Computational Agents in Complex Decision Support Systems

2010 ◽  
pp. 117-142
Author(s):  
Antonio Fernández-Caballero ◽  
Marina V. Sokolova
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Complex Decision

Rule-Based Ontology Decision Model

2016 ◽  
pp. 271-291
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Decision Process ◽  
Support Systems ◽  
Rule Based ◽  
The Matrix ◽  
Markov Decision ◽  
Minimization Technique ◽  
Complex Decision

In chapter 7, we examined some selected case study applications of some decision support systems. Those considered were the matrix-based used in determining labour cost, sub-chaining method, linear regression, optimization (i.e. minimization) technique and Markov decision process. As earlier discussed, our focus will be on rule-based decision support systems. This is because rule-based systems are more encompassing and can easily be employed to deal with complex decision about construction activities. Hence in this chapter, an overview of rule-based decision system will be examined.

Collaborative Tangible Interface (CoTI) for Complex Decision Support Systems

2015 ◽  
pp. 415-424
Author(s):  
Salma Aldawood ◽  
Faisal Aleissa ◽  
Almaha Almalki ◽  
Tarfah Alrashed ◽  
Tariq Alhindi ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Tangible Interface ◽  
Complex Decision

Geometry and decision support system for roof installation

2015 ◽  
Author(s):  
Daiva Makutėnienė ◽  
Olga Regina Šostak ◽  
Augustinas Maceika
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Other Information ◽  
Development Processes ◽  
Complex Decision ◽  
Application Fields ◽  
Roof Design

The authors of the article carried out analysis of the complex decision support system application for roof installation methodology. This analysis was based on a created database of roof design variants. Applied methods – there were analysis of scientific literature and other information sources, study of decision support systems, analysis of its application cases, and the modelling of complex decision support system for the roofing. The authors of this work established the goal - to make feasibility study of the complex decision support system for the roofing. After the assessment of such systems creation methodology, parameters used in the system used, indicators and the practical aspects of the application, it was planned to create the prototype of the system. For this purpose decision support systems of a variety of application fields and their development processes were researched. Based on the analysis, the authors proposed the complex decision support system model.

scholarly journals Decision Support, Knowledge Representation and Management: A Balancing Act between Clinical Use and Implementation of Sophisticated Reasoning Techniques?

2007 ◽  
Vol 16 (01) ◽  
pp. 87-89
Author(s):  
B. Brigl ◽  
Keyword(s):  
Decision Support ◽  
Knowledge Representation ◽  
Decision Support Systems ◽  
Support Systems ◽  
Selection Process ◽  
Clinical Use ◽  
Clinical Environments ◽  
Complex Decision ◽  
The One ◽  
Selection Of

SummaryTo position the papers selected for the IMIA Yearbook 2007 in the context of current research in decision support, knowledge representation and management.Synopsis of the articles selected for the IMIA Yearbook 2007.In the Yearbook 2007 the best paper selection of the section Decision support, Knowledge management in Representation’ shows, that the evaluation of the influence of decision support on medical behavior and outcome is as important as research on new reasoning technologies and methods.The best paper selection process shows on the one hand that there is still a deep gap between rather small decision support solutions successfully evaluated in clinical environments and more complex decision support systems using sophisticated reasoning techniques, but lack of clinical use. On the other hand the implementation of decision support systems today benefits from research done in the last decades.

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