Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Targeting safety-related errors during software requirements analysis
Journal of Systems and Software
Using fuzzy numbers in educational grading system
Fuzzy Sets and Systems
Optimizing the selection of VV&A activities: a risk/benefit approach
Proceedings of the 29th conference on Winter simulation
Simulation verification, validation and confidence: a tutorial
Transactions of the Society for Computer Simulation International
Fuzzy Mathematical Programming: Methods and Applications
Fuzzy Mathematical Programming: Methods and Applications
Study on simulation credibility metrics
WSC '05 Proceedings of the 37th conference on Winter simulation
Using fuzzy numbers in linear programming
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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With the size and complexity of simulation applications growing rapidly, it has become an important problem to design applicable and affordable verification, validation and accreditation (VV&A) schemes for complex simulation systems. To address this problem, this paper proposes an optimal design method for VV&A schemes, which focuses VV&A on most critical aspects rather than selects most appropriate VV&A methods. Fuzzy failure mode and effects analysis (FMEA) is employed to assess the risk of a complex simulation system. In terms of the risk of each failure, its VV&A activities and cost are estimated, and then fuzzy linear regression analysis is used to construct the mathematical model for the relation between the risk and cost for each failure. Based on this model, fuzzy linear programming is adopted to construct the optimal model of the VV&A scheme for the simulation system. According to the optimal solution from the optimal model, the optimal VV&A scheme is found. This optimal method not only provides an effective means to estimate the overall cost that should be invested in VV&A, but also gives an approach to reasonable assign the cost to VV&A activities.