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1.
Ivanov V.K., Palyukh B.V., Sotnikov A.N.
Additive Criterion to Evaluate Object Innovation Статья в журнале
Источник: Lobachevskii Journal of Mathematics, том 42, № 11, С. 2537-2544, 2021.
Аннотация | Ссылки | BibTeX | Метки: additive criterion, additive independence, demand, implementability, innovation, innovation index, novelty, partial criterion, utility function
@article{nokey,
title = {Additive Criterion to Evaluate Object Innovation},
author = {Ivanov V.K. and Palyukh B.V. and Sotnikov A.N.},
url = {https://disk.yandex.ru/i/IYx85tDFDWH6ZA
https://link.springer.com/10.1134/S1995080221110111},
doi = {10.1134/S1995080221110111},
year = {2021},
date = {2021-12-31},
urldate = {2021-12-31},
journal = {Lobachevskii Journal of Mathematics},
volume = {42},
number = {11},
pages = {2537-2544},
abstract = {The article discusses some aspects of the object descriptions having significant innovation potential. The procedure for selecting such descriptions consists of two consecutive phases. The first phase involves generating effective search queries with a special genetic algorithm. In the second phase, the model developed determines the likely innovativeness of the object. Meanwhile the values of additive selection criteria are calculated. In the latter case, the criterion is the index of innovativeness. The purpose of the article is to justify the additive criterion applicability for calculating the value of the object innovativeness. The article describes general conditions of applying additive evaluation criteria and shows how these conditions are met in the case in question. The analysis of the partial criteria gives grounds to assert their additive independence and, therefore, the correct use of additive n-dimensional utility function. Some additional reasons for applying additive criterion are also given. In general, the article proposes a unified approach to generating global assessment criteria and the relevance of their unified formal structure is shown. Note that earlier the authors proposed a similar approach to the fitness function formation of the genetic algorithm used. Despite the different physical meaning and purpose of the criteria, their relevance to common formal structure is proved.
Ivanov, V.K., Palyukh, B.V. & Sotnikov, A.N. Additive Criterion to Evaluate Object Innovation. Lobachevskii J Math 42, 2537–2544 (2021). https://doi.org/10.1134/S1995080221110111 (WoS, Scopus)},
keywords = {additive criterion, additive independence, demand, implementability, innovation, innovation index, novelty, partial criterion, utility function},
pubstate = {published},
tppubtype = {article}
}
The article discusses some aspects of the object descriptions having significant innovation potential. The procedure for selecting such descriptions consists of two consecutive phases. The first phase involves generating effective search queries with a special genetic algorithm. In the second phase, the model developed determines the likely innovativeness of the object. Meanwhile the values of additive selection criteria are calculated. In the latter case, the criterion is the index of innovativeness. The purpose of the article is to justify the additive criterion applicability for calculating the value of the object innovativeness. The article describes general conditions of applying additive evaluation criteria and shows how these conditions are met in the case in question. The analysis of the partial criteria gives grounds to assert their additive independence and, therefore, the correct use of additive n-dimensional utility function. Some additional reasons for applying additive criterion are also given. In general, the article proposes a unified approach to generating global assessment criteria and the relevance of their unified formal structure is shown. Note that earlier the authors proposed a similar approach to the fitness function formation of the genetic algorithm used. Despite the different physical meaning and purpose of the criteria, their relevance to common formal structure is proved.
Ivanov, V.K., Palyukh, B.V. & Sotnikov, A.N. Additive Criterion to Evaluate Object Innovation. Lobachevskii J Math 42, 2537–2544 (2021). https://doi.org/10.1134/S1995080221110111 (WoS, Scopus)
Ivanov, V.K., Palyukh, B.V. & Sotnikov, A.N. Additive Criterion to Evaluate Object Innovation. Lobachevskii J Math 42, 2537–2544 (2021). https://doi.org/10.1134/S1995080221110111 (WoS, Scopus)
2.
Ivanov V.K., Palyukh B.V., Sotnikov A.N.
Features of Data Warehouse Support Based on a Search Agent and an Evolutionary Model for Innovation Information Selection Статья в сборнике
Источник: Advances in Intelligent Systems and Computing. Proceedings of the Fourth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’19) , С. 120-130, Springer, Cham, 2020, ISBN: 978-30-3050-096-2.
Аннотация | Ссылки | BibTeX | Метки: data warehouse, genetic algorithm, innovation index, Innovativeness, Intelligent agent, novelty, relevance, subject search
@inproceedings{V.K.2020,
title = {Features of Data Warehouse Support Based on a Search Agent and an Evolutionary Model for Innovation Information Selection},
author = {Ivanov V.K. and Palyukh B.V. and Sotnikov A.N.},
url = {https://disk.yandex.ru/i/FT7JLsQmXPIMgQ
https://doi.org/10.1007/978-3-030-50097-9_13},
doi = {10.1007/978-3-030-50097-9_13},
isbn = {978-30-3050-096-2},
year = {2020},
date = {2020-00-01},
urldate = {2020-00-01},
booktitle = {Advances in Intelligent Systems and Computing. Proceedings of the Fourth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’19) },
volume = {1156},
pages = {120-130},
publisher = {Springer, Cham},
abstract = {Innovations are the key factor of the competitiveness of any modern business. This paper gives the systematized results of investigations on the data warehouse technology with an automatic data-replenishment from heterogeneous sources. The data warehouse is suggested to contain information about objects having a significant innovative potential. The selection mechanism for such information is based on quantitative evaluation of the objects innovativeness, in particular their technological novelty and relevance for them. The article presents the general architecture of the data warehouse, describes innovativeness indicators, considers Theory of Evidence application for processing incomplete and fuzzy information, defines basic ideas of measurement processing procedure to compute probabilistic values of innovativeness components, summarizes using evolutional approach in forming the linguistic model of object archetype, gives information about an experimental check if the model developed is adequate. The results of these investigations can be used for business planning, forecasting technological development, investment project expertise.
Ivanov, V.K., Palyukh, B.V., Sotnikov, A.N. (2020). Features of Data Warehouse Support Based on a Search Agent and an Evolutionary Model for Innovation Information Selection. In: Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Fourth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’19). IITI 2019. Advances in Intelligent Systems and Computing, vol 1156. Springer, Cham. https://doi.org/10.1007/978-3-030-50097-9_13 (Scopus)},
keywords = {data warehouse, genetic algorithm, innovation index, Innovativeness, Intelligent agent, novelty, relevance, subject search},
pubstate = {published},
tppubtype = {inproceedings}
}
Innovations are the key factor of the competitiveness of any modern business. This paper gives the systematized results of investigations on the data warehouse technology with an automatic data-replenishment from heterogeneous sources. The data warehouse is suggested to contain information about objects having a significant innovative potential. The selection mechanism for such information is based on quantitative evaluation of the objects innovativeness, in particular their technological novelty and relevance for them. The article presents the general architecture of the data warehouse, describes innovativeness indicators, considers Theory of Evidence application for processing incomplete and fuzzy information, defines basic ideas of measurement processing procedure to compute probabilistic values of innovativeness components, summarizes using evolutional approach in forming the linguistic model of object archetype, gives information about an experimental check if the model developed is adequate. The results of these investigations can be used for business planning, forecasting technological development, investment project expertise.
Ivanov, V.K., Palyukh, B.V., Sotnikov, A.N. (2020). Features of Data Warehouse Support Based on a Search Agent and an Evolutionary Model for Innovation Information Selection. In: Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Fourth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’19). IITI 2019. Advances in Intelligent Systems and Computing, vol 1156. Springer, Cham. https://doi.org/10.1007/978-3-030-50097-9_13 (Scopus)
Ivanov, V.K., Palyukh, B.V., Sotnikov, A.N. (2020). Features of Data Warehouse Support Based on a Search Agent and an Evolutionary Model for Innovation Information Selection. In: Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Fourth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’19). IITI 2019. Advances in Intelligent Systems and Computing, vol 1156. Springer, Cham. https://doi.org/10.1007/978-3-030-50097-9_13 (Scopus)
3.
Иванов В.К., Образцов И.В.
Алгоритмическая реализация экспертной оценки инновационности технических решений Статья в сборнике
Источник: Семнадцатая национальная конференция по искусственному интеллекту с международным участием. КИИ-2019. Секция 5. Принятие решений (21-25 октября 2019, г. Ульяновск, Россия) : сборник научных трудов, С. 193-202, 2019, ISBN: 9785979519388.
Аннотация | Ссылки | BibTeX | Метки: demand, evaluation, evidence theory, innovation, innovation index, invention, novelty, term, востребованность, изобретение, инновационность, новизна, оценка, свидетельство, терм
@inproceedings{nokey,
title = {Алгоритмическая реализация экспертной оценки инновационности технических решений},
author = {Иванов В.К. and Образцов И.В.},
url = {https://disk.yandex.ru/i/hRGgFqiU5Bdhdg
http://www.raai.org/resurs/papers/cai/2019/CAI-2019_1.pdf},
isbn = {9785979519388},
year = {2019},
date = {2019-10-25},
urldate = {2019-10-25},
booktitle = {Семнадцатая национальная конференция по искусственному интеллекту с международным участием. КИИ-2019. Секция 5. Принятие решений (21-25 октября 2019, г. Ульяновск, Россия) : сборник научных трудов},
volume = {1},
pages = {193-202},
abstract = {Рассмотрен подход к количественному определению инновационности технических решений и изобретений с использованием результатов поисковых запросов к различным базам данных. Предложена интерпретация исходных анализируемых данных в формальной системе теории свидетельств. Рассмотрен порядок математических операций при выводе интегральной оценки показателя инновационности изобретений в соответствии с теорией свидетельств. Описана программная реализация групповой обработки результатов оценки инновационности изобретений предложенным методом.
Algorithmic Implementation of Expert Evaluation of Innovativeness of Technical Solutions
V.K. Ivanov, I.V. Obraztsov (sunspire@list.ru)
Tver State Technical University, TverThe approach to the quantitative determination of innovativeness of technical solutions and inventions based on the results of search queries in several search engines is considered. An interpretation of the original analyzed data into the system of formalization of the theory of evidence is proposed. The order of mathematical operations in the derivation of the integral assessment of the innovation index of inventions in accordance with the theory of evidence is considered. The software implementation of group processing of the results of evaluating the innovativeness of inventions is described.
},
keywords = {demand, evaluation, evidence theory, innovation, innovation index, invention, novelty, term, востребованность, изобретение, инновационность, новизна, оценка, свидетельство, терм},
pubstate = {published},
tppubtype = {inproceedings}
}
Рассмотрен подход к количественному определению инновационности технических решений и изобретений с использованием результатов поисковых запросов к различным базам данных. Предложена интерпретация исходных анализируемых данных в формальной системе теории свидетельств. Рассмотрен порядок математических операций при выводе интегральной оценки показателя инновационности изобретений в соответствии с теорией свидетельств. Описана программная реализация групповой обработки результатов оценки инновационности изобретений предложенным методом.
Algorithmic Implementation of Expert Evaluation of Innovativeness of Technical Solutions
V.K. Ivanov, I.V. Obraztsov (sunspire@list.ru)
Tver State Technical University, TverThe approach to the quantitative determination of innovativeness of technical solutions and inventions based on the results of search queries in several search engines is considered. An interpretation of the original analyzed data into the system of formalization of the theory of evidence is proposed. The order of mathematical operations in the derivation of the integral assessment of the innovation index of inventions in accordance with the theory of evidence is considered. The software implementation of group processing of the results of evaluating the innovativeness of inventions is described.
Algorithmic Implementation of Expert Evaluation of Innovativeness of Technical Solutions
V.K. Ivanov, I.V. Obraztsov (sunspire@list.ru)
Tver State Technical University, TverThe approach to the quantitative determination of innovativeness of technical solutions and inventions based on the results of search queries in several search engines is considered. An interpretation of the original analyzed data into the system of formalization of the theory of evidence is proposed. The order of mathematical operations in the derivation of the integral assessment of the innovation index of inventions in accordance with the theory of evidence is considered. The software implementation of group processing of the results of evaluating the innovativeness of inventions is described.
4.
Иванов В.К., Садикова Д.Л., Цветкова М.В., Палюх Б.В.
Оценка новизны и востребованности изобретений как части инновационного потенциала продуктов или технологий Статья в журнале
Источник: Электронный научный журнал «Вестник молодёжной науки России», № 2, 2019, ISSN: 2658–7505.
Аннотация | Ссылки | BibTeX | Метки: demand, evidence theory, innovation, innovation index, invention, novelty, востребованность, изобретение, инновация, новизна, теория свидетельств
@article{nokey,
title = {Оценка новизны и востребованности изобретений как части инновационного потенциала продуктов или технологий},
author = {Иванов В.К. and Садикова Д.Л. and Цветкова М.В. and Палюх Б.В.},
url = {https://disk.yandex.ru/i/aLYdzSUxC3kP4A},
issn = {2658–7505},
year = {2019},
date = {2019-06-30},
urldate = {2019-06-30},
journal = {Электронный научный журнал «Вестник молодёжной науки России»},
number = {2},
abstract = {В статье представлены результаты экспериментальной оценки инновационного потенциала изобретений с точки зрения их новизны и востребованности потребителями продуктов и технологий. Описана методика проведения исследований. Приведены примеры обработки полученных данных с использованием теории свидетельств.
D.L. Sadikova, V.K. Ivanov, M.V. Tsvetkova, B.V. Palyukh
Evaluation of Novelty and Inquiry of Inventions as a Part of the Innovative Potential of Products or Technologies
The article presents the results of experimental research of innovative potential of inventions from the point of view of their novelty and demand by consumers of products and technologies. The method of carrying out the research is described. Examples of processing the obtained data using the theory of evidence are given.
},
keywords = {demand, evidence theory, innovation, innovation index, invention, novelty, востребованность, изобретение, инновация, новизна, теория свидетельств},
pubstate = {published},
tppubtype = {article}
}
В статье представлены результаты экспериментальной оценки инновационного потенциала изобретений с точки зрения их новизны и востребованности потребителями продуктов и технологий. Описана методика проведения исследований. Приведены примеры обработки полученных данных с использованием теории свидетельств.
D.L. Sadikova, V.K. Ivanov, M.V. Tsvetkova, B.V. Palyukh
Evaluation of Novelty and Inquiry of Inventions as a Part of the Innovative Potential of Products or Technologies
The article presents the results of experimental research of innovative potential of inventions from the point of view of their novelty and demand by consumers of products and technologies. The method of carrying out the research is described. Examples of processing the obtained data using the theory of evidence are given.
D.L. Sadikova, V.K. Ivanov, M.V. Tsvetkova, B.V. Palyukh
Evaluation of Novelty and Inquiry of Inventions as a Part of the Innovative Potential of Products or Technologies
The article presents the results of experimental research of innovative potential of inventions from the point of view of their novelty and demand by consumers of products and technologies. The method of carrying out the research is described. Examples of processing the obtained data using the theory of evidence are given.
5.
Иванов В.К.
Применение теории свидетельств для количественной оценки показателей инновационности объекта Статья в сборнике
Источник: Труды 16-й Национальной конференции по искусственному интеллекту с международным участием КИИ–2018 : т. 1 : Секция 3 : Интеллектуальные системы поддержки принятия решений и управления, С. 168-175, 2018, ISBN: 978-5-600-02247-8.
Аннотация | Ссылки | BibTeX | Метки: assessment, engineering solution, evidence theory, innovation, innovation index, novelty, relevance, востребованность, инновационность, новизна, оценка, теория свидетельств, техническое решение
@inproceedings{nokey,
title = {Применение теории свидетельств для количественной оценки показателей инновационности объекта},
author = {Иванов В.К.},
url = {https://disk.yandex.ru/i/8B0LBaC1bp3bUQ},
isbn = {978-5-600-02247-8},
year = {2018},
date = {2018-11-30},
urldate = {2018-11-30},
booktitle = {Труды 16-й Национальной конференции по искусственному интеллекту с международным участием КИИ–2018 : т. 1 : Секция 3 : Интеллектуальные системы поддержки принятия решений и управления},
volume = {1},
pages = {168-175},
abstract = {Рассмотрен подход к количественной оценке показателей инновационности объектов различной природы. Предложена модель оценки, основанная на использовании результатов поиска информации об объектах в базах данных. Представлено специфическое применение теории свидетельств. Описана лингвистическая модель, технология обработки результатов измерений, полученных из поисковых систем, методика оценки достоверности источника данных. На примерах показана правомерность подхода.
V.K. Ivanov. Some Results of Experimental Check of The Model of the Object Innovativeness Quantitative Evaluation
The paper presents the results of the experiments that were conducted to confirm the main ideas of the proposed approach to determining the objects innovativeness. This approach assumed that the product life cycle of whose descriptions are placed in di¥erent data warehouses is adequate. The proposed formal model allows us to calculate the quantitative value of the additive evaluation criterion of objects innovativeness. The obtained experimental data make it possible to evaluate the adopted approach correctness.
},
keywords = {assessment, engineering solution, evidence theory, innovation, innovation index, novelty, relevance, востребованность, инновационность, новизна, оценка, теория свидетельств, техническое решение},
pubstate = {published},
tppubtype = {inproceedings}
}
Рассмотрен подход к количественной оценке показателей инновационности объектов различной природы. Предложена модель оценки, основанная на использовании результатов поиска информации об объектах в базах данных. Представлено специфическое применение теории свидетельств. Описана лингвистическая модель, технология обработки результатов измерений, полученных из поисковых систем, методика оценки достоверности источника данных. На примерах показана правомерность подхода.
V.K. Ivanov. Some Results of Experimental Check of The Model of the Object Innovativeness Quantitative Evaluation
The paper presents the results of the experiments that were conducted to confirm the main ideas of the proposed approach to determining the objects innovativeness. This approach assumed that the product life cycle of whose descriptions are placed in di¥erent data warehouses is adequate. The proposed formal model allows us to calculate the quantitative value of the additive evaluation criterion of objects innovativeness. The obtained experimental data make it possible to evaluate the adopted approach correctness.
V.K. Ivanov. Some Results of Experimental Check of The Model of the Object Innovativeness Quantitative Evaluation
The paper presents the results of the experiments that were conducted to confirm the main ideas of the proposed approach to determining the objects innovativeness. This approach assumed that the product life cycle of whose descriptions are placed in di¥erent data warehouses is adequate. The proposed formal model allows us to calculate the quantitative value of the additive evaluation criterion of objects innovativeness. The obtained experimental data make it possible to evaluate the adopted approach correctness.
6.
Ivanov V.K.
Computational Model to Quantify Object Innovativeness Статья в сборнике
Источник: Proceedings of the II International Scientific and Practical Conference “Fuzzy Technologies in the Industry – FTI 2018” , С. 249-258, Ulyanovsk, 2018, ISSN: 1613-0073.
Аннотация | Ссылки | BibTeX | Метки: assessment, innovation, innovation index, Innovativeness, linguistic model, novelty, relevance
@inproceedings{nokey,
title = {Computational Model to Quantify Object Innovativeness},
author = {Ivanov V.K.},
url = {https://disk.yandex.ru/i/wHOy6DTBYeabog},
issn = {1613-0073},
year = {2018},
date = {2018-10-31},
urldate = {2022-08-29},
booktitle = {Proceedings of the II International Scientific and Practical Conference “Fuzzy Technologies in the Industry – FTI 2018” },
volume = {2258},
pages = {249-258},
publisher = {Ulyanovsk},
abstract = {The article considers the quantitative assessment approach to the innovativeness of different objects. The proposed assessment model is based on the object data retrieval from various databases including the Internet. We present an object linguistic model, the processing technique for the measurement results including the results retrieved from the different search engines, and the evaluating technique of the source credibility. Empirical research of the computational model adequacy includes the acquisition and preprocessing of patent data from different databases and the computation of invention innovativeness values: their novelty and relevance. The experiment results, namely the comparative assessments of innovativeness values and major trends, show the models developed are sufficiently adequate and can be used in further research.},
keywords = {assessment, innovation, innovation index, Innovativeness, linguistic model, novelty, relevance},
pubstate = {published},
tppubtype = {inproceedings}
}
The article considers the quantitative assessment approach to the innovativeness of different objects. The proposed assessment model is based on the object data retrieval from various databases including the Internet. We present an object linguistic model, the processing technique for the measurement results including the results retrieved from the different search engines, and the evaluating technique of the source credibility. Empirical research of the computational model adequacy includes the acquisition and preprocessing of patent data from different databases and the computation of invention innovativeness values: their novelty and relevance. The experiment results, namely the comparative assessments of innovativeness values and major trends, show the models developed are sufficiently adequate and can be used in further research.
7.
Ivanov V.K., Glebova A.G., Obrazthov I.V.
Quantitative Assessment of Solution Innovation in Engineering Education Статья в сборнике
Источник: 2018 IV International Conference on Information Technologies in Engineering Education (Inforino), 2018, ISBN: 978-1-5386-5832-1.
Аннотация | Ссылки | BibTeX | Метки: assessment, education, electronic information and educational environment, engineering education, engineering solution, iee, innovation, innovation index, novelty, relevance
@inproceedings{nokey,
title = {Quantitative Assessment of Solution Innovation in Engineering Education},
author = {Ivanov V.K. and Glebova A.G. and Obrazthov I.V.},
url = {https://disk.yandex.ru/i/09kY-liNmQvEVw},
doi = {10.1109/INFORINO.2018.8581799},
isbn = {978-1-5386-5832-1},
year = {2018},
date = {2018-10-30},
urldate = {2018-10-30},
booktitle = {2018 IV International Conference on Information Technologies in Engineering Education (Inforino)},
abstract = {The article discusses the quantitative assessment approach to the innovation of engineering system components. The validity of the approach is based on the expert appraisal of the university’s electronic information educational environment components and the measurement of engineering solution innovation in engineering education. The implementation of batch processing of object innovation assessments is justified and described.
},
keywords = {assessment, education, electronic information and educational environment, engineering education, engineering solution, iee, innovation, innovation index, novelty, relevance},
pubstate = {published},
tppubtype = {inproceedings}
}
The article discusses the quantitative assessment approach to the innovation of engineering system components. The validity of the approach is based on the expert appraisal of the university’s electronic information educational environment components and the measurement of engineering solution innovation in engineering education. The implementation of batch processing of object innovation assessments is justified and described.
Я подготовил довольно много печатных материалов. И, готовя к публикации очередной материал, я каждый раз помнил основное правило — публиковать результаты работы. Не писал текст для того, чтобы написать статью или отчет. Поэтому мне трудно найти свои работу, которая вызывала бы у меня чувство неловкости.
Также отмечу, что писал и сейчас пишу довольно медленно. Для серьезных статей хорошо, если получается одна страница в день. Многократно правлю текст, пытаясь точнее передать свою мысль. Не всегда удаётся, но стараюсь. И, как правило, начинаю с плана предполагаемых структуры и содержания. Помогает.
Результаты см. выше.