IEEE Transactions on Knowledge and Data Engineering
Sensory evaluation based on linguistic decision analysis
International Journal of Approximate Reasoning
Efficient Multiclass ROC Approximation by Decomposition via Confusion Matrix Perturbation Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Knowledge and Data Engineering
Using an Approximate Bayesian Bootstrap to multiply impute nonignorable missing data
Computational Statistics & Data Analysis
A Similarity Measure for Collaborative Filtering with Implicit Feedback
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
A cumulative belief-degree approach for nuclear safeguards evaluation
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Estimating missing data in data streams
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Yet another approach for completing missing values
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
A 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems
Hi-index | 0.00 |
Nuclear safeguards evaluation aims to verify that countries are not misusing nuclear programs for nuclear weapons purposes. Experts of the International Atomic Energy Agency (IAEA) evaluate many indicators by using diverse sources, which are vague and imprecise. The use of linguistic information has provided a better way to manage such uncertainties. However, missing values in the evaluation are often happened because there exist many indicators and the experts have not sufficient knowledge or expertise about them. Those missing values might bias the evaluation result. In this contribution, we provide an imputation process based on collaborative filtering dealing with the linguistic 2-tuple computation model and a trust measure to cope with such problems.