[PDF] Top 20 Comparación de estilos de enseñanza en educación física

... Soft set theory is a generalization of fuzzy set theory, which was proposed by Molodtsov [8] in 1999 to deal with uncertainty in a non-parametric ...the theory of ... See full document

... of soft set theory was introduced by Molodtsov in ...This theory can be used as a generic mathematical tool for dealing with ...In soft set theory, the problem of setting ... See full document

... define soft union group, serving as a bridge among soft set theory, set theory and group theory and showing how a soft set effects on a group structure in ... See full document

... introduced fuzzy set theory in 1965 and it was specifically designed to represent uncertainty and vagueness with formalized logical tools in dealing with the imprecision inherent in many real world ... See full document

... of fuzzy soft sets by embedding the ideas of fuzzy ...of fuzzy soft sets many interesting applications of soft set theory have been expanded by some ...some ... See full document

... graph theory was introduced by Azriel Rosenfied in ...humevous applications in varies fields. Fuzzy set was inroduced by Zadeh [8] whose basic components is only a membership ...Zadeh’s ... See full document

... modeling complex systems such as probability theory, fuzzy set theory, interval mathematics ...Probability theory is applicable only for a stochastically stable ...in ... See full document

... A novel fuzzy soft set approach in decision making based on grey relational analysis and 556. Dempster–Shafer theory of evidence[r] ... See full document

... Fuzzy soft matrix theory and max-minima approches have been introduced and applied in decision making theory ...[13].Vague soft set theory has been estabilished in [14]. ... See full document

... 1965, Fuzzy set was introduced by ...of soft sets. An intuitionistic fuzzy was introduced in 1983, by ...Zadeh’s fuzzy set. In the year 1999, Molodtsov [10] introduced ... See full document

... evaluation, its features can be summarized as (1) Using some fuzzy and uncertain concepts like “good/bad”, “high/low”, “long/short” describe the CFRP cross-section quality, process cost and production ... See full document

... too complex, the exact solution cannot be ...instance, fuzzy set theory [], rough set theory [] and other mathematical ...a soft set as a new mathematical tool ... See full document

... of fuzzy set[20] is strong to deal with such type of ...of fuzzy set theory, there are suggestions for higher order fuzzy sets for different applications in many ...higher ... See full document

... EnginogluS.,Soft set theory and uni-int decision making, ...X. Soft semirings. Computers and Mathematics with Applications, 56(2008): 2621- ...Intuitionistic fuzzy soft ... See full document

... theories theory of probability theory, fuzzy set theory, intuitionistic fuzzy sets theory, vague set theory, interval mathematics theory, rough ... See full document

... few applications in the theory of automata and formal languages. Soft set premise as a novel mathematical device means and deals with uncertainty which seems to be gratis from the intrinsic ... See full document

... This theory brought a paradigmatic change in ...to set the membership function in each particular case. The theory of intuitionistic fuzzy sets is more generalized concept than the ... See full document

... probability Theory, Fuzzy Set Theory[13], Rough Set Theory[12], Vague Set Theory[7] ...of Soft Set as a completely new mathematical tool for dealing ... See full document

... generalized soft set in teaching ...the applications of fuzzy soft ...applied fuzzy soft relations to solve the decision-making ...of soft set-in ... See full document

... Possibility fuzzy soft set, Advances in Decision Sciences, 2011, Article ID 479756, ...Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20 (1986) ...Intuitionistic fuzzy sets: ... See full document