Analytic Hierarchy Process (AHP) is a powerful quantitative measurement method in the multi-criteria decision making (MCDM) area. It has been used in banks, manufacturing systems, organizational performance evaluation, and project selection. Despite this widespread usage, many studies argue that rank reversal phenomenon is unpreventable when any AHP method is applied. This paper presents that t...

-Need of robust multi criteria decision making techniques are becoming essential in day today life for decision makers to make appropriate decisions. This paper attempts to explore robustness through rank reversal properties of the Data Envelopment Analytic Hierarchy Process (DEAHP) in decision making. DEAHP uses the principles of Data Envelopment Analysis (DEA) to generate the local weights of...

Despite the aversion to inequality in humans, social hierarchies are a fundamental feature of their life. Several mechanisms help explain prevalence over egalitarianism. Recent work has suggested that while people tend reduce resource inequalities when given opportunity, they reluctant do so it results reversal ranks (Xie et al., 2017). In this study, we explore how way which established influe...

For supplier selection in the public sector, Weighted Sum Model is often used combination with relative scoring methods that allow rank reversal. With reversal we refer to a changed order ranking of bids leading new winner, after removing or adding non-optimal bid does not win original tender. In practice, an important reason indicated by practitioners for using it would rarely occur practice. ...

Multiple Attribute Decision Making (MADM) is one of the best candidate network selection methods used for Vertical Handover Decision (VHD) in heterogeneous wireless networks (4G). Selection of the network in MADM is predominantly decided by two steps, i.e., attribute normalization and weight calculation. This dependency in MADM results in an unreliable network selection for handover, and in a r...