Journal article
Assessment of corporate innovation capability with a data-mining approach: industrial case studies
Computers & industrial engineering, Vol.102, pp.58-68
12/2016
DOI: 10.1016/j.cie.2016.10.018
Abstract
•A fuzzy-logic based data-mining approach is proposed in this paper.•Two industrial case studies are conducted to illustrate the proposed approach.•The fuzzy-grid based rule-mining algorithm is used to verify the proposed approach.
The interest in assessment of innovation capability of manufacturing systems is fueled by the growing competition. At this time, there is no generally accepted model to evaluate innovation capability of manufacturing systems. In this paper, a fuzzy-logic based data-mining approach is proposed to assess innovation capability of manufacturing systems. The proposed algorithm is illustrated with two industrial case studies representing two different industry sectors. The results derived from these case studies demonstrate advantages of the proposed algorithm in assessing corporate innovation capability.
Details
- Title: Subtitle
- Assessment of corporate innovation capability with a data-mining approach: industrial case studies
- Creators
- Serkan Altuntas - Yıldız Technical UniversityTurkay Dereli - İskenderun Technical UniversityAndrew Kusiak - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Computers & industrial engineering, Vol.102, pp.58-68
- Publisher
- Elsevier Ltd
- DOI
- 10.1016/j.cie.2016.10.018
- ISSN
- 0360-8352
- eISSN
- 1879-0550
- Language
- English
- Date published
- 12/2016
- Academic Unit
- Industrial and Systems Engineering; Nursing
- Record Identifier
- 9984187078102771
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