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• W2892392456 startingPage "447" @default.
• W2892392456 abstract "Technology roadmap has long been regarded as a useful tool for linking business to technologies. Accordingly, establishing the relationships between market, product and technology elements is an essential part of successful technology roadmap development. Despite the significance as of analysing such relationships, however, few previous attempts have been made to address this issue. To overcome the limitations of previous studies, therefore, this study focused on the relationships between the diverse roadmap layers and aimed to develop a decision-support tool to investigate these relationships. To this end, fuzzy inference was applied to determine the relative importance of link between the roadmap elements, considering the degree of significance as well as the degree of relationship between the two. This study is expected to contribute to the existing roadmap literature by emphasising the value of relationship analysis, and can also be useful in practice by improving the quality of information on technology roadmap." @default.
• W2892392456 created "2018-10-05" @default.
• W2892392456 creator A5008976825 @default.
• W2892392456 creator A5078875866 @default.
• W2892392456 date "2018-09-30" @default.
• W2892392456 modified "2023-10-14" @default.
• W2892392456 title "Integrating fuzzy-set theory into technology roadmap development to support decision-making" @default.
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• W2892392456 doi "https://doi.org/10.1080/09537325.2018.1522432" @default.
• W2892392456 hasPublicationYear "2018" @default.
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