Group decision making is a type of decision problem in which multiple experts acting collectively, analyze problems, evaluate alternatives, and select a solution from a collection of alternatives. As the natural language is the standard representation of those concepts that humans use for communication, it seems natural that they use words (linguistic terms) instead of numerical values to provi...

In a decision making framework experts often use linguistic variables to describe their opinions or preferences. When experts are allowed to use their own set of terms, syntactic and semantic differences in the vocabularies may be found. In this work we propose a method that uses clustering techniques to aggregate data, and which gives the result in terms of the vocabulary of one of the experts...

The task of designing secure software systems is fraught with uncertainty, as data on uncommon attacks is limited, costs are difficult to estimate, and technology and tools are continually changing. Consequently, experts may interpret the security risks posed to a system in different ways, leading to variation in assessment. This paper presents research into measuring the variability in decisio...

We analyze a market where the consumer must rely on experts to identify the correct type of service. Medical services, repair services and various types of consulting and advisory services belong to this broad category. Our focus is on situations where the diagnosis of the consumer’s needs is costly and the expert’s effort is unobservable. We develop a model where experts offer competing contra...

Learning Bayesian network structures from data is known to be hard, mainly because the number of candidate graphs is super-exponential in the number of variables. Furthermore, using observational data alone, the true causal graph is not discernible from other graphs that model the same set of conditional independencies. In this paper, it is investigated whether Bayesian network structure learni...

The paper is devoted to the process of Ukraine's integration into European Union, namely, analysis historical path, comparison opinions domestic and foreign experts, forecasting possible economic legal disadvantages advantages. authors analyze legislative provisions Association Agreement between Ukraine Union. emphasize that international processes are currently having a significant impact on f...

We define a hierarchical method for expert opinion aggregation that combines consonant beliefs in the Transferable Belief Model. Experts are grouped into schools of thought, then opinions are aggregated using the cautious conjunction operator within groups and the noninteractive disjunction across. This method is illustrated with a realworld dataset including 16 experts.

I investigate when and how principals can use external experts to monitor agents when agents control information necessary for monitoring. In particular, I provide a theoretical model to examine in what circumstances external experts can assist boards of directors in discharging their management oversight and investment approval duties. Management controls relevant information about an investme...

This paper presents a Fuzzy Consensus Qualitative Risk Analysis framework to identify and prioritize risks encountered in real estate projects, which is applied to developing countries. The framework incorporates the consensus and quality of experts in the process of evaluating risk events and is composed of (1) a Fuzzy Expert System (FES)to determine qualification of experts;(2) Fuzzy Similari...