@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}

}

@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}

}

@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}

}

@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}

}

@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}

}