in this article despite of emphasis on the role of political cultural and religious factors to making political behavior and decision of society we try to explaining the relation between social and economical dissatisfaction and voting to political factions in iran.(in this article our concern is about voting to second khordad faction under the leadership of khatamy). in this theory we want to ...

The paper considers a voting model where each voter's type is her preference. graph for voter whose vertices are the possible types of voter. Two connected by an edge in if associated “neighbors.” A social choice function locally strategy?proof no can gain misrepresentation to that neighbor true type. arbitrary Local?global equivalence (LGE) satisfied local strategy?proofness implies strategy?p...

To proposing a voting model for groups with members of unequal power and proficiency, we present some models for rank ordering efficient candidates, by extending the ideas of some authors. Then, we propose a new methodology to rank the ranking models for the performance indices of only DEA efficient candidates based on a classical voting model. Also, an approach for combining the results obtain...

Social image retrieval is important for exploiting the increasing amounts of amateur-tagged multimedia such as Flickr images. Intuitively, if different persons label similar images using the same tags, these tags are likely to reflect objective aspects of the visual content. Interpreting the relevance of a user-contributed tag with respect to the visual content of an image is an emerging proble...

in this work, one and two-dimensional lattices are studied theoretically by a statistical mechanical approach. the nearest and next-nearest neighbor interactions are both taken into account, and the approximate thermodynamic properties of the lattices are calculated. the results of our calculations show that: (1) even though the next-nearest neighbor interaction may have an insignificant effect...

Objectives: People all across the world are afflicted by deadly ailment known as diabetes. Diabetes is a terrible condition characterized high blood glucose levels. This chronic one of leading causes death for people worldwide. Early identification and prediction diabetes can be aided machine learning techniques. The purpose this study to use an ensemble algorithms predict efficiently in order ...