[PDF] Top 20 Análise do processo de colaboração entre participantes durante a interação em sala de aula de língua estrangeira

... or 1 to each member in X. This function can be generalized to a function μ such that the value assigned to the element of the universal set X fall within a specified range i.e.μ : X → [0,1]. The assigned value indicate ... See full document

... solving fuzzy linear programming problems in which the elements of coefficient matrix of the constraints are represented by real numbers and rest of the parameters are represented by ... See full document

... Tucker, fuzzy Kth-best, and fuzzy branch and bound methods to solve fuzzy bilevel linear pro- gramming problems; however, the decision vari- ables are not fuzzy in any of the ... See full document

... The motivation of the current study is to give a unique ranking procedure for ranking triangular intuitionistic fuzzy number (TIFN). This proposed ranking procedure is applied to solve IFLPP. IFLPP is a useful ... See full document

... linear programming problems without converting the problem to its crisp ...a fully fuzzy linear programming (FFLP) problem if all parameters and variables are considered ... See full document

... solving fully fuzzy Multi objective linear programming problem with triangular fuzzy number without converting to equivalent classical ...triangular fuzzy numbers are ... See full document

... the solution for the intuitionistic fuzzy transportation problem with ranking of intuitionistic fuzzy numbers, International Journal of Innovative Research in Sciences Engineering and ... See full document

... optimized solution satisfying (1) is called a feasible optimal ...the fuzzy set bounded by the feasible optimal solutions is normal and ...crisp linear programming ... See full document

... intuitionistic fuzzy optimization with fuzzy optimization method for membership and non-membership we also obtained the solution of the undertaken numerical problem by fuzzy optimization ... See full document

... Quadratic Programming problem. The classical Quadratic Programming problem is the problem of finding the minimum or maximum values of a quadratic function under constraints that are represented by ... See full document

... Linear programming is concerned with the opti- mization (minimization or maximization) of a lin- ear function while satisfying a set of linear equal- ity and/ or inequality constrains or ...life ... See full document

... that fuzzy said to be positive fuzzy number or negative fuzzy number using the area of positive x-axis and negative x-axis, then it will be followed by algebra modifications on two ... See full document

... path using the most direct route through at least three only horizontal and vertical ...the solution and then back to the original occupied cell and moving with considered to be on the closed path, both ... See full document

... a fuzzy number. The methods are to rank the fuzzy objective values of the objective function by some ranking method for fuzzy number to find the best ...the fuzzy unbalanced assignment problem ... See full document

... Notation 5.2. Let I, J ∈ [0, 1] , ⊆ and (] be the ideal of generated by . (U L M b denotes the fuzzy subset of defined by: (U L M b() = N I + ∈ ( J OPℎRST+ER. U], U for all ∈ . Lemma 5.1. Let be a nonempty subset ... See full document

... proposed fuzzy linear regression model with crisp input and fuzzy output described by Tanaka was considered ...modified fuzzy least square method for the ...conventional fuzzy least ... See full document

... an optimal design problem. Verma, Biswal and Biswas[8] used the fuzzy programming technique with some non-linear (hyperbolic and exponential) membership functions to solve a multi objective ... See full document

... called fuzzy set. Definition 2.2. Fuzzy number. A fuzzy number is a generalization of a regular real number and which does not refer to a single value but rather to a connected a set of possible ... See full document

... The first study of differential equations with multivalued right-hand sides was performed by A. Marchaud [1] and S. C. Zaremba [2]. In early sixties, T. Wazewski [3,4], A. F. Filippov [5] obtained fundamental results on ... See full document

... trapezoidal fuzzy numbers (TFNs) using α-cut interval method is analysed with two different numerical ...proposed using membership function of TFNs [11] ranking grades of TFNs [17, 18], Graded ... See full document