Technology Classification for the Purposes of Future Studies
Science, Technology and Innovation. WP BRP. Высшая школа экономики , 2018. No. 78/STI/2018.
Kuzminov I., Meissner D., Lavrynenko A. S., E. Tochilina
The paper analyses problems associated with technologies classification for the purposes of futures studies, in order to ensure definitive inclusion of technologies in specific classes/types when conventional approaches to classification are applied. The evolution of classification approaches in the scope of science philosophy is shortly reviewed, together with the latest research on expert-based and computerised (algorithmic) classification and methodological dilemmas related to hierarchical aggregation of technological and production processes are analysed. Common problems with classifying technologies and industries frequently encountered in the age of converging technologies are examined, using the agricultural sector and related industries as an example. A case study of computerised classification of agricultural technologies based on clustering algorithms is presented, with a brief analysis of the potential and limitations of the methodology. For doing so a two-stage approach to classifying technologies is suggested, based on distinguishing between platform (multipurpose) and industry-specific technologies. An adaptive approach to analysing technological structures is proposed, based on many-to-many relationships and fuzzy logic principles.
Research target: Sociology (including Demography and Anthropology
Detecting and Validating Global Technology Trends Using Quantitative and Expert-Based Foresight Techniques
, , et al., Detecting and Validating Global Technology Trends Using Quantitative and Expert-Based Foresight Techniques / Высшая школа экономики. Series WP BRP "Science, Technology and Innovation". 2018. No. 82.
This paper contributes to the conceptualisation and operationalisation of the “technology trend” discussion in the scope of the Technology Foresight paradigm. It proposes a consistent logical approach to analysing technology trends and increase predictive potential of futures studies. The approach integrates Big Data analysis into the Foresight studies’ toolset by means of applying text mining, ...
Added: October 3, 2018
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Text mining has developed rapidly in recent years. In this article, we compare classification methods that are suitable for solving problems of predicting item nonresponse. The author builds reasoning about how the analysis of textual data can be implemented in a wider research field based on this material. The author considers a number of metrics ...
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, , et al., Big-Data-Augmented Approach to Emerging Technologies Identification: Case of Agriculture and Food Sector / Высшая школа экономики. Series WP BRP "Science, Technology and Innovation". 2017. No. WP BRP 76/STI/2017.
The paper discloses a new approach to emerging technologies identification, which strongly relies on capacity of big data analysis, namely text mining augmented by syntactic analysis techniques. It discusses the wide context of the task of identifying emerging technologies in a systemic and timely manner, including its place in the methodology of foresight and future-oriented ...
Added: November 28, 2017
XII Международная научная конференция НИУ ВШЭ по проблемам развития экономики и общества. Семинар «Научно-техническая и инновационная политика»
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The concept of Z-numbers introduced by Zade in 2011 is discussed topically nowadays due to it aptitude to deal with nonlinearities and uncertainties whose are common in real life. It was a large step of representing fuzzy logic, however that numbers created much larger problems of how to calculate them or aggregate multiple numbers of ...
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The article presents the results of the study of radical innovations in the global food industry which were obtained through semantic analysis of heterogeneous unstructured text data sources by applying innovative big data text mining system. The approach used allows performing rapid, yet comprehensive aggregation of the whole polyphony of existing knowledge of the technology ...
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, В кн. : Научно-техническая конференция студентов, аспирантов и молодых специалистов НИУ ВШЭ им. Е.В. Арменского. Материалы конференции. : М. : МИЭМ НИУ ВШЭ, 2016. С. 56-58.
В работе описывается разработанная интеллектуальная система поддержки принятия решений (СППР). Рассмотрена проблема обработки нечеткой информации. Приведено описание разработанного модуля работы с нечеткими переменными, расширяющего область применения разработанной СППР. ...
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Added: October 20, 2017
Proceedings of the 8-th International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control (ICSCCW-2015)
Kaufering : b-Quadrat Verlag, 2015
Added: February 28, 2016
, , in : SAI Intelligent Systems Conference 2015 (IntelliSys 2015). : L. : IEEE, 2015. P. 105-111.
Loan provision is associated with a credit risk. Banks assess the creditworthiness of potential borrowers to lower a credit risk. Creditworthiness assessment is carried out by credit scoring methods. Most of these methods classify individuals into two categories: `good' or `bad' creditworthiness. Decision support system for loan granting based on these methods fail to differentiate ...
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М. : РИЭПП, 2008
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Analysis of existing approaches to the use of intelligent methods for solving the problem of destructive electromagnetic effects’ detection is performed. It is proposed to use an intelligent systems based on neural networks integrated with the means of fuzzy logic to detect the destructive electromagnetic effects on infocommunication system. Such approach will take into account ...
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A key element of any government's Science, Technology and Innovation policy is stable analytical infrastructure to support strategic decision making. Experience from many countries shows that substantial policy decision making requires collecting and analysing a broad range of information to develop proactive and future-oriented policies. Accordingly, infrastructure providing this information as well as evidence for ...
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Theoretical and applied studies about monitoring technology trends are carried out by organizations at global, national, sectoral, and corporate levels. Demand for them comes from the government, business, academic institutions, as well as the general public. Qualitative methods (expert interviews, surveys, workshops, etc.) play a significant role in large practical projects. At the same time, ...
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