GIS-based ordered weighted averaging and Dempster–Shafer methods for landslide susceptibility mapping in the Urmia Lake Basin, Iran Bakhtiar Feizizadeh a b , Thomas Blaschke a & Hossein Nazmfar c a Department of Physical Geography, Centre for Remote Sensing and GIS, University of Tabriz, Tabriz, Iran b Department of Geoinformatics (Z_GIS), University of Salzburg, Salzburg, Austria c Department ...

In 2003 Dinur and Nissim showed an impossibility result for privacy that if the amount of noise is o( √ n), then privacy is impossible to achieve (where the output space is binary “Yes” or “No”). Ω( √ n) noise must be added to have at least weak notions of privacy. However, the question has remained open as to whether O(n) noise is able to preserve accuracy in elementary private data operations...

Many multiple attribute group decision making (MAGDM) problems with linguistic information involve uncertainties, which significantly increase the complexity and difficulty in decision analysis. In order to solve such problems, we require appropriate aggregation operators that are capable of dealing with uncertain linguistic information. In this paper, firstly, the uncertain two-tuple linguisti...

Applications for vehicular ad hoc networks (VANETs) are an active field of research with the potential to significantly contribute to driver safety, traffic efficiency, and comfort. Messages are typically exchanged and forwarded between vehicles using wireless communication, thereby creating a wireless ad hoc network. Especially traffic efficiency applications require the dissemination of infor...

A university’s institutional repository (IR) contains the intellectual output of its faculty, staff and students. Its content is extensive and heterogenous, which complicates data aggregation and discovery tasks. To address these challenges, we propose the use of a conceptual ontology design pattern to model information for the IR domain which is general enough to be reused across different IR ...

We tackle the problem of obtaining general information about vehicle traffic in a city from movement data collected by individual vehicles. An important issue here is the possible violation of the privacy of the vehicle users. Movement data are sensitive because they may describe typical movement behaviors and therefore be used for re-identification of individuals in a database. We provide a pr...

This paper describes a novel approach to automate extraction of useful information from tables and to record the knowledge procured in a structured data repository. The approach is based on modeling a behavior of an expert, who collects tabular data and maps them to a predefined relational schema. Experimental results demonstrate that the proposed approach predicts expert decisions with high ac...

We propose a decentralized traffic information system—AutoNomos—that is based on a thorough investigation of the properties of traffic and recommends a hierarchical data aggregation and forwarding for providing individualized information and support to road users. Our approach differs from work in the field by consequently applying local rules and local decentralized data processing, which turn...