We consider different models combining opinions of two experts given at specific time points when forecasting with dynamic models. We describe a Bayesian approach for inference and prediction in such situations, using both historical data and current expert’s opinions. We consider cooperation cases in which experts’ opinions are merged into a class of priors or an expert provides information to...

For a multi-attribute group decision making (MAGDM) problem, the so-called consensus reaching process is used to achieve an agreement among experts and finally make a common decision. Unfortunately, so far the consensus models for MAGDM haven’t been completely studied, especially for MAGDM under uncertain linguistic environment. The disadvantages of most existing consensus models could be summa...

The problem of consensus reaching in the group decision making situations is considered. Assuming a heterogeneous and linguistic group decision making context various linguistic consensus measures are presented to guide the consensus process. Considering linguistic preference relations to provide experts' opinions, they are deened in three levels of action: level of the pairs alternatives, leve...

The aim of this paper is to use data mining technique and opinion mining(OM) concepts to the field of health informatics. The decision making in health informatics involves number of opinions given by the group of medical experts for specific disease in the form of decision based opinions which will be presented in medical database in the form of text. These decision based opinions are then min...

In this paper, we proposed a methodology based on group decision making for aggregating and weighting expert knowledge or opinions and identifying the final agreement for a group of experts. We use a case study on causes of Alzheimer’s Disease (AD) for an illustration of the procedural steps in the proposed methodology. We begin by mapping nine most commonly discussed possible causes or risk fa...

This article describes a mathematical framework for conceptualizing the accuracy of forensic experts' opinions on competence to stand trial (CST) and explains how an expert's expressed opinion about CST can be decomposed into four elements: (1) contextual requirements of the defendant (determined partly by the defendant's past actions) that lie outside the defendant's future control; (2) person...

Multiple studies have documented major limitations in the informed consent process for the recruitment of clinical research participants. One challenging aspect of this process is successful communication of risks and benefits to potential research participants. This study explored the opinions and attitudes of informed consent experts about conveying risks and benefits to inform the developmen...

In many computational linguistic scenarios, training labels are subjectives making it necessary to acquire the opinions of multiple annotators/experts, which is referred to as ”wisdom of crowds”. In this paper, we propose a new approach for modeling wisdom of crowds based on the Latent Mixture of Discriminative Experts (LMDE) model that can automatically learn the prototypical patterns and hidd...

The problem of histogram thresholding is tackled using a modular expert network. The modular expert network is a network of expert modules modulated by a gating network. The expert modules incorporate individual experts’ opinions on the thresholding problem. The difficult task of integration of conflicting experts’ opinions is achieved through a training of the gating network using backpropagat...