In the forthcoming heterogeneous wireless environment, the mobility management of users roaming between different wireless access technologies is a challenging and important technical issue. New mobile devices such as netbooks, smartphones and tablets allow users to perform vertical handoffs among different wireless networks. The multiple attribute decision making (MADM) methods are suitable to...

The decision making problem with interval numbers is an important topic of uncertain multiple attribute decision making. A difficulty to solve the interval decision making problems is the ranking method of interval numbers, because among the interval numbers exist cross, it’s difficult to ranking the alternatives directly. This paper studied how to make use of the traditional method for certain...

In multiple-attribute decision-making (MADM) problems, ranking the alternatives is an important step for making best decision. Intuitionistic fuzzy numbers (IFNs) are a powerful tool expressing uncertainty and vagueness in MADM problems. However, existing methods IFNs do not consider probabilistic dominance relationship between alternatives, which can lead to inconsistent inaccurate rankings. t...

A general multiple attribute decision-making (MADM) approach is proposed to integrate subjective preferences and objective information and to assess the relative weights of attributes, where subjective preferences are expressed either by a fuzzy preference relation on decision alternatives or by a pairwise comparison matrix on the relative weights of attributes or by both of them and objective ...

Abstract: In recent years, neutrosophic sets (NSs) have attracted widespread attentions and been widely applied to multiple attribute decision-making (MADM). The interval neutrosophic set (INS) is an extension of NS, in which the truth-membership, indeterminacy-membership and falsity-membership degree are expressed by interval values, respectively. Obviously, INS can conveniently describe compl...

Although crisp data are fundamentally indispensable in the conventional linear programming technique for multidimensional analysis of preference (LINMAP), the observed values in the real-world problems are often imprecise or vague. These imprecise or vague data can be suitably characterized by linguistic terms which are fuzzy in nature. LINMAP has been widely used to solve multi-attribute decis...

Proton exchange membrane fuel cells (PEMFCs) can be used in transportation, power plants and distributed generation due to high power density and fast speed of operation. Dynamic modeling of fuel cells is a primary need for performance assessment studies of real-time and controller design. Some new models of Simulink use artificial intelligence for making graph output model. Neural network is o...

In order to provide ubiquitous access for the users, future generation network integrate a multitude of radio access technologies (RAT’S) which can interoperate between them. However, the most challenging problem is the selection of an optimal radio access network, in terms of quality of service anywhere at anytime. This paper proposes a novel ranking algorithm, which combines multi attribute d...

The main focus of this paper is to investigate the multiple attribute decision making (MADM) method under intuitionistic linguistic (IL) environment, based on induced aggregation operators and analyze possibilities for its application in low carbon supplier selection. More specifically, a new aggregation operator, called intuitionistic linguistic weighted induced ordered weighted averaging (ILW...