María José Pardo
University of the Basque Country
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Featured researches published by María José Pardo.
Fuzzy Sets and Systems | 2008
María José Pardo; David de la Fuente
Due to uncontrollable factors, the parameters in the queuing models may be uncertain and so in this paper we present the design of a fuzzy finite capacity queuing model in which the arrival pattern and the service pattern follow an exponential distribution under uncertain parameter. As for the design of the system, the criterion of optimization proposed is aimed at the optimum selection of the number of servers, with the goal of providing a high degree of satisfaction to clients when they join the system. This optimization process will be solved through Markov chains with fuzzy state. The validity of the procedure proposed to incorporate fuzzy data in this queuing system is confirmed by a fuzzy simulation experiment of the differential equations, which govern the behaviour of the model, by the Bontempis Qua. Si. III algorithm. The extension of queuing decision models to fuzzy environments enables the decision maker to obtain more informative results and wider knowledge on the behaviour of the system, since the results obtained in the fuzzy queuing model are fuzzy subsets containing the whole initial information; that is why the finite capacity queuing models with uncertain data can have a broader range of applications.
Computers & Mathematics With Applications | 2009
María José Pardo; David de la Fuente
In this paper we model, using the Queuing Theory, the situation in which the manager of some facilities wishes to maximize the profit generated by the same. The manager tries to attract customers and the effectiveness of his publicity politic is measured in the fraction of customers who renounce. In this paper, unlike the classic models, we consider that the service time of the only server of the facilities behave with uncertainty, which may be represented by means of a fuzzy number. The objective is to determine the rate to be paid by every customer for his service and the level of publicity which the manager must utilize to maximize his profits. The consideration of service times as fuzzy numbers implies that the function to be optimized has fuzzy coefficients, this is why it is necessary to use fuzzy optimization for the solution of the problem and, in addition, a new technique is proposed in order to optimize the functions of fuzzy profit of queuing models. To demonstrate the validity of the proposed proceeding is resolved satisfactorily, and applied as an example, a system of fuzzy queues, which is often found in real situations. The fuzzy queuing systems are more realistic than the crisp systems commonly used in many practical situations. Besides, the extension of the queuing decision models to fuzzy environment allows these models to have further applications.
industrial engineering and engineering management | 2009
D. de la Fuente; María José Pardo
In this work we develop three queueing models with balking in which we incorporate an uncertain distribution of balking using Fuzzy Set Theory. For the study and analysis of the models, we take as a starting point the queueing model with balking development by Saaty from the models of Homma and Finch. In order to verify the validity of the proposed methodology, we calculate the performance measures in three queueing models with balking: the queueing model with possibilistic distribution of balking, the queueing model with distribution of balking based on triangular fuzzy number and the fuzzy queueing model with possibilistic balking and uncertain parameters. The proposed technique is suitable for the performance evaluation of queueing models with balking where the accurate data are not available and need to be approximated by fuzzy values, and it provides engineers with more useful information about the possible system behavior.
soft methods in probability and statistics | 2010
María José Pardo; David de la Fuente
In this work, a general procedure for transforming a possibility distribution into a probability density function, in the continuous case, is proposed, in a way that the resulting distribution contains the same uncertainty as the original distribution. A significant aspect of this approach is that it makes use of Uncertainty Invariance Principle which is itself a general procedure for going from an initial representation of uncertainty to a new representation.
Fuzzy economic review | 2009
D de la Fuente; María José Pardo
In this work we develop three flow-line systems with baulking in which we incorporate an uncertain distribution of baulking using Fuzzy Set Theory. For the study and analysis of the models, we take as a starting point the queuing model with baulking development by Saaty from the models of Homma and Finch. In order to verify the validity of the proposed methodology, we calculate the performance measures in three flow-line systems with baulking: the flow-line system with possibilistic distribution of baulking, the flow-line system with distribution of baulking based on triangular fuzzy number and the fuzzy flow-line system with possibilistic baulking and uncertain parameters. The proposed technique is suitable for the performance evaluation of flow-line systems with baulking where the accurate data are not available and need to be approximated by fuzzy values, and it provides engineers with more useful information about the possible system behaviour.
industrial engineering and engineering management | 2008
D. de la Fuente; María José Pardo
In this paper, we design a queuing system by calculating the best policy to be implemented regarding publicity decisions by using Markov chains with fuzzy states. To this end, first we calculate the steady-state probabilities when the states of the Markov Chain become fuzzy, and next we illustrate by an example the theoretical results previously obtained. In the example, we apply the linear programming solution to the Markovian decision process.
Fuzzy Sets and Systems | 2008
María José Pardo; David de la Fuente
Computers & Mathematics With Applications | 2007
María José Pardo; David de la Fuente
Computers & Mathematics With Applications | 2010
María José Pardo; David de la Fuente
international conference on artificial intelligence | 2007
David de la Fuente; María José Pardo