@ARTICLE{26583204_101672970_2013, author = {О. Ena and Konstantin Nagaev}, keywords = {, technology roadmap, foresight, indicator of appli-cability, technology trajectory, knowledge formalization, expert surveyMAUT}, title = {Automation of the technology roadmap development. Calculation of the integral indicators of applicability}, journal = {}, year = {2013}, number = {3(25)}, pages = {56-62}, url = {https://bijournal.hse.ru/en/2013--3(25)/101672970.html}, publisher = {}, abstract = {Oleg Ena - Director, Center of Information and Analysis Systems, Institute for Statistical Studies and Economics of Knowledge, National Research University Higher School of Economics.Address: 20, Myasnitskaya str., Moscow, 101000, Russian Federation.E-mail: ovena@hse.ruKonstantin Nagaev - Senior Researcher, Center of Information and Analysis Systems, Institute for Statistical Studies and Economics of Knowledge, National Research University Higher School of Economics.Address: 20, Myasnitskaya str., Moscow, 101000, Russian Federation.E-mail:  knagaev@hse.ruRoadmapping is one of the most effective instruments for long-term strategic planning and is used worldwide for decision-making: developing and implementing strategies at the corporate tier as well as competitive and functional strategies. The most complicated kind of roadmapping is technology roadmapping which helps to evaluate how the following factors influence the domain area development. Among the factors there are grand challenges, potential commercialization of key innovational technologies, desirable configuration of products and market, etc.The research objective is to define the ways of calculating particular and integrated indicators, which concern adaptability of technology roadmap's elements and their attributes, aimed at automatization of solving such problems as foresight researching, long-term scientific forecasting and defining innovational ways of the domain area development. Thus, the paper considers solving such problems as standartizing the integrated indicators, which concern adaptability of technology roadmap's elements and their attributes, and calculating the main technology roadmapping track. Multidimensional adaptibility function is used while evaluating the technology roadmap's elements. We adapt the utility theory  MAUT to state the integrated indicator representing the aggregare function in the form of an additive convolution. To make integrated adaptability indicators more precise, we rebalance the indicators and transfer the adaptability according to the connections between the elements. Scientific and technological solutions of the paper are applied within the interactive roadmapping program complex.}, annote = {Oleg Ena - Director, Center of Information and Analysis Systems, Institute for Statistical Studies and Economics of Knowledge, National Research University Higher School of Economics.Address: 20, Myasnitskaya str., Moscow, 101000, Russian Federation.E-mail: ovena@hse.ruKonstantin Nagaev - Senior Researcher, Center of Information and Analysis Systems, Institute for Statistical Studies and Economics of Knowledge, National Research University Higher School of Economics.Address: 20, Myasnitskaya str., Moscow, 101000, Russian Federation.E-mail:  knagaev@hse.ruRoadmapping is one of the most effective instruments for long-term strategic planning and is used worldwide for decision-making: developing and implementing strategies at the corporate tier as well as competitive and functional strategies. The most complicated kind of roadmapping is technology roadmapping which helps to evaluate how the following factors influence the domain area development. Among the factors there are grand challenges, potential commercialization of key innovational technologies, desirable configuration of products and market, etc.The research objective is to define the ways of calculating particular and integrated indicators, which concern adaptability of technology roadmap's elements and their attributes, aimed at automatization of solving such problems as foresight researching, long-term scientific forecasting and defining innovational ways of the domain area development. Thus, the paper considers solving such problems as standartizing the integrated indicators, which concern adaptability of technology roadmap's elements and their attributes, and calculating the main technology roadmapping track. Multidimensional adaptibility function is used while evaluating the technology roadmap's elements. We adapt the utility theory  MAUT to state the integrated indicator representing the aggregare function in the form of an additive convolution. To make integrated adaptability indicators more precise, we rebalance the indicators and transfer the adaptability according to the connections between the elements. Scientific and technological solutions of the paper are applied within the interactive roadmapping program complex.} }