Facilitating ad-hoc abstraction to improve end-user programmed decision support tools

Author(s):  
Henry Thomas
2021 ◽  
Vol 145 ◽  
pp. 104323
Author(s):  
Griphin Baxter Chirambo ◽  
Adamson S. Muula ◽  
Matthew Thompson ◽  
Victoria E. Hardy ◽  
Ciara Heavin ◽  
...  

Author(s):  
Toni Jarimo ◽  
Peter Ljubic ◽  
Jiri Hodík ◽  
Iiro Salkari ◽  
Marko Bohanec

Virtual organization partner selection has recently attracted the attention of researchers from various fields. The need for partner selection arises when a broker (e.g., Katzy & Dissel, 2001) identifies a collaboration opportunity and is willing to form a virtual organization (VO). Several researchers have suggested that a pool of proactively cooperating organizations would be an efficient platform for creating VOs (Lau & Wong, 2001; Camarinha-Matos & Afsarmanesh 2003; Tølle & Bernus, 2003). Here, we follow the terminology of Camarinha-Matos and Afsarmanesh (2003), who call this pool a virtual organization breeding environment (VBE). The idea is that a VBE provides a common structure for repeated VO creation, hence decreasing the costs related to ad hoc VO creation. Such a VBE structure includes, for instance, a common ICT infrastructure, contract templates and decision-support tools for agile VO creation.


2020 ◽  
pp. 323
Author(s):  
Nour Elislam Djedaa ◽  
Abderrezak Moulay Lakhdar

2007 ◽  
Vol 7 (5-6) ◽  
pp. 53-60
Author(s):  
D. Inman ◽  
D. Simidchiev ◽  
P. Jeffrey

This paper examines the use of influence diagrams (IDs) in water demand management (WDM) strategy planning with the specific objective of exploring how IDs can be used in developing computer-based decision support tools (DSTs) to complement and support existing WDM decision processes. We report the results of an expert consultation carried out in collaboration with water industry specialists in Sofia, Bulgaria. The elicited information is presented as influence diagrams and the discussion looks at their usefulness in WDM strategy design and the specification of suitable modelling techniques. The paper concludes that IDs themselves are useful in developing model structures for use in evidence-based reasoning models such as Bayesian Networks, and this is in keeping with the objectives set out in the introduction of integrating DSTs into existing decision processes. The paper will be of interest to modellers, decision-makers and scientists involved in designing tools to support resource conservation strategy implementation.


2021 ◽  
Vol 167 ◽  
pp. 112313
Author(s):  
Zhaoyang Yang ◽  
Zhi Chen ◽  
Kenneth Lee ◽  
Edward Owens ◽  
Michel C. Boufadel ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document