 2 publications

References 14 publications

Site Appeal Model of a Commercial Organization

Site Appeal Model of a Commercial Organization

Analysis of Fuzzy Data for the Selection of Ingredients of the Polymer Composition by Technical Functions in Quality Management

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