Shakya S.,Intelligent Systems Research Center |
Chin C.M.,Intelligent Systems Research Center |
Owusu G.,Intelligent Systems Research Center
Knowledge-Based Systems | Year: 2010
This paper describes an applied research work that looks at different ways to effectively manage resources. Particularly, it describes how revenue management techniques can be used to balance demand against capacity, and describes a system that uses different OR and AI techniques to intelligently price diverse products and services. This system can produce pricing policies for wide range of products and services regardless of the model of demand used. The system incorporates a model specification layer, which provides flexibility in defining the demand model for different products. It also incorporates an optimisation layer, which takes the specified model as an input and produces the pricing and production guidelines for the product. The system can be either used as a stand alone system or can be incorporated as a generic modelling and optimisation component within a larger revenue management system. © 2009 Elsevier B.V. All rights reserved.
Martin T.,University of Bristol |
Martin T.,Intelligent Systems Research Center |
Shen Y.,Hewlett - Packard |
Majidian A.,University of Bristol |
Majidian A.,Intelligent Systems Research Center
International Journal of Intelligent Systems | Year: 2010
Digital obesity, or information overload, is a widely recognized yet largely unsolved problem. Lack of metadata'that is, a useful and usable description of what is represented by data'is one of the fundamental obstacles preventing the wider use of computational intelligence techniques in tackling the problem of digital obesity. In this paper, we propose the use of fuzzy formal concept analysis to create simple taxonomies, which can be used to structure data and a novel form of fuzzy association rule to extract simple knowledge from data organized hierarchically according to the discovered taxonomies. The association strength is monitored over time, as data sets are updated. Feasibility of the methods is shown by applying them to a large (tens of thousands of entries) database describing reported incidents of terrorism. © 2010 Wiley Periodicals, Inc.