Developing the Model for Assessing the Competitiveness of Innovative Engineering Products; Applied Mechanics and Materials; Vol. 682 : Innovation Technology and Economics in Engineering

Detalles Bibliográficos
Parent link:Applied Mechanics and Materials: Scientific Journal
Vol. 682 : Innovation Technology and Economics in Engineering.— 2014.— [P. 623-630]
Autor principal: Tceplit A.
Autores Corporativos: Национальный исследовательский Томский политехнический университет (ТПУ) Юргинский технологический институт (филиал) (ЮТИ) Кафедра информационных систем (ИС), Национальный исследовательский Томский политехнический университет (ТПУ) Юргинский технологический институт (филиал) (ЮТИ) Кафедра экономики и автоматизироанных систем управления (ЭАСУ)
Otros Autores: Grigoreva A. A. Antonina Alekseevna, Osipov Yu. M. Yury Mirzoevich
Sumario:Title screen
The authors suggest the models for assessing the competitiveness of innovative engineering products (IEP): a model for forecasting the consumer’s preferences for IEP; a model for calculating fuzzy sets of alternatives of various competitiveness degrees at the early stages of research; integrated model for IEP competitiveness assessment with consideration to the stages of production, marketing and operation, the model for the rating assessment of alternatives. The paper considers the model for forming an expert committee involving fuzzy inference. The interrelation of models is shown with consideration to the life cycle of innovations.
Режим доступа: по договору с организацией-держателем ресурса
Lenguaje:inglés
Publicado: 2014
Colección:Management and Economic Aspects Development of Enterprises
Materias:
Acceso en línea:http://dx.doi.org/10.4028/www.scientific.net/AMM.682.623
Formato: Electrónico Capítulo de libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=641591
Descripción
Sumario:Title screen
The authors suggest the models for assessing the competitiveness of innovative engineering products (IEP): a model for forecasting the consumer’s preferences for IEP; a model for calculating fuzzy sets of alternatives of various competitiveness degrees at the early stages of research; integrated model for IEP competitiveness assessment with consideration to the stages of production, marketing and operation, the model for the rating assessment of alternatives. The paper considers the model for forming an expert committee involving fuzzy inference. The interrelation of models is shown with consideration to the life cycle of innovations.
Режим доступа: по договору с организацией-держателем ресурса
DOI:10.4028/www.scientific.net/AMM.682.623