This paper presents a comparative study of the performance of arithmetic and geometric means as rules to combine multiple classi®ers. For problems with two classes, we prove that these combination rules are equivalent when using two classi®ers and the sum of the estimates of the a posteriori probabilities is equal to one. We also prove that the case of a two class problem and a combination of t...

Clinical question Are four common clinical decision rules, in combination with normal D-dimer results, comparable in their ability to clinically exclude the diagnosis of pulmonary embolism? Article chosen Douma RA, Mos ICM, Erkens PMG, et al. Performance of 4 clinical decision rules in the diagnostic management of acute pulmonary embolism: a prospective cohort study. Ann Intern Med 2011;154:709...

This paper introduces a novel design concept for the development of efficient, sustainable Rocking-Wall Moment Frames (RWMFs) under seismic conditions. The proposed concepts lead to a novel structural configuration with provisions for Collapse Prevention (CP), Self-Centering (SC), reparability, performance control (PC), damage reduction, and energy based seismic analysis. It introduces the meri...

The COSAR project Combination of Optimisation and Simulation in the Assessment of Risk aims to investigate the combination of optimisation and simulation techniques to better deal with uncertainty in manufacturing environments. As a pilot study, we investigated the generation of robust dispatch rules for high-volume cartoning of contact lenses. It is often di cult to determine initially the bes...

This paper addresses the problem of merg­ ing uncertain information in the framework of possibilistic logic. It presents several syn­ tactic combination rules to merge possibilis­ tic knowledge bases, provided by different sources, into a new possibilistic knowledge base. These combination rules are first de­ scribed at the meta-level outside the lan­ guage of possibilistic logic. Next, an exte...

This paper concerns how multiple sets of rules can be generated using a rough sets-based inductive learning method and how they can be combined for text categorization by using Dempster’s rule of combination. We first propose a boosting-like technique for generating multiple sets of rules based on rough set theory, and then model outcomes inferred from rules as pieces of evidence. The various e...

This paper explores the problem of “global” data fusion rules, or combination of evidence. Three rather different schemes for computing the similarity between documents and a set of judged documents are employed. The goal is to learn whether rules for score combination (sometimes called “fusion rules” can be learned from a random selection of filtering problems L and then applied to another col...

In the theory of evidential reasoning, Dempster's rule is used for combining belief functions based on independent evidences. There has been a lot of debate over the counter-intuitive nature of results obtained by this rule [4, 8, 14, 15]. Dubois and Prade [1, 3] have shown that Dempster's rule is not robust and is sensitive to inaccurate estimates of uncertainty values. Many authors have sugge...

In the realm of multi-axial ratcheting, a step by step mathematical approach is developed for the parameter determination of decomposed kinematic hardening rules. For this purpose, key characteristics are mathematically derived for these hardening rules under multi-axial loading. These characteristics are then utilized to develop expressions which relate the loading history to the accumulated p...