... are fuzzy logic and case-based ...weaknesses. Fuzzy logic employs the concept of linguistic variables to simplify the process of knowledge ...using fuzzy sets in such a way that reduce the knowl- ...
... are fuzzy logic and case-based ...weaknesses. Fuzzy logic employs the concept of linguistic variables to simplify the process of knowledge ...using fuzzy sets in such a way that reduce the knowl- ...
... Como sug iere Fredr ic Jameson , cua lqu ier pe l ícu la denunc iará fata lmente su ub icac ión en la d istr ibuc ión g loba l de l poder cu ltura l.. Tamb ién los estud ios de Ian Ja[r] ...
... version (subset) of fuzzy sets. The most basic, and initial, approach has been to assign scores of one (1) for membership and zero (0) for non-membership in a given set. These are referred to as crisp sets ...
... account the obstruction generated by different types of human set- tlement. Although CI* has been demonstrated to be a good measure of LC and a complement for LF measures, it also has shortcomings. CI* is unable ...
... utilizes fuzzyset approach and qualitative comparative analysis (fsQCA) (Ragin, 2000, 2008a) to explore the institutional condi- tions (causal conditions) which lead to particular types of corporate ...
... the set of \RXQJ SHRSOH ...the set, and a 100 years old person will not be a member of this set, but what about people at the age of 20, 30, or 40 years? Another example is a weather report re- ...
... ofthe fuzzyset theory since its introduction in 1965 have widely focused on the modeling of dynamic ...systems. Fuzzy models offer advantages over mathematical ones: the inference process is close ...
... Then, L-fuzzy set categories are defined for each of these extended powerset functors, and the rationality of the extension principle is proved in the categorical [r] ...
... underlying fuzzy framework is that of the L -fuzzy sets, where L = (L, ∨, ∧, ⊤, ⊥, ⊗, →) is a residuated ...-fuzzyset X is a mapping from the universe set, say A, to the lattice L, ...
... the fuzzy if-then rules, a neural network which was previously trained with the experimental data was used to provide the inputs for the rule generation ...data set, a fuzzy rule was generated, where ...
... The fuzzyset theory is a powerful tool in order to overcome ambiguous ...ordinary fuzzy EDAS by Keshavarz Ghorabaee et ...under fuzzy environment. Fuzzy sets have a history starting ...
... of FuzzySet Theory, see for instance ...preordered set) and an unstructured set; later, in [2] we entered in the fuzzy arena, considering the case in which A is a fuzzy ...
... Information Set does not require or favor a specific interface or class of ...information set as a modified tree for the sake of clarity and simplicity, but there is no requirement that the XML Information ...
... La deducción difusa se puede representar como el mejor enfoque para adquirir una llegada como una fuerza motivadora para los datos que vale la pena utilizar la teoría de un conjunto fl[r] ...
... Approximate computational model: It uses fuzzy arithmetic based on the Extension Principle to make linguistic computations and the membership functions associated with the linguisti[r] ...
... Therefore Mu is an n-increasing multi-argument fuzzy measure on ^(X). M u provides an estimate of the relative size, compared with the universal set, of the union of any finite famil[r] ...
... of fuzzy logic is control, where fuzzy controllers have proven to be very effective in the context of controlling complex ill defined processes ...A fuzzy controller is usually designed by ...
... Learning style models (LSM) classify people according to a set of behavioural characteristics [4] and this classification is used to improve the way people learn a given task. These models have been discussed in ...
... Paso 5. Determinar un Mapeo Basado en la Base de Reglas Combinadas. Usando la estrategia de desfuzzificación, se obtiene la sa- lida de control θ para las entradas (x,φ) . Primero, dadas las entradas (x,φ) , se combinan ...