Titlebook: Integrated Uncertainty in Knowledge Modelling and Decision Making; 9th International Sy Katsuhiro Honda,Tomoe Entani,Masahiro Inuiguchi Con

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Decision Analysis with the Set of Normalized Triangular Fuzzy Weight Vectors in Fuzzy AHP, we propose a fuzzy AHP approach to multiple criteria decision analysis. First we investigate the normalized fuzzy weight vector estimation problem under a given fuzzy pairwise comparison matrix (PCM). After reviewing a previous approach to the estimation problem, we show the non-uniqueness of the

Chronological

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CRAMP

Dappled

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Job-Satisfaction Enhancement in?Nurse Scheduling: A Case of?Hospital Emergency Department in?Thailang outcomes, the simultaneous consideration of staffing costs, workload, individual preferences, and fairness must be made. However, the integration of these aspects into the scheduling model is still lacking in practice. This study develops a bi-objective mixed-integer linear programming approach fo

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Analysis of?Medical Data Using Interval Estimators for?Common Mean of?Gaussian Distributions with?Un (CV) is unknown because the population mean and variance are unknown. In this study, the common mean of Gaussian distributions with unknown CVs is considered and four new interval estimators for it using generalized confidence interval (GCI), large sample (LS), adjusted method of variance estimates

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合乎習(xí)俗

On an?Multi-directional Searching Algorithm for?Two Fuzzy Clustering Methods for?Categorical Multivaects and items. This work focus on two fuzzy clustering methods for categorical multivariate data. One of the serious limitations for these methods is the local optimality problem. In this work, an algorithm is proposed to address this issue. The proposed algorithm incorporates multiple token search