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Strategic R&D Project Analysis: Keeping It Simple and Smart

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Fuzzy Technology

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 335))

Abstract

Strategic R&D projects require forward-looking analysis and face structural uncertainty, which means that most often precise and detailed information about them is unavailable. This means that any systems that are used in managing them must be robust enough to handle the available imprecise information, while at the same time being simple enough to convey a good-enough overall understanding of these projects. Fuzzy numbers are a precise way of representing imprecise information. Triangular fuzzy numbers are simple to use and have an intuitively understandable graphical presentation. Scorecards are a well-known simple structured tool for the collection and analysis of information. This chapter proposes using triangular fuzzy numbers with scorecards to create a simple, easy to understand, easy to visualize, low-cost, multi-expert analysis tools for strategic R&D projects that can be created by anyone with a laptop computer and spread-sheet software. New weighted averaging operators that are able to handle interdependence between criteria are presented. A numerical example is used to illustrate how a system based on the above-mentioned components works, and how it may offer smart decision-support for the management of strategic R&D projects, under structural uncertainty.

Using fuzzy scorecards to collect data for strategic R&D projects & analyzing and selecting projects with a system that uses new fuzzy weighted averaging operators.

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Authors and Affiliations

  1. School of Business, Lappeenranta University of Technology, Lappeenranta, Finland

    Mikael Collan & Pasi Luukka

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  1. Mikael Collan
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  2. Pasi Luukka
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Correspondence to Mikael Collan .

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Editors and Affiliations

  1. School of Business and Management, Lappeenranta University of Technology, Lappeenranta, Finland

    Mikael Collan

  2. Universita di Trento, Trento, Italy

    Mario Fedrizzi

  3. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

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Collan, M., Luukka, P. (2016). Strategic R&D Project Analysis: Keeping It Simple and Smart. In: Collan, M., Fedrizzi, M., Kacprzyk, J. (eds) Fuzzy Technology. Studies in Fuzziness and Soft Computing, vol 335. Springer, Cham. https://doi.org/10.1007/978-3-319-26986-3_10

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  • DOI: https://doi.org/10.1007/978-3-319-26986-3_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26984-9

  • Online ISBN: 978-3-319-26986-3

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