A multi-viewpoint system to support abductive reasoning
The paper proposes a multi-viewpoint system to support human abductive reasoning for diagnosis, prognosis and trial-and-error activities for supervising automated systems. This multi-viewpoint approach interprets the same set of events from the ...
Adaptive strategy selection in differential evolution for numerical optimization: An empirical study
Differential evolution (DE) is a versatile and efficient evolutionary algorithm for global numerical optimization, which has been widely used in different application fields. However, different strategies have been proposed for the generation of new ...
Natural Language Compression on Edge-Guided text preprocessing
This paper presents Edge-Guided (E-G), an optimized text preprocessing technique for compression purposes. It transforms the original text into a word net, which stores all relationships between adjoining words. A specific directed graph is proposed to ...
A survey on question answering technology from an information retrieval perspective
This article provides a comprehensive and comparative overview of question answering technology. It presents the question answering task from an information retrieval perspective and emphasises the importance of retrieval models, i.e., representations ...
A nonparametric classification method based on K-associated graphs
Graph is a powerful representation formalism that has been widely employed in machine learning and data mining. In this paper, we present a graph-based classification method, consisting of the construction of a special graph referred to as K-associated ...
Rule learning for classification based on neighborhood covering reduction
Rough set theory has been extensively discussed in the domain of machine learning and data mining. Pawlak's rough set theory offers a formal theoretical framework for attribute reduction and rule learning from nominal data. However, this model is not ...
Optimized cluster-based filtering algorithm for graph metadata
With the increasing amount of information on the Web and the proliferation of RSS offerings, efficient graph-based metadata filtering algorithm for large scale information dissemination is very important today. Matching graph-based documents is ...
Object association with belief functions, an application with vehicles
The problem tackled in this article consists in associating perceived objects detected at a certain time with known objects previously detected, knowing uncertain and imprecise information regarding the association of each perceived objects with each ...
An optimal image watermarking approach based on a multi-objective genetic algorithm
In accordance with the multi-objective nature of image watermarking, an optimal image watermarking approach using a multi-objective genetic algorithm is presented in this paper. Both watermarking parameters and embedding positions are often important ...
Scheduling with general position-based learning curves
Learning effect in scheduling problems has received growing attention since Biskup [3] introduced the position-based model, where the learning curve is expressed as a power function of a job position. Hurley [11] pointed out that the actual processing ...
A linear goal programming approach to determining the relative importance weights of customer requirements in quality function deployment
Quality function deployment (QFD) is a planning tool used in new product development and quality management. It aims at achieving maximum customer satisfaction by listening to the voice of customers. To implement QFD, customer requirements (CRs) should ...
l2-l∞ filter design for discrete-time singular Markovian jump systems with time-varying delays
The problem of l"2-l"~ filter design for discrete-time singular systems with Markovian jump and time-varying delays is investigated in this paper. By using the delay partitioning technique, a delay-dependent condition is established to guarantee the ...
Bipolar fuzzy graphs
In this paper, we introduce the notion of bipolar fuzzy graphs, describe various methods of their construction, discuss the concept of isomorphisms of these graphs, and investigate some of their important properties. We then introduce the notion of ...