Discrepancies and Analogies in Artificial Intelligence and Engineering Design Approaches in Addressing Collaborative Decision-Making

Janković, Marija; Zaraté, Pascale

doi:10.4018/jdsst.2011040101

Cited by 5 publications

(1 citation statement)

References 19 publications

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“…[15] and [14] described the fuzzy randomness in bi-level programming problem using fuzzy random variable coefficients. [9] examines the discrepancies and analogies in addressing the collaborative decision making in two scientific fields: artificial intelligence and engineering design.…”

Section: Introductionmentioning

confidence: 99%

Bi-level optimization based on fuzzy if-then rule

Singh

Chakraborty

2019

Cro. Oper. Res. Rev.

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A bi-level programming problem has been developed where the functional relationship linking decision variables and the objective functions of leader and follower are not utterly well known to us. Because of the uncertainty in practical life decision-making situation most of the time it is inconvenient to find the veracious relationship between the objective functions of leader, follower and the decision variables. It is expected that the source of information which gives some command about the objective functions of leader and follower, is composed by a block of fuzzy if-then rules. In order to analyze the model, A dynamic programming approach with a suitable fuzzy reasoning scheme is applied to calculate the deterministic functional relationship linking the decision variables and the objective functions of leader as well as follower. Thus a bi-level programming problem is constructed from the actual fuzzy rule-based to the conventional bi-level programming problem. To solve the final problem, we use the lingo software to find the optimal of objective function of follower first and using its solution we optimize the objective function of leader. A numerical example has been solved to signify the computational procedure.

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Section: Introductionmentioning

confidence: 99%

Bi-level optimization based on fuzzy if-then rule

Singh

Chakraborty

2019

Cro. Oper. Res. Rev.

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2013

Tools for Collaborative Decision‐Making

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The Development Roadmap of the EWG-DSS Collab-Net Project: A Social Network Perspective of DSS Research Collaboration in Europe

Dargam

Linden

Liu

et al. 2013

Decision Support Systems II - Recent Developments Applied to DSS Network Environments

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It is well-known that social network analysis has been playing an increasingly important role in evaluating scientific research collaboration within publication databases. This paper presents the development roadmap of the EWG-DSS Collab-Net Project of the EURO Working Group on Decision Support Systems. The current project serves as a means for a social network perspective of research collaboration within the Decision Support Systems community in Europe. The major key variable used for the network analysis is co-authorship. The network was designed to show the collaboration dynamics among the researchers, members of the EWG-DSS group. Newly in this paper is the specification of the ontology model to be used within the collaboration research network, stating its benefits to the project. The study provides a clear understanding of the community's strengths, in terms of key players, strong links and well researched topic areas; as well as weaknesses such as weak links and isolated researchers. The main goal of the project's network analysis is to allow researchers to seek opportunities for future collaboration within the DSS communities. Results achieved so far are briefly described within the paper.

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Discrepancies and Analogies in Artificial Intelligence and Engineering Design Approaches in Addressing Collaborative Decision-Making

Cited by 5 publications

References 19 publications

Bi-level optimization based on fuzzy if-then rule

Bi-level optimization based on fuzzy if-then rule

Bibliography

The Development Roadmap of the EWG-DSS Collab-Net Project: A Social Network Perspective of DSS Research Collaboration in Europe

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