Decision Analytics - A Position Paper

Author:

Carlsson ChristerORCID

Abstract

The context we address is the ‘digital or new economy’ for which we propose that Decision Analytics will be one of the key drivers. The reasons are that we need to both meet the challenges from big data/fast data and to work out new possibilities to make experience and expert knowledge accessible and usable for local, ad hoc decision makers and for automated, intelligent systems. Digitalisation brings increasing competition, slimmer margins for productivity and profitability and more pronounced requirements for effective planning, problem solving and decision making. This requires a transfer of (sometimes tacit) knowledge from experts and experi-enced people to novice system operators—and to automated, intelligent systems—a transfer we call knowledge mobilisation. We will work out reasons for why Decision Analytics will be a key part of knowledge mobilisation and an essential contribution to the development of instruments we need for the progress of digitalisation.

Publisher

University of Maribor Press

Reference22 articles.

1. C. Carlsson R. Fullér, Problem solving with multiple interdependent criteria, in: J. Kac-przyk, H. Nurmi, M. Fedrizzi (Eds.), Consensus under Fuzziness, Kluwer Academic Publishers, Boston, (1997), pp. 231-246.

2. C. Carlsson, R. Fullér, A fuzzy approach to the bullwhip effect, Cybernetics and Systems '2000, Proc. of the 15th European Meeting on Cybernetics and Systems Research, Vienna, April 25 -28, 2000, Austrian Society for Cybernetic Studies, (2000), pp. 228-233.

3. C. Carlsson, R. Fullér, Reducing the bullwhip effect by means of intelligent, soft computing methods, in: Proc. of the 34th Hawaii Internat. Conf. on System Sciences (HICSS-34), Island of Maui, Hawaii, USA, January 3- 6, (2001).

4. C. Carlsson, Soft computing in analytics: handling imprecision and uncertainty in strategic decisions, Fuzzy Econ. Rev. XVII (2) (2012) 3-21.

5. C. Carlsson, J. Mezei, M. Brunelli, Decision making with a fuzzy ontology, Soft Computing 16 (7) (2012) 1143-1152.

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