Displaying similar documents to “The use of fuzzy connectives to design real-coded genetic algorithms.”

The logistic decision making in management accounting with genetic algorithms and fuzzy sets.

Enrique López González, M. Angel Rodríguez-Fernández, Cristina Mendaña-Cuervo (2000)

Mathware and Soft Computing

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The logistics problems in business environments deal with assignation from a number of sources to a number of destinations. Each source offers amounts of goods, while each destination demands quantities of these goods. The object is to find the cheapest transporting schedule that satisfies the demand without violating supply restraints. In this paper we propose to use Fuzzy Sets to represent the previsional information related to costs, demands and other variables. Moreover, we suggest...

A GA-P algorithm to automatically formulate extended Boolean queries for a fuzzy information retrieval system.

Oscar Cordón, Félix de Moya, Carmen Zarco (2000)

Mathware and Soft Computing

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Although the fuzzy retrieval model constitutes a powerful extension of the Boolean one, being able to deal with the imprecision and subjectivity existing in the Information Retrieval process, users are not usually able to express their query requirements in the form of an extended Boolean query including weights. To solve this problem, different tools to assist the user in the query formulation have been proposed. In this paper, the genetic algorithm-programming technique is considered...

Evolutionary design of fuzzy logic controllers using strongly-typed GP.

Enrique Alba, Carlos Cotta, José M. Troya (1999)

Mathware and Soft Computing

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An evolutionary approach to the design of fuzzy logic controllers is presented in this paper. We propose the use of the genetic programming paradigm to evolve fuzzy rule-bases (internally represented as type-constrained syntactic trees). This model has been applied to the cart-centering problem, although it can be readily extended to other problems. The obtained results show that a good parameterization of the algorithm, and an appropriate evaluation function, can lead to near-optimal...

A novel fuzzy c-regression model algorithm using a new error measure and particle swarm optimization

Moêz Soltani, Abdelkader Chaari, Fayçal Ben Hmida (2012)

International Journal of Applied Mathematics and Computer Science

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This paper presents a new algorithm for fuzzy c-regression model clustering. The proposed methodology is based on adding a second regularization term in the objective function of a Fuzzy C-Regression Model (FCRM) clustering algorithm in order to take into account noisy data. In addition, a new error measure is used in the objective function of the FCRM algorithm, replacing the one used in this type of algorithm. Then, particle swarm optimization is employed to finally tune parameters...

Hierarchical decomposition of fuzzy controllers based on meta-knowledge.

Luis Magdalena, Félix Monasterio-Huelin, Cristina Rivero (1998)

Mathware and Soft Computing

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This paper focuses on the problem of decomposing multivariable fuzzy controllers using a hierarchical approach based on the application of meta-knowledge. Usually, hierarchical fuzzy systems are based on a cascade structure of fuzzy logic controllers where the output of each level is considered as one of the inputs to the following level. The paper introduces a different approach to the idea of hierarchy, where the output of a level is considered not as input to the following level controller...

Using fuzzy relational databases to represent agricultural and environmental information. An example within the scope of olive cultivation in Granada.

Juan Manuel Serrano, M.ª Amparo Vila, Víctor Aranda, Gabriel Delgado (2001)

Mathware and Soft Computing

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A query system for several types of users and for information retrieval about olive cultivation and its environmental support in the province of Granada (Spain) is introduced. The system is based on fuzzy data and is flexible. The main problems which this model solves are those relating to uncertain and imprecise data processing (as in the case of environmental and cultivation information), spatial and punctual data representation, and fusion of cultivation-resulting and scientific-experimental...

An inquiry-based method for Choquet integral-based aggregation of interface usability parameters

Miguel-Ángel Sicilia, Elena García Barriocanal, Tomasa Calvo (2003)

Kybernetika

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The concept of usability of man-machine interfaces is usually judged in terms of a number of aspects or attributes that are known to be subject to some rough correlations, and that are in many cases given different importance, depending on the context of use of the application. In consequence, the automation of judgment processes regarding the overall usability of concrete interfaces requires the design of aggregation operators that are capable of modeling approximate or ill-defined...