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Applying Fuzzy Set Theory and Case-Based Reasoning Approach for Managing Strategical and Tactical Reasoning in StarCraft -Edición Única

Applying Fuzzy Set Theory and Case-Based Reasoning Approach for Managing Strategical and Tactical Reasoning in StarCraft -Edición Única

... 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- ...

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Applying fuzzy set theory and case based reasoning approach for managing strategical and tactical reasoning in starcraft

Applying fuzzy set theory and case based reasoning approach for managing strategical and tactical reasoning in starcraft

... 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- ...

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El cine argentino como un "conjunto borroso" (Fuzzy Set) . Para un boceto exploratorio de un objeto inasible

El cine argentino como un "conjunto borroso" (Fuzzy Set) . Para un boceto exploratorio de un objeto inasible

... 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] ...

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Vista de Beyond positivism: fuzzy set qualitative comparative analysis and pragmatist research

Vista de Beyond positivism: fuzzy set qualitative comparative analysis and pragmatist research

... 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 ...

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Assessing landscape resistance to roe deer dispersal using fuzzy set theory and multicriteria analysis. A case study in Central Spain.

Assessing landscape resistance to roe deer dispersal using fuzzy set theory and multicriteria analysis. A case study in Central Spain.

... 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 ...

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Varieties of corporate networks : network analysis and fsQCA

Varieties of corporate networks : network analysis and fsQCA

... utilizes fuzzy set approach and qualitative comparative analysis (fsQCA) (Ragin, 2000, 2008a) to explore the institutional condi- tions (causal conditions) which lead to particular types of corporate ...

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Tutorial On Fuzzy Logic

Tutorial On Fuzzy Logic

... 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- ...

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16639960

16639960

... ofthe fuzzy set 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 ...

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16640202

16640202

... 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] ...

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On the notion of fuzzy adjunctions between fuzzy orders

On the notion of fuzzy adjunctions between fuzzy orders

... underlying fuzzy framework is that of the L -fuzzy sets, where L = (L, ∨, ∧, ⊤, ⊥, ⊗, →) is a residuated ...-fuzzy set X is a mapping from the universe set, say A, to the lattice L, ...

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A review of artificial intelligent approaches applied to part accuracy prediction

A review of artificial intelligent approaches applied to part accuracy prediction

... 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 ...

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Intuitionistic fuzzy EDAS method: An application to solid waste disposal site selection

Intuitionistic fuzzy EDAS method: An application to solid waste disposal site selection

... The fuzzy set 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 ...

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Relation-based Galois connections: towards the residual of a relation

Relation-based Galois connections: towards the residual of a relation

... of Fuzzy Set 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 ...

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XML information set

XML information set

... 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 ...

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Fuzzy logic y MATLAB

Fuzzy logic y MATLAB

... 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] ...

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Fuzzy linguistic modelling

Fuzzy linguistic modelling

...  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] ...

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Multi-argument fuzzy measures on lattices of fuzzy sets

Multi-argument fuzzy measures on lattices of fuzzy sets

... 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] ...

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Evolution of recurrent fuzzy controllers

Evolution of recurrent fuzzy controllers

... 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 ...

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Using fuzzy sets to analyse personal preferences on groupware tools

Using fuzzy sets to analyse personal preferences on groupware tools

... 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 ...

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Generación de una Base de Reglas de Control "Fuzzy" de un Vehículo, Usando Datos Numéricos

Generación de una Base de Reglas de Control "Fuzzy" de un Vehículo, Usando Datos Numéricos

... 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 ...

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