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The paper deals with clarifying the role of contextual information in demand forecasting. Both judgemental and statistical forecasting methods are often needed to provide accurate forecasts. However, in practice it is often difficult to tell when judgemental intervention is needed and when it is...
We propose a new algorithmic framework, multiply sectioned constraint networks (MSCNs), for solving distributed constraint satisfaction problems (DisCSPs) with complex local problems. An MSCN is converted into a linked junction forest (LJF) and is solved by a complete algorithm. Its time...
This paper reports an exploratory study that investigates social loafing in asynchronous virtual collaboration. Specifically, we conducted an experiment to examine the following three research questions: 1) Does social loafing exist in virtual collaboration conducted in asynchronous mode?; 2)...
In this paper, a fuzzy-based interactive method for bi-level and multi-level, linear and non-linear, programming problems is proposed. In this approach product operator is used for aggregation of different fuzzy goals and MI-LXPM, a genetic algorithm, is used as optimisation technique....
Data envelopment analysis (DEA) has been widely applied in the performance evaluation of environment or economy recently. If economic and environmental systems exist simultaneously in a decision making unit (DMU), conventional DEA models generally treat the DMU as a black box, and the internal...
Extreme value theory to a certain extent is successful in modelling extreme events as it assumes that outliers follow distribution other than normal. However, a mathematical model might not just be sufficient to predict extreme events. Nowadays, extreme events have become so common that...
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