Big data based intelligent decision support system for sustainable regional development
Paper
Paper/Presentation Title | Big data based intelligent decision support system for sustainable regional development |
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Presentation Type | Paper |
Authors | Zhou, Hong (Author), Noble, Christopher (Author) and Cotter, Julie (Author) |
Journal or Proceedings Title | Proceedings of 2015 International Conference on Big Data Intelligence and Computing |
Number of Pages | 5 |
Year | 2015 |
Web Address (URL) of Paper | http://umc.uestc.edu.cn/conference/DataCom2015/DataCom_acceptedpaperlist.php |
Conference/Event | 2015 International Conference on Big Data Intelligence and Computing (DataCom 2015) |
Event Details | 2015 International Conference on Big Data Intelligence and Computing (DataCom 2015) Event Date 19 to end of 21 Dec 2015 Event Location Chengdu, China |
Abstract | Timely intelligent decision making is increasingly important for modern society. With the availability of big data and advanced artificial intelligence in decision making, more objective and evidence-based quantitative smart decisions can be made in a timely manner. This research proposed a big data based intelligent decision support system (B-IDSS) for sustainable business development. The system can be used by both the government agencies and corporate business (e.g. farms. mining) in advanced planning, collaboration and management. This paper also addresses the performance optimization as bilevel decision-making problem with one leader and multiple followers. An extended Kuhn-Tucker approach is introduced as one of the algorithms that can be adapted in the system. |
Keywords | decision making; business model; sustainability; big data; bilevel programming |
ANZSRC Field of Research 2020 | 460902. Decision support and group support systems |
Public Notes | © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | School of Mechanical and Electrical Engineering |
Australian Centre for Sustainable Business and Development | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q36xv/big-data-based-intelligent-decision-support-system-for-sustainable-regional-development
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