Copula-Based Approach to Synthetic Population Generation

Copula-Based Approach to Synthetic Population Generation

Generating synthetic baseline populations is a fundamental step of agent-based modeling and simulation, which is growing fast in a wide range of socio-economic areas including transportation planning research. Traditionally, in many commercial and non-commercial microsimulation systems, the iterative proportional fitting (IPF) procedure has been used for creating the joint distribution of indiv...

A copula - based approach to aggregation functions

This paper presents the role of copula functions in the theory of aggregation operators and an axiomatic characterization of Archimedean aggregation functions. In this context we are focusing our attention about several properties of aggregation functions, like supermodularity and Schur-concavity.

A copula-based approach to aggregation operators

Aggregation operators transform a finite number of inputs, called arguments, into a single output. They are applied in many theoretical and practical domains and in particular aggregation operators play important role in different approaches to decision making, where values to be aggregated are typically preference or satisfaction degrees. Many operators of different type have been considered i...

Synthetic Population Generation: A Heuristic Data-Fitting Approach and Validations

SFinGe: an Approach to Synthetic Fingerprint Generation

This paper describes SFinGe, a method for generating synthetic fingerprints on the basis of some mathematical models that describe the main features of real fingerprints. The synthetic images are randomly generated according to few given parameters. SFinGe captures the variability which characterizes the acquisition of fingerprints through on-line sensors and uses a sequence of steps to derive ...