Abstract The notable characteristic of large-scale linguistic decision-making problems is that there are so many decision makers who provide assessments by using fuzzy representation models. In real-world applications, terms mean different things for people, and based on models may be simultaneous in the same problems. To this end, a novel method voting model proposed paper to deal with multi-l...

The increasing scope and availability of genetic testing options for patients suffering from cancer has raised questions about how to use results of molecular diagnostics to inform patient care. For some biomarkers (e.g. BRAF mutations in melanoma), standards exist that outline treatments for individuals harboring aberrations in the biomarker; however for the vast majority of genomic abnormalit...

In implementing genetic testing on a larger scale, there is a need to understand who the consumer of genetic testing really is. One must therefore consider the uniqueness of every individual’s psychological, social, cognitive and behavioral profiles. According to these premises, we assume that having information about the consumers’ psychosocial-cognitive state would help healthcare professiona...

When clinicians facilitate and patients make decisions about predictive genetic testing, they often base their choices on the predicted emotional consequences of positive and negative test results. Research from psychology and decision making suggests that such predictions may often be biased. Work on affective forecasting-predicting one's future emotional states-shows that people tend to overe...

Predictive genetic testing in childhood is generally considered morally justified only if there are clear medical benefits to be obtained from testing that cannot be obtained otherwise. In clinical genetics, physicians and genetic counsellors have traditionally acted as gatekeepers against unwarranted genetic testing of children, protecting them against harm and respecting their right not to kn...