This paper focuses on the robustness problem of full implication triple implication inference method for fuzzy reasoning. First of all, based on strong regular implication, the weighted logic metric for measuring distance between two fuzzy sets is proposed. Besides, under this metric, some robustness results of the triple implication method are obtained, which demonstrates that the triple impli...

Automated planning addresses the problem of generating a sequence of actions to satisfy given goal conditions for a constructed model of the world. In recent planning approaches heuristic guidance is used to lead the search towards the goal. The focus of this work is on domains where plan quality is assessed with plan metrics. A discussion of the impact of a popular relaxed planning graph heuri...

Based on a set of case studies in eight European countries a method of software evaluation has been designed within ESPRIT Project SCOPE (Software evaluation and certification programme Europe). This method deals with several types of information: software characteristics and metrics, product and process information, and evaluation techniques. In order to be applicable the method is supported b...

A metric space consists of a collection of objects and a distance function deened among them, which satis-es the triangular inequality. The goal is to prepro-cess the set so that, given a set of objects and a query, retrieve those objects close enough to the query. The number of distances computed to achieve this goal is the complexity measure. The problem is very diicult in the so-called high-...

Using image hierarchies for visual categorization has shown to have a number of important benefits. For instance it enables a significant gain in efficiency (e.g., logarithmic with the number of categories [1, 2]). Moreover, arranging visual data in a hierarchical structure echoes the way how humans organize data and enables the construction of a more meaningful distance metric for image classi...

The goal of this study is to provide a metric for evaluating a given hearing-aid insertion gain using a consonant recognition based measure. The basic question addressed is how treatment impacts phone recognition at the token level, relative to a flat insertion gain, at the most-comfortable-level (MCL). These tests are directed at fine-tuning a treatment, with the ultimate goal of improving spe...