Decision Support For The Management Of Lipid Disorders Using Causal Probabilistic Networks: A Development Strategy

Author(s):  
Rees ◽  
Carson ◽  
Cramp ◽  
Watts
2015 ◽  
Vol 21 (6) ◽  
pp. 869-884 ◽  
Author(s):  
Dalė DZEMYDIENĖ ◽  
Saulius MASKELIŪNAS ◽  
Arūnas MILIAUSKAS ◽  
Ramutė NAUJIKIENĖ ◽  
Giedrė DZEMYDAITĖ

Our research concerns the development of a unified coherent framework for evaluating water contamination processes and solving environment protection problems according to sustainable development requirements. The research investigations are made according to the requirements of the European Union (EU) Water Framework Directive and Sustainable Development Strategy. The article describes the decision support processes, based on integration of distributed data warehouses that are on the responsibility of different institutions. The Water Resource Management Information System became the kernel component of a decision support system. We analyse the possibilities of composing e-services in a semi-automatic way for decision support by analysing data processes in the water management sector. We would like to show the possibilities of integrating of data into a web portal from the distributed databases of the water management sector. The information infrastructure of e-service provision is constructed by ensuring the requirements of interoperability. The composition mechanisms of e-service are based on SOA, i.e. service-oriented architecture, and the Goal-Based Service Framework idea. The results are demonstrated on wastewater discharges from farms and household production into surface waters of Lithuanian districts during the period of 2003–2012 years. The water resource management domain specification is based on the goal-based service ontology.


Author(s):  
Deirdre Ni Fhaircheallaigh ◽  
Margaret Sinnott ◽  
Jane Grimson ◽  
Tony McGill ◽  
Rory O’Moore

2007 ◽  
Vol 30 ◽  
pp. 93-102 ◽  
Author(s):  
Leonard Leibovici ◽  
Mical Paul ◽  
Anders D. Nielsen ◽  
Evelina Tacconelli ◽  
Steen Andreassen

Author(s):  
Carolyn Conner Seepersad ◽  
Farrokh Mistree ◽  
Janet K. Allen

Product variety can be provided more efficiently and effectively by creating families of products based on product platforms. One of the major advantages of the development of product platforms is the facilitation of an overall product development strategy, and an important factor in product development is the evolution of a family of products, including addition and retirement of products as well as changing demand and associated production quantities. In this paper, we present a quantitative approach for designing multiple product platforms for an evolving family of products. The approach is based on the utility-based compromise Decision Support Problem—a multi-objective decision support model with an objective function derived from utility theory. With this approach, a designer can model and consider multiple factors that influence the embodiment of product platforms as well as non-deterministic evolution of a portfolio of products serviced by the product platforms. We apply this approach to an example study of a family of absorption chillers, designed for a variable marketplace. Our emphasis is on the approach rather than the results, per se.


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