Comparing Multiple Social NetworksUsing Mutiple Dimensional Scaling

Comparing Multiple Attribute System Selection and Social Choice Preference Aggregation

Comparison of information systems by evaluation of several specified criteria is a critical and often arduous process in organizational IT. The process is often done by compilation and consolidation of utility values using weights for the criteria. There is ample room for manipulation and misrepresentation of system aspects via the use of utility values and weights. In this work simulation resu...

Semantic Web and Mutiple-agents in Scm

In recent years, many researches about how to efficiently handling information on logistics in supply chain have been proposed. Some focus on applying artificial intelligence to solving the problem. Most of the above approaches, however, usually consider multiple agents and simulation systems in single companies. Besides, they seldom consider using semantics to allow flexible information query ...

Incremental Multi-Dimensional Scaling

Multi-Dimensional Scaling (MDS) is a widely used method for embedding a given distance matrix into a low dimensional space, used both as a preprocessing step for many machine learning problems, as well as a visualization tool in its own right. In this paper, we present an incremental version of MDS (iMDS). In iMDS, d-dimensional data points are presented in a stream, and the task is to embed th...

Discrete Multi-Dimensional Scaling

In recent years, a number of models of lexical access based on attractor networks have appeared. These models reproduce a number of effects seen in psycholinguistic experiments, but all suffer from unrealistic representations of lexical semantics. In an effort to improve this situation we are looking at techniques developed in the information retrieval literature that use the statistics found i...

Methods for Scaling and Comparing Adsorption Datasets