In this paper rst we dene the notions of positive implicativehyper MV -ideals of types 1,2,3 and 4 in hyper MV -algebras and we investigatethe relationship between of them . Then by some examples we show that thesenotions are not equivalent. Finally we give some relations between these notionsand the notions of (weak) hyper MV -ideals and (weak) hyper MV -deductivesystems of hyper MV -algebras.

In this paper, the (m+1)-step Adams-Bashforth, Adams-Moulton, and Predictor-Correctormethods are used to solve rst-order linear fuzzy ordinary dierential equations. The conceptsof fuzzy interpolation and generalised strongly dierentiability are used, to obtaingeneral algorithms. Each of these algorithms has advantages over current methods. Moreover,for each algorithm a convergence formula can b...

Convexity theory and duality theory are important issues in math- ematical programming. Within the framework of credibility theory, this paper rst introduces the concept of convex fuzzy variables and some basic criteria. Furthermore, a convexity theorem for fuzzy chance constrained programming is proved by adding some convexity conditions on the objective and constraint functions. Finally,...

espanolLa memoria de trabajo (MT) se considera uno los componentes basicos la cognicion, y medicion amplitud MT es muy relevante para el estudio las diferencias individuales en tareas cognitivas complejas. El objetivo del presente adaptacion Prueba Amplitud Lectura Daneman Carpenter su uso sujetos con necesidades habla, lenguaje comunicacion, usuarios sistemas comunicacion alternativos o aument...

Dark matter halos that reach the HI-cooling mass without prior star formation or external metal pollution represent potential sites for of small - extremely faint Population III galaxies at high redshifts. Gravitational lensing may in rare cases boost their fluxes to detectable levels, but find even a number such objects randomly selected regions sky requires very large areas be surveyed. Becau...

Speech is one of the most delicate medium through which gender speakers can easily be identified. Though related research has shown very good progress in machine learning, but recently, deep learning imparted a area to explore deficiency discrimination using traditional techniques. In techniques, speech features are automatically generated by reinforcement from raw data have more discriminating...