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Ivanov V.K., Palyukh B.V., Sotnikov A.N.
Additive Criterion to Evaluate Object Innovation Journal Article
In: Lobachevskii Journal of Mathematics, vol. 42, no. 11, pp. 2537-2544, 2021.
Abstract | Links | BibTeX | Altmetric | 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)
Иванов В.К., Палюх Б.В.
Реализация экспертной системы для оценки инновационности технических решений Journal Article
In: Программные продукты и системы (Software & Systems), vol. 32, no. 4, pp. 696–707, 2019.
Abstract | Links | BibTeX | Altmetric | Метки: certificate, data warehouse, evaluation, expert system, implementability, innovation, innovation index, invention, relevance, term, востребованность, изобретение, имплементируемость, инновационность, оценка, свидетельство, терм, хранилище данных, экспертная система
@article{nokey,
title = {Реализация экспертной системы для оценки инновационности технических решений},
author = {Иванов В.К. and Палюх Б.В.},
url = {https://disk.yandex.ru/i/Q7XagjMkCUl6ew
http://www.swsys.ru/index.php?page=article&id=4658&ysclid=l6y3q7vn1k593006109},
doi = {10.15827/0236-235X.128.696-707},
year = {2019},
date = {2019-12-31},
urldate = {2022-08-17},
journal = {Программные продукты и системы (Software & Systems)},
volume = {32},
number = {4},
pages = {696–707},
publisher = {ЦПС},
abstract = {Представлено возможное решение задачи алгоритмизации количественной оценки показателей инновационности технических изделий, изобретений, технологий. Введены понятия технологической новизны, востребованности и имплементируемости – составных частей критерия инновационности продукта. Предложены модель и алгоритм вычисления каждого из указанных показателей инновационности в условиях неполноты и неточности, а иногда и противоречивости исходной информации. В статье описывается разработанное специализированное ПО, которое является перспективным методологическим инструментом для использования интервальных оценок в соответствии с теорией свидетельств. Эти оценки применяются при анализе сложных многокомпонентных систем, агрегации больших объемов нечетких и неполных данных различной структуры. Представлены состав и структура мультиагентной экспертной системы, назначение которой – групповая обработка результатов измерений и оценок значений показателей инновационности объектов. Определяются активные элементы системы, их функциональность, роли, порядок взаимодействия, входные и выходные интерфейсы, общий алгоритм функционирования ПО. Описывается реализация программных модулей, приводится пример решения конкретной задачи по определению уровня инновационности технических изделий. Разработанные подход, модели, методика и ПО могут быть использованы в реализации технологии хранилища характеристик объектов, обладающих значительным инновационным потенциалом. Формализация исходных данных задачи существенно повышает адаптивность предложенных методов к различным предметным областям. Появляется возможность обработки данных различной природы, полученных в результате опроса экспертов, из поисковой системы или даже с измерительного устройства, что способствует повышению практической значимости представленной разработки.
Implementing an expert system to evaluate technical solutions innovativeness
V.K. Ivanov 1, I.V. Obraztsov, B.V. Palyukh
The paper presents a possible solution to the problem of algorithmization for quantifying innovativeness indicators of technical products, inventions and technologies. The concepts of technological novelty, relevance and implementability as components of product innovation criterion are introduced. Authors propose a model and algorithm to calculate every of these indicators of innovativeness under conditions of incompleteness and inaccuracy, and sometimes inconsistency of the initial information. The paper describes the developed specialized software that is a promising methodological tool for using interval estimations in accordance with the theory of evidence. These estimations are used in the analysis of complex multicomponent systems, aggregations of large volumes of fuzzy and incomplete data of various structures. Composition and structure of a multi-agent expert system are presented. The purpose of such system is to process groups of measurement results and to estimate indicators values of objects innovativeness. The paper defines active elements of the system, their functionality, roles, interaction order, input and output interfaces, as well as the general software functioning algorithm. It describes implementation of software modules and gives an example of solving a specific problem to determine the level of technical products innovation. The developed approach, models, methodology and software can be used to implement the storage technology to store the characteristics of objects with significant innovative potential. Formalization of the task's initial data significantly increases the possibility to adapt the proposed methods to various subject areas. There appears an opportunity to process data of various natures, obtained during experts’ surveys, from a search system or even a measuring device, which helps to increase the practical significance of the presented research.},
keywords = {certificate, data warehouse, evaluation, expert system, implementability, innovation, innovation index, invention, relevance, term, востребованность, изобретение, имплементируемость, инновационность, оценка, свидетельство, терм, хранилище данных, экспертная система},
pubstate = {published},
tppubtype = {article}
}
Представлено возможное решение задачи алгоритмизации количественной оценки показателей инновационности технических изделий, изобретений, технологий. Введены понятия технологической новизны, востребованности и имплементируемости – составных частей критерия инновационности продукта. Предложены модель и алгоритм вычисления каждого из указанных показателей инновационности в условиях неполноты и неточности, а иногда и противоречивости исходной информации. В статье описывается разработанное специализированное ПО, которое является перспективным методологическим инструментом для использования интервальных оценок в соответствии с теорией свидетельств. Эти оценки применяются при анализе сложных многокомпонентных систем, агрегации больших объемов нечетких и неполных данных различной структуры. Представлены состав и структура мультиагентной экспертной системы, назначение которой – групповая обработка результатов измерений и оценок значений показателей инновационности объектов. Определяются активные элементы системы, их функциональность, роли, порядок взаимодействия, входные и выходные интерфейсы, общий алгоритм функционирования ПО. Описывается реализация программных модулей, приводится пример решения конкретной задачи по определению уровня инновационности технических изделий. Разработанные подход, модели, методика и ПО могут быть использованы в реализации технологии хранилища характеристик объектов, обладающих значительным инновационным потенциалом. Формализация исходных данных задачи существенно повышает адаптивность предложенных методов к различным предметным областям. Появляется возможность обработки данных различной природы, полученных в результате опроса экспертов, из поисковой системы или даже с измерительного устройства, что способствует повышению практической значимости представленной разработки.
Implementing an expert system to evaluate technical solutions innovativeness
V.K. Ivanov 1, I.V. Obraztsov, B.V. Palyukh
The paper presents a possible solution to the problem of algorithmization for quantifying innovativeness indicators of technical products, inventions and technologies. The concepts of technological novelty, relevance and implementability as components of product innovation criterion are introduced. Authors propose a model and algorithm to calculate every of these indicators of innovativeness under conditions of incompleteness and inaccuracy, and sometimes inconsistency of the initial information. The paper describes the developed specialized software that is a promising methodological tool for using interval estimations in accordance with the theory of evidence. These estimations are used in the analysis of complex multicomponent systems, aggregations of large volumes of fuzzy and incomplete data of various structures. Composition and structure of a multi-agent expert system are presented. The purpose of such system is to process groups of measurement results and to estimate indicators values of objects innovativeness. The paper defines active elements of the system, their functionality, roles, interaction order, input and output interfaces, as well as the general software functioning algorithm. It describes implementation of software modules and gives an example of solving a specific problem to determine the level of technical products innovation. The developed approach, models, methodology and software can be used to implement the storage technology to store the characteristics of objects with significant innovative potential. Formalization of the task's initial data significantly increases the possibility to adapt the proposed methods to various subject areas. There appears an opportunity to process data of various natures, obtained during experts’ surveys, from a search system or even a measuring device, which helps to increase the practical significance of the presented research.
Implementing an expert system to evaluate technical solutions innovativeness
V.K. Ivanov 1, I.V. Obraztsov, B.V. Palyukh
The paper presents a possible solution to the problem of algorithmization for quantifying innovativeness indicators of technical products, inventions and technologies. The concepts of technological novelty, relevance and implementability as components of product innovation criterion are introduced. Authors propose a model and algorithm to calculate every of these indicators of innovativeness under conditions of incompleteness and inaccuracy, and sometimes inconsistency of the initial information. The paper describes the developed specialized software that is a promising methodological tool for using interval estimations in accordance with the theory of evidence. These estimations are used in the analysis of complex multicomponent systems, aggregations of large volumes of fuzzy and incomplete data of various structures. Composition and structure of a multi-agent expert system are presented. The purpose of such system is to process groups of measurement results and to estimate indicators values of objects innovativeness. The paper defines active elements of the system, their functionality, roles, interaction order, input and output interfaces, as well as the general software functioning algorithm. It describes implementation of software modules and gives an example of solving a specific problem to determine the level of technical products innovation. The developed approach, models, methodology and software can be used to implement the storage technology to store the characteristics of objects with significant innovative potential. Formalization of the task's initial data significantly increases the possibility to adapt the proposed methods to various subject areas. There appears an opportunity to process data of various natures, obtained during experts’ surveys, from a search system or even a measuring device, which helps to increase the practical significance of the presented research.