By Jorge Casillas, O. Cordón, Francisco Herrera Triguero, Luis Magdalena
Fuzzy modeling frequently comes with contradictory standards: interpretability, that's the potential to specific the genuine method habit in a understandable method, and accuracy, that is the potential to faithfully signify the true procedure. during this framework, the most very important components is linguistic fuzzy modeling, the place the legibility of the got version is the most target. This job is mostly built via linguistic (Mamdani) fuzzy rule-based structures. An lively study sector is orientated in the direction of using new recommendations and constructions to increase the classical, inflexible linguistic fuzzy modeling with the most objective of accelerating its precision measure. regularly, this accuracy development has been conducted with out contemplating the corresponding interpretability loss. at present, new tendencies were proposed attempting to safeguard the linguistic fuzzy version description energy through the optimization method. Written through best specialists within the box, this quantity collects a few consultant researcher that pursue this process.
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Additional info for Accuracy Improvements in Linguistic Fuzzy Modeling
Moreover, we must consider that in our problem, opposite to other applications, the time needed to evaluate a neighboring solution is greater than the one needed to construct a new solution. The local search technique usually is applied to the solution generated by each ant. However, in order to accelerate the process, in our case the local search process will be only applied to the best solution generated at each iteration. After this process, the global pheromone trai! is updated in the usual way.
Since an actual measure is very difficult to obtain when medium or low voltage lines are used, the consideration of models becomes useful. These estimations allow electrical companies to justify their expenses. Moreover, the model must be able to explain how a specific value is computed for a certain town. Our objective will be to relate the maintenance costs of medium voltage line with the following four variables: sum of the lengths of all streeis in the town, total area of the town, area that is occupied by buildings, and energy supply to the town.
11. J. Casillas, O. J. del Jesus, and F. Herrera. Genetic tuning of fuzzy rule-based systems integrating linguistic hedges. In Proceedings of the 9th IFSA World Congress and the 20th NAFIPS International Conference, pages 15701574, Vancouver, Canada, 2001. 12. J. Casillas, O. Cordon, and F. Herrera. COR: A methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics. To appear.
Accuracy Improvements in Linguistic Fuzzy Modeling by Jorge Casillas, O. Cordón, Francisco Herrera Triguero, Luis Magdalena