We present an algorithm functioning as a supervisor module in a multi expert decision making machine. It uses the Bayes theory in order to estimate the biases of individual expert opinions. These are then used to calibrate and conciliate expert opinions to one opinion. We present a framework for simulating decision strategies using expert opinions whose properties are easily modiiable. By using...

In group decision making, different experts often think about the same problem in quite different ways. They frequently have different opinions for decision making about the same situation. Using a Bayesian network structure for optimizing problems, different experts who work as a group for projects may have different solutions for indentifying the causal relationships among variables in the BN...

background: bearing in mind the philosophical pedagogical significance of short phrases for the training of researchers in the health care ambit, we hence have studied the aphorisms and striking phrases expressed during the epidemiology course at the andalusian school of public health. methods: belonging to the qualitative type and applied through the establishment of a multidisciplinary focus ...

Sewer degradation is mainly a stochastic process. The future condition of sewers can be predicted with models based on condition states. In The Netherlands, the ‘SPIRIT’ model is being developed which combines expert opinion and visual inspections to predict sewer degradation. The statistical method implemented in this model is based on Bayesian statistics. The likelihood function of condition ...

This paper presents a method for constructing belief functions from elicited expert opinions expressed in terms of qualitative preference relations. These preferences are transformed into constraints of an optimization problem whose resolution allows the generation of the least informative belief functions according to some uncertainty measures. Mono-objective and Multiobjective optimization te...

The paper presents the method developed to assess rating points of objects with qualitative indexes. The novelty of the method lies in the fact that the authors use linguistic scales that allow to formalize the values of the indexes with the help of fuzzy sets. As a result it is possible to operate correctly with dissimilar indexes on the unified basis and to get stable final results. The obtai...

This paper presents a mixed-initiative assistant that supports a subject matter expert to extend the ontology of a learning agent, in order to express the subtle distinctions he makes in an application domain. This assistant performs a comparative analysis of the correct examples and the exceptions accumulated by the problem solving rules and guides the expert in improving its knowledge base. T...

Knowledge engineering often involves using the opinions of experts, and very frequently of a group of experts. Experts often cooperate in creating a knowledge base that uses fuzzy inference rules. On the one hand, this may lead to generating a higher quality knowledge base. But on the other hand, it may result in irregularities, for example, if one of the experts dominates the others. This pape...

In this study, workshop suggestions are offered to improve the speaking skills of secondary school 5th-grade students through web-based games. The qualitative method was used in and data were obtained by document analysis. study includes web 2.0 supported activity planned support students. activities as five online workshops. A template created planning phase using analysis method, workshops de...

The study presented in the paper is an innovative research approach. It result of linking concept supply chain management and global changes, which at present are clearly visible on a scale, with methodology based systematic literature review, knowledge visualization expert method that makes use knowledge, experience opinions experts given field. This about Delphi was conducted context developm...