Abstract
Providing sustainable service and energy has been becoming a trend due to environmental concerns. One of the academic challenges in sustainable service and energy is identified: In the complex service sector, those data (e.g., from questionnaires) may be complicated, qualitative and in large scale. Numerous attributes which are non-regular in nature and have the impact on service performance are involved. One of the promised solution approaches is the Rough Set (RS) based approach that can deal with qualitative information and provide an individual object model based approach. However, traditional RS approaches have a few disadvantages: (i) The decision attribute in one level only that can reflects the concept hierarchy, (ii) using two stages to generate reducts and induct decision rules. This paper, an extended RS based rule induction approach is proposed while decision tables are not in traditional format. This study contributes development of the solution models to sustainable service and energy.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Roy, R. Sustainable product-service systems. Futures, 32(3–4), 289–299 (2000).sectors/tourism/documents/communications/commission-communication-2007/index_en.htm
Dyllick, T., & Hockerts, K. Beyond the business case for corporate sustainability. Business Strategy and the Environment, 11(2), 130–141. (2002).
Pan, H., & Ren, J. Discuss about Sustainable Development Service Concept of Tourism Industry. 2011 IEEE International Conference on Management and Service Science (MASS), Wuhan, 12–14 Aug. 2011, 1–4. (2011).
Selman, P. Three decades of environmental planning: What have we really learned: London: Routledge. (1999).
Han, J., & Kamber, M. Data mining: concepts and techniques (Vol. 5). San Francisco, CA, itd: Morgan Kaufmann. (2001).
Kusiak, A. A feature transformation methods in data mining. IEEE Transaction on Electronics Packaging Manufacture, 24(3), 214–221. (2001).
Hong, T.-P., Liou, Y.-L., & Wang, S.-L. Fuzzy rough sets with hierarchical quantitative attributes. Expert Systems with Applications, 36(3, Part 2), 6790–6799 (2009).
Pan, Z., Tang, J., & Fung, R. Y. K. Synchronization of Inventory and Transportation Under Flexible Vehicle Constraint: A Heuristics Approach Using Sliding Windows and Hierarchical Tree Structure. European Journal of Operational Research, 192(3), 824–836 (2009).
Shaharudin, M. R., & Zailani, S. Sustainable services in Closed Loop Supply Chains (CLSCs). 2011 IEEE Colloquium on Humanities, Science and Engineering (CHUSER) (2011).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Huang, CC., (Bill) Tseng, TL., Liu, YS., Chu, JW., Chen, PA. (2015). Agile Rough Set Based Rule Induction to Sustainable Service and Energy Provision. In: Selvaraj, H., Zydek, D., Chmaj, G. (eds) Progress in Systems Engineering. Advances in Intelligent Systems and Computing, vol 366. Springer, Cham. https://doi.org/10.1007/978-3-319-08422-0_109
Download citation
DOI: https://doi.org/10.1007/978-3-319-08422-0_109
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08421-3
Online ISBN: 978-3-319-08422-0
eBook Packages: EngineeringEngineering (R0)