The benefits of design decision support systems (DDSSs) in the architectural planning context have been proven research and are increasingly used practice. sense purpose apparent. weighing most diverse ideas approaches required for problems that cannot be solved unambiguously characterized by complex, open issues tasks, coupled with contradictory criteria. DDSSs planners/decision-makers objecti...

Food shortage has been among the most threatening problems to the world since the beginning of the new century. And it means more to the countries with a large amount of citizens such as China. Chinese governments at different levels have being taken different kinds of actions to stabilize and increase the yields of grains. A major premise of making right decisions is the ability to accurately ...

The pervasive application of algorithmic decision-making is raising concerns on the risk unintended bias in AI systems deployed critical settings such as healthcare. detection and mitigation model a very delicate task that should be tackled with care involving domain experts loop. In this paper we introduce FairLens, methodology for discovering explaining biases. We show how tool can audit fict...

Decision-making behavior is heterogeneous. We therefore suggest building a decision support system for online purchase decisions that can support various different decision strategies and also allows users to mix them. We design this minimally restrictive system by decomposing different strategies into their component steps and implementing aids for supporting these steps. We empirically compar...

Since primeval times, mankind has attempted to explain natural phenomena using models. For the past four decades, a new kind of modeler, the healthcare informatician, has developed and proliferated a new kind of model, the Clinical Diagnostic Decision Support System (DDSS). Modeling historically was, and still remains, an inexact science. Ptolemy, in the “Almagest,” placed the earth at the cent...