Big data based intelligent decision support system for sustainable regional development

Zhou, Hong and Noble, Christopher and Cotter, Julie (2015) Big data based intelligent decision support system for sustainable regional development. In: 2015 International Conference on Big Data Intelligence and Computing (DataCom 2015), 19-21 Dec 2015, Chengdu, China.

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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.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 08 Jun 2016 00:11
Last Modified: 27 Jun 2016 05:49
Uncontrolled Keywords: decision making; business model; sustainability; big data; bilevel programming
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080605 Decision Support and Group Support Systems
Socio-Economic Objective: B Economic Development > 91 Economic Framework > 9104 Management and Productivity > 910402 Management
URI: http://eprints.usq.edu.au/id/eprint/29092

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