The optimal moment to address the question of how to improve human decision making has arrived. Thanks to 50 years of research by judgment and decision-making scholars, psychologists have developed a detailed picture of the ways in which human judgment is bounded. This article argues that the time has come to focus attention on the search for strategies that will improve bounded judgment becaus...

The concept of trapezoidal valued hesitant fuzzy set is introduced. Notion for distance between any two trapezoidal valued hesitant fuzzy elements is given. Using this proposed distance measure, we extend the technique for order preference by similarity to ideal solution for trapezoidal valued hesitant fuzzy sets. An example is constructed to show usefulness of this extension for multicriteria ...

Planning and control are critical problems in industry. In this paper, we propose a planning framework called PRUDENT to address many common issues and challenges we are facing in industrial applications, including incompletely known world models, uncertainty, and very large problem spaces. This framework considers planning as sequential decision-making and applies integrated planning and learn...

Many approaches have been suggested for the evaluation of decision support systems (DSS). Most attempt to produce a single evaluation measure, usually based on the opinions of a single group. As DSS development and use can involve a large number of different people, this approach may be deficient. We propose a framework that takes into account multiple groups or constituencies within the evalua...

Appropriateness of AdvancedDiagnostic Imaging Ordering Before andAfter Implementation of Clinical Decision Support Systems Computerized clinical decision support (CDS) systems that match patient characteristics against appropriateness criteria to produce algorithmic treatment recommendations are a potentialmeansof improving care.1,2 TheProtectingAccess to Medicare Act of 2014mandates use of CDS...

OBJECTIVES The use of clinical decision support systems (CDSS) can improve the overall safety and quality of health care delivery, but may also introduce machine-related errors. Recent concerns about the potential for CDSS to harm patients have generated much debate, but there is little research available to identify the nature of such errors, or quantify their frequency or clinical impact. M...