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The aim of this paper is to introduce procedure capable of compressing the representation of causal graphs, removing the redundant information introduced. In previous works we have presented several algorithms to extract causal information from text documents by means of a semi-automatic process. As result we obtained a causal graph connecting concepts related to a given topic.
Context is fundamental in medical data acquisition, data interpretation, and medical reasoning. Thus, explicit contextual information must be an integral part of primary data analysis and, also, data-mining process. This paper contends that there is a need for an explicit context modeling in medical data mining, and it presents a conceptual framework for the representation of seven contextual dimensions:...
Formal Concept Analysis (FCA) is a theory on relations between sets, and has already been extended to a theory on fuzzy relations between (crisp) sets. In this note, in the case that (L; &) is a commutative and divisible complete residuated lattice, FCA is extended further to a theory on fuzzy relations between fuzzy sets. In particular, the fundamental theorem of FCA on fuzzy relations between...
We consider the problem of characterizing and computing a minimal context for a given fuzzy context. That is, for a given binary fuzzy relation between a set of objects and a set of attributes, we want to obtain a new fuzzy relation in such a way that its concept lattice is isomorphic to the concept lattice of the original fuzzy relation and such that the new fuzzy relation is minimal. It turns out...
Skyline queries are a popular and powerful paradigm for extracting interesting objects from a d-dimensional dataset. They rely on Pareto dominance principle to identify the skyline objects, i.e., the set of incomparable objects which are not dominated by any other object from the dataset. Two main problems may be faced when using skyline queries: (i) a small number of returned objects which could...
We provide a summary of the goals, underlying philosophy, work, decisions, product, and completion schedule of the IEEE P-1788 working group on interval arithmetic.
This paper advocates and explains that Fuzzy Theory involves the necessary mathematical and logical foundations which materialize the representation and computation of categories of Jerome S. Bruner and Eleanor Rosch's Theories of Cognition, and also the new model of economic man of Herbert A. Simon Theory of Bounded Rationality (Nobel Prize, 1978); which have an important role in organizational behavior...
Web based decision aids, embedded in modern telemedicine systems, are a tool to improve the skills of general practitioners and patients in sharing decision making. The aim of this paper is to present a new method based on data quality and fuzzy prototypes to provide a better and improved knowledge management framework for web-based decision aids. The proposed model is able to manage data quality...
This paper is concerned with a growing rule-based fuzzy model and its design realized with the aid of fuzzy clustering. The objective of this study is to develop a new design methodology concerning incremental fuzzy rules formed through fuzzy clustering. The proposed model consists of three functional components : (a) The premise part of the fuzzy rules involves membership functions designed with...
This paper presents a linguistic group decision model, which contains a stage for construction of the linguistic scale, which will be used by a group to evaluate a set of actions. The technique used to construct the scale allows inserting the individuals and the context in the modeling process, making the semantic values of the terms more representative of the real meaning of the language according...
In this contribution we begin to discuss the thesis that an analysis of the similarities and differences of typical methodologies of human sciences, technology and hard sciences show some unforeseen but strong similarities between human sciences and technologies. In this context fuzzy sets ideas provide useful tools which help to render the analysis more quantitative but without loosing the connection...
Probabilistic and Fuzzy Logic approaches have been used for developing Intelligent Tutoring Systems (ITS) for years to deal with uncertainties in ITS but without much attention to justification of the particular techniques, which we call the analysis of scientific rigor of the approach. In probabilistic approaches, there is a missing justification of the Markovian assumption of Bayesian networks along...
Adolescent Idiopathic Scoliosis is a spinal deformity sometimes treated using a brace. Brace treatment is successful when it prevents progression (worsening) of the spinal curve during adolescence. However, physicians' understanding of what causes progression is unclear, so a method for predicting a braced patient's risk of progression could assist physicians in planning treatment. Some such models...
Fuzzy ontologies provide an efficient tool to represent and utilize imprecise and vague data in decision making problems. In the presence of imprecise data in ontologies, aggregation operators play an important role in the decision making process. In this paper we present new definitions of ordered weighted averaging distance (OWAD) operators for interval-valued fuzzy numbers (IVFN) and show that...
In group decision making problems, given the importance of obtaining an accepted solution by the whole group, the consensus has attained a great attention and it is virtually a major goal of these problems. Consensus, as traditionally meant to be a full and unanimous agreement, is often not reachable in practice. A more realistic approach is to use softer consensus measures, which assess the consensus...
The concept of bipolar linguistic summaries of data, introduced by Dziedzic, Zadrożny and Kacprzyk [1], is further developed. These summaries are meant as an extension of the “classical” linguistic summarization [2], [3], a human-consistent data mining technique, making it possible to express more complex patterns present in data. The focus of the paper is to provide a deeper insight into the very...
Preserving data quality is an important issue in data collection management. One of the crucial issues hereby is the detection of duplicate objects (called coreferent objects) which describe the same entity, but in different ways. In this paper we present a method for detecting coreferent objects in metadata, in particular in XML schemas. Our approach consists in comparing the paths from a root element...
In this paper, by using the concept of gH-differentiability and Kulisch-Miranker order on intervals, we show a differential Gronwall type lemma for inteval-valued functions defined on a real compact interval T.
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