Estudi de mètodes de classificació borrosa i la seva aplicació a l'agrupació de zones geogràfiques en base a diverses característiques incertes

摘要: This thesis is organized in six chapters with the final goal to found and explain mathematical set of tools necessary classify sets fuzzy sets. The theoretic kernel made by 3, 4 5; first second are more generals last one an aplication precedent make a classification union european countries function some vague attibutes. In chapter we analize different logic connectives making special attention those aspects which will have specific application other chapters. Is for this reason that study order families t-norms, given its importance transivity relations. verification third excluded principle ensure significant generalized measures, introduced were reflexive. We t-norms verified property introduce new verify principle. In general way relations closure any t-norm, calculus lot cases basic process. At end describe practical method find relation help experts statistical series. The monographic about measures. relate measures (or distances) usually used applications crisp question change traditional geometrical point view another absolutely fuzzy. result introduction parametrized family properties enough satisfactories. exclude has here reflexivity these studied certain profundity particular cases. The fourth is, at beginning, review main results methods elements same now where apply orders t-conorms chapter. clustering, changing matrix each time obtain cluster. permit homogenize methodology clustering method. The fifth objects association nature; subsets belong theory already been developed binary case; here, submit generalization n dimensional case. Later, projection on space reciprocal, cilindrical extensions. An grouping regions Girona uncertain attibutes finish chapter. The eminently applied, because 3 attributes. To do forecasts coming years series neural networks. several compare dendograms process. Finally, suplements can consult series, extrapolation, construct relations, measure matrixs closures.