This study proposes the use of a modified genetic algorithm (MGA), a global search technique, as a training method to improve generalizability and to identify relevant inputs in a neural network (NN) model. Generalizability refers to the NN model’s ability to perform well on exemplars (observations) that were not used during training (outof-sample); improved generalizability enhances NN’s accep...

Due to the complexity and uncertainty involved in real world decision problems, determination interpretation of Decision Makers' preference relations remain a challenging task for them. This paper develops novel procedure incorporating information efficiency analysis Making Units. The Units is defined spirit Data Envelopment Analysis, complemented with Maker's information. Our begins by aiding ...

in models of data envelopment analysis (dea), an optimal set of weights is generally assumed to represent the assessed decision making unit (dmu) in the best light in comparison to all the other dmus, and so there is an optimal set of weights corresponding to each dmu. the present paper, proposes a three stage method to determine one common set of weights for decision making units. then, we use...

The aim of this study was to explore when experts trust their intuition. Take-The-First heuristic suggests that generate a few options based on option validity match the current situation and probably pick first one they generated. In chess, rated quality moves can be used analyze fast slow decisions. We provided players with strategic (long-term) tactical (short-term) situations asked for choi...

Abstract Recent decision‐making research provides empirical evidence that human risk preferences are constructed “on the fly” during elicitation, influenced by context and method of elicitation (Kusev et al., 2020). In this article, we explore lability argue most recent choices guide decision‐making. Accordingly, our novel proposal experimental provide a psychological tool measures people's shi...