Displaying similar documents to “Rough membership functions: a tool for reasoning with uncertainty”

Contributions to the symbolic processing of segments in computer vision.

Jorge Cabrera, Francisco M. Hernández, Antonio Falcón, Juan Méndez (1996)

Mathware and Soft Computing

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In this paper a processing methodology is introduced for the segment or intermediate level in the context of knowledge-based computer vision systems. The proposed methodology demonstrates how using simple Fuzzy Logic concepts it is possible to associate symbolic descriptions to the entities of this level. It provides with the basic mechanisms for performing symbolic computation, evidence combination, uncertainty management and spatial reasoning at the segment level.

ReSySTER: A hybrid recommender system for Scrum team roles based on fuzzy and rough sets

Ricardo Colomo-Palacios, Israel González-Carrasco, José Luis López-Cuadrado, Ángel García-Crespo (2012)

International Journal of Applied Mathematics and Computer Science

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Agile development is a crucial issue within software engineering because one of the goals of any project leader is to increase the speed and flexibility in the development of new commercial products. In this sense, project managers must find the best resource configuration for each of the work packages necessary for the management of software development processes in order to keep the team motivated and committed to the project and to improve productivity and quality. This paper presents...

Learning imprecise semantic concepts from image databases.

Daniel Sánchez, Jesús Chamorro-Martínez (2002)

Mathware and Soft Computing

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In this paper we introduce a model to represent high-level semantic concepts that can be perceived in images. The concepts are learned and represented by means of a set of association rules that relate the presence of perceptual features to the fulfillment of a concept for a set of images. Since both the set of images where a perceptual feature appears and the set of images fulfilling a given concept are fuzzy, we use in fact fuzzy association rules for the learning model. The concepts...

An approach to fuzzy temporal reasoning in medicine.

R. Marín, S. Barro, F. Palacios, R. Ruiz, F. Martín (1994)

Mathware and Soft Computing

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In this work we propose an approach for the application of a fuzzy temporal constraint model to intelligent patient monitoring tasks. After analyzing the requirements of the domain, we describe the approach that was followed in order to represent temporal information and solve queries on temporal relations. These processes require the cooperation of a temporal specialist with the domain reasoning mechanisms. The integration solution presented here corresponds to a stage of the implementation...