Papers by Jose Luis Verdegay
FRIM—Fuzzy Reference Ideal Method in Multicriteria Decision Making
Soft Computing Applications for Group Decision-making and Consensus Modeling
International Journal of Computational Intelligence Systems, 2016
Several real-world situations can be modeled as maximal covering location problem (MCLP), which i... more Several real-world situations can be modeled as maximal covering location problem (MCLP), which is focused on finding the best locations for a certain number of facilities that maximizes the coverage of demand nodes located within a given exact coverage distance (or travel time). In a real scenario, such distance as well as other elements of the location problem can be uncertain or linguistically (vaguely) defined by the decision maker. In this paper, we manage flexibility in the coverage distance through a fuzzy constraint. So, an extension of the original MCLP model is proposed, which is solved by using a parametric approach. Computational experiments have been conducted to analyze how the proposed model can be solved and what kind of information can be obtained to help a potential decision maker to take a more informed decision.
AplicaciĂłn de la tecnologĂa Grid al diseño y desarrollo de un portal de recursos computacionales
Una RevisiĂłn De Las MetodologĂas Que Integran La “Soft Computing”
Actas del Simposio sobre Lógica Fuzzy y Soft …, 2005
II Congreso Español sobre TecnologĂas y LĂłgica Fuzzy. Boadilla del Monte, 1992
Resumen: En el presente trabajo se realiza un estudio sobre la aplicación de los algoritmos genét... more Resumen: En el presente trabajo se realiza un estudio sobre la aplicación de los algoritmos genéticos a ciertos problemas cuando los individuos de la población está evaluados mediante números difusos. Se propone un método para la obtención de las probabilidades de selección a partir de la evaluación difusa utilizando funciones ordenadoras lineales sobre números difusos. Finalmente se presentan algunas aplicaciones de los algoritmos genéticos con función de evalución difusa sobre las que se discute su uso. Palabras ...
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013
Fuzzy Linear Programming models are quite frequent in practice. The dynamic nature of the real pr... more Fuzzy Linear Programming models are quite frequent in practice. The dynamic nature of the real problems often requires reoptimize from the optimal solutions found, what may mean a significant consumption of time and funds. In this paper, in order to efficiently solve this problem, first the optimality conditions and the duality results for fully fuzzy linear programming problems (all parameters and variables are symmetric trapezoidal fuzzy numbers) are generalized. Then, one proposes a fuzzy dual simplex method for solving these problems without the need of converting them to conventional linear programming problems. The resulting algorithm is flexible and easy of applying. For the sake of illustration, finally, an easy example is solved.
Eusflat, 2009
Quadratic programming can be seen both as a general approach to linear programming and a special ... more Quadratic programming can be seen both as a general approach to linear programming and a special class of nonlinear programming. Moreover, Quadratic Programming problems are of utmost importance in a variety of relevant practical fields, such as, portfolio selection. This work presents and develops a novel fuzzy-sets-based method that solves a class of quadratic programming problems with vagueness in the set of constraints. As vagueness is natural and ever-present in real-life situations requiring solutions, it makes perfect sense to attempt to address them using fuzzy quadratic programming. This kind of problem modeling is being applied in an increasing variety of practical fields especially those with logistics problems. Some illustrative numerical examples illustrating the solution approach are solved and analyzed to show the efficiency of this proposed method.
A Multi-Objective Neuro-Evolutionary Algorithm for Fuzzy Modeling
Joint Conference on Information Sciences, 2002
Proceedings of the 20th International Conference on Parallel and Distributed Processing, Apr 25, 2006
Fuzzy rule based termination criteria are introduced in two conventional and exact algorithms sol... more Fuzzy rule based termination criteria are introduced in two conventional and exact algorithms solving Knapsack Problems. As a consequence two new solution algorithms are obtained. These algorithms are heuristic ones with a high performance. The efficiency of the algorithms obtained is illustrated by solving some numerical examples.
Applying fuzzy maximum flow algorithms in practice: A traffic problem
2011 Ieee Symposium on Foundations of Computational Intelligence, Apr 1, 2011
Ieee Transactions on Fuzzy Systems, 2011
The fluctuations that have taken place in the worldwide economy over the past few years make it d... more The fluctuations that have taken place in the worldwide economy over the past few years make it difficult to estimate the costs of the equipment that have to be used in order to design a telecommunications network. The literature is replete with prescriptive integer programming models for various network design problems that do not take into account the problems inherent vagueness due to equipment costs. This paper considers the realworld wavelength division multiplexing (WDM) network design problem. The vagueness that appears in this problem is assumed and handled by means of fuzzy-set-based methodologies. A fuzzy integer linear programming model is then proposed to be used as an auxiliary model to solve the former problem. With the purpose to obtain cost-effective network designs, this model is then solved using Cplex, which is a commercial high-performance optimization engine.
European Journal of Operational
Dynamic and heuristic fuzzy connectives-based crossover operators for controlling the diversity and convergence of real-coded genetic algorithms
Ijis, 1998
ABSTRACT
The purpose is to present a learning process from examples by means of genetic algorithms. The le... more The purpose is to present a learning process from examples by means of genetic algorithms. The learning process is based on a generation method of fuzzy rules, a simplify method which obtains the number of rules necessary to approximate a real system, and a tuning method of control rules. All parts are based on the use of di erent genetic algorithms whose chromosomes represent the adecuated information.
Fuzzy optimization models based metaheuristics
Interval Multiobjective Solid Transportation Problem via Genetic Algorithms
ABSTRACT Transportation problem in which bounds are given on three item properties (source, desti... more ABSTRACT Transportation problem in which bounds are given on three item properties (source, destination and conveyance) is considered. Moreover, several objective functions are assumed, and the supplies, demands and conveyance capacities are, instead of point values, uncertain data expressed as intervals. One proposes a nonstandard genetic algorithm based solution method to solve the problem that extends other approaches considering only point values. 1 INTRODUCTION Genetic Algorithms (GA) are adaptive procedures of optimization and search that find solutions to problems by an evolutionary process inspired in the mechanisms of natural selection and genetic. Currently, these algorithms are being highly considered above all in those problems with complex solution spaces for those which we do not have good algorithms to solve them. In many of these cases it would be desirable to have resolution methods that provide us with "good" solutions if they can be computed reasonably quickly. In a GA, a so...
Applications of fuzzy optimization in operational research
Control and Cybernetics, 1984
Designing experiments for medical diagnosis evaluation using membership functions
Page 387. Chapter 11 Designing experiments for medical diagnosis evaluation using membership func... more Page 387. Chapter 11 Designing experiments for medical diagnosis evaluation using membership functions Jose Luis Verdegay and Alejandro Sancho-Royo Training is an important issue in all professions and it is specifically essential in medicine. ...
Tuning fuzzy controllers by genetic algorithms
Ijar, 1995
ABSTRACT
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Papers by Jose Luis Verdegay