There is mounting evidence to support the concept of chest compression-only CPR for out-of-hospital cardiac arrest victims, not least because it is simple and does not require rescuers to perform unpleasant mouth-to-mouth ventilation. The problem is that for a small, but important, minority of victims (children and those suffering an asphyxial or prolonged arrest) this is suboptimal treatment. ...

In the classical model of games with transferable utility one assumes that each subgroup of players can form and cooperate to obtain its value. However, we can think that in some situations this assumption is not realistic, that is, not all coalitions are feasible. This suggests that it is necessary to raise the whole question of generalizing the concept of transferable utility game, and theref...

in today’s competitive market, for a business firm to win higher profit among its rivals, it is of necessity to evaluate, and rank its potential customer segments to improve its customer relationship management (crm). this brings the importance of having more efficient decision making methods considering the current fast growing information era. these decisions usually involve several criteria,...

In this paper, the cost of generation and system transmission losses have been considered as objectives for optimization. The multiobjective optimal power dispatch (MOPD) problem is formulated using weighting method and a number of noninferior solutions are generated in 2D space by varying weights for IEEE 5, 14 and 30 bus systems – manually using GA technique, by using GA toolbox of MATLAB R20...

The linear multiobjective transportation problem is a special type of vector minimum problem in which constraints are all equality type and the objectives are conicting in nature. This paper presents an application of fuzzy goal programming to the linear multiobjective transportation problem. In this paper, we use a special type of nonlinear (hyperbolic and exponential) membership functions to ...

This paper proposes the method to the solution of multi objective linear programming problems in fuzzy environment. Here attention has been paid to the study of optimal compromise solution for multi objective fuzzy linear programming problems. Two algorithms have been presented to gives efficient solutions as well as an optimal compromise solution. An illustrative example is given to describe o...

In this paper, we have proposed an algorithm to solve bi-level linear programming problems with fuzzy parameters without converting it to crisp equivalent problem and obtained a fuzzy compromise solution. Since the decision variables and objective functions are represented as fuzzy membership functions, the proposed fuzzy compromise solution will be more practical and reasonable. A numerical ex...

the current study set to extend a new vikor method as a compromise ranking approach to solve multiple criteria decision-making (mcdm) problems through intuitionistic fuzzy analysis. using compromise method in mcdm problems contributes to the selection of an alternative as close as possible to the positive ideal solution and far away from the negative ideal solution, concurrently. using atanasso...