Development and use of remediation technologies for contaminated soils and water progresses at a very fast pace and thus a large number of cleanup alternatives emerge. The selection of the most appropriate Remediation technology for the given site must be based on many, usually conflicting, criteria. To successfully apply all these criteria a multicriteria decision support system (DSS) is neede...

IntroductIon Finding appropriate decision support systems (DSS) development processes and methodologies is a topic that has kept researchers in the decision support community busy for the past three decades at least. Inspired by Gibson and Nolan's curve (Gibson & Nolan 1974; Nolan, 1979), it is fair BLOCKINto BLOCKINcontend BLOCKINthat BLOCKINthe BLOCKINfield BLOCKINof BLOCKINDSS BLOCKINdevelop...

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...

This paper reviews the problems, approaches and analytical models on project control systems and discusses the possible research extensions. The discussion could help to identify open problems and research areas with wide practical applications which require further research. Furthermore, the conclusions summarized might serve as a useful base for developing decision support systems (DSS) that ...

This article relates to the concept of urban expansion reduction in limited areas, called “de-sprinkling districts”, and methods of designation of their range, as well as modelling and management of their network. This concept was developed from research concluded in 2016, referring to 50 years of urban evolution in Italy, that investigated and diagnosed the forms of urban growth focusing on th...

We present a new approach to the design of a decision support system (DSS) in anesthesia which converts the available data to relevant information. Instead of a patient-driven design (patient modelling), we use a decision-driven design (anesthetist modelling). This approach results in a system consisting of three stages. First, the incoming data is validated to ensure reliable further processin...

Customer’s behavior and satisfaction are always play important role to increase organization’s growth and market value. Customers are on top priority for the growing organization to build up their businesses. In this paper presents the architecture of Decision Support Systems (DSS) in connection to deal with the customer’s enquiries and requests. Main purpose behind the proposed model is to enh...

Many safety-critical systems have a human-in-the-loop for some part of their operation, and rely on the higher cognitive abilities of the human operator for fault diagnosis and risk-management decision-making. Although these operators are often experts on the processes being controlled, they still sometimes misjudge situations or make poor decisions. There is thus potential for Safety Decision ...