Towards digital cognitive clones for the decision-makers: adversarial training experiments

Towards an Intelligent Tutoring System for Environmental Decision Makers

The paper presents a novel approach which aims to support the training of decision makers in maritime environmental pollution policies via an intelligent tutoring system that focuses on the automatic generation of self-assessment material. More specifically, the paper reports on the automatic construction of multiple-choice question tests from knowledge bases i.e. domain ontologies, instances, ...

Towards Principled Methods for Training Generative Adversarial Networks

The goal of this paper is not to introduce a single algorithm or method, but to make theoretical steps towards fully understanding the training dynamics of generative adversarial networks. In order to substantiate our theoretical analysis, we perform targeted experiments to verify our assumptions, illustrate our claims, and quantify the phenomena. This paper is divided into three sections. The ...

Interval-Valued Hesitant Fuzzy Method based on Group Decision Analysis for Estimating Weights of Decision Makers

In this paper, a new soft computing group decision method based on the concept of compromise ratio is introduced for determining decision makers (DMs)' weights through the group decision process under uncertainty. In this method, preferences and judgments of the DMs or experts are expressed by linguistic terms for rating the industrial alternatives among selected criteria as well as the relativ...

Emotional Decision-Makers and Anomalous Attitudes towards Information∗

We use a simple version of the Psychological Expected Utility Model (Caplin and Leahy, QJE, 2001) to analyze the optimal choice of information accuracy by an individual who is concerned with anticipatory feeling. The individual faces the following trade-off: on the one hand information may lead to emotional costs, on the other the higher the information accuracy, the higher the efficiency of de...

A hybrid decision making system using DEA and fuzzy models for supplier selection in the presence of multiple decision makers