Designing the way a complex system should evolve to better match the customers’ requirements provides an interesting class of applications for muticriteria techniques. The required models to support the improvement design of a complex system must include both preference models and system behavioral models. A MAUT model captures the decisions related to customers’ preferences whereas a fuzzy rep...

This project has been funded with support from the European Commission. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein. SUMMARY The SESTEM Analytical Framework is a research protocol (guide) that will be utilized during the project runtime by the SESTEM project consortium. I...

A Linearly Complex Model for Knowledge Representation . . . . . . . . . . . . . . . . . .20 Janos Sarbo and József Farkas Relation Graphs: A Structure for Representing Relations in Contextual Logic of Relations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 Silke Pollandt Information Transfer across Simple Concept Graphs . . . . . . . . . . . . . . . . ...

T is my great pleasure to welcome you to the inaugural I issue of the IEEE TRANSACTIONS ON FUZZY SYSTEMS. Many of you are probably quite familiar with the basic ideas underlying fuzzy sets and systems that utilize fuzzy models. However, there will also be readers who are looking at the contents of this issue, wondering what it’s all about. For this latter group, the papers in this first issue m...

This paper seeks to develop a methodology that will discover, specify and measure students’ abilities and skills in creating concept maps. Because competencies are the key factor in higher education, the paper analyses the role of concept maps as a tool to diagnose and improve information analysis, synthesis, organisation and representation skills and competencies. We propose a methodology that...

In this paper, we propose an approach for an FCA-based knowledge extraction process relying on the collaboration between humans and machines. Evaluation of the results is performed on the lattice by experts through an interactive process where they may specify their wishes for changes using a set of predefined operations. Thus, the system then may suggest several strategies to reach their goal....

We introduce a new model of teaching named “preference-based teaching” and a corresponding complexity parameter—the preference-based teaching dimension (PBTD)—representing the worst-case number of examples needed to teach any concept in a given concept class. Although the PBTD coincides with the well-known recursive teaching dimension (RTD) on finite classes, it is radically different on infini...

In this paper, we describe our participation in the ImageCLEF 2015 Scalable Concept Image Annotation task. In this participation, we propose an approach of image annotation by using ontology at several steps of supervised learning with noisy unlabeled data. In this regard, we construct tree-like ontology for each annotating concept of images using WordNet and Wikipedia. The constructed ontologi...

Automatic image annotation for large collections of images is a challenging problem. For labeling images precisely, more various features including low-level image features, EXIFs, textual tags of images are expected to be used. However, not all features contribute useful information for each concept. The high-dimension problem causing by combining all features is detrimental to the concept lea...