In this paper we propose a new approach, called a fuzzy class model for Poisson regression, in the analysis of heterogeneous count data. On the basis of fuzzy set concept and fuzzy classification maximum likelihood (FCML) procedures we create an FCML algorithm for fuzzy class Poisson regression models. Traditionally, the EM algorithm had been used for latent class regression models. Thus, the a...

We show for CES demands with heterogeneous production costs that profit, revenue, and output distributions lie in the same class as the productivity distribution (e.g., the "Pareto circle"), although the price distribution lies in the inverse class. We relate distribution shapes via the elasticities of their densities. Introducing product quality decouples the CES circle. Then, all distribution...

The connection between contradictory public opinions, heterogeneous believes and the emergence of democratic or dictatorial extremism is studied extending our former two state dynamic opinion model. Agents are attached to a social-cultural class. At each step they are distributed randomly in different groups within their respective class to evolve locally by majority rule. In case of a tie the ...

We address the problem of integrating heterogeneous data sources for collaborative environments such as Groupware systems. Pre-existing related distributed data is modeled by a composite object, where each data source is treated as a fragment of the composite object. We define a collection of methods which allow manipulation of the related distributed data in a controlled and consistent manner....

The problem of multi-class classification is explored using heterogeneous ensemble classifiers. Heterogeneous ensembles classifiers are defined as ensembles, or sets, of classifier models created using more than one type of classification algorithm. For example, the outputs of decision tree classifiers could be combined with the outputs of support vector machines (SVM) to create a heterogeneous...

Psychological barriers have always had negative effects on English learning. This research was done to compare the efficiency of TBILT and TBLT on learners’ fear of negative evaluation. The statistical population included all 4200 Babol Azad University students of whom 320 were volunteers to participate in English language classes via public invitation. Then, 90 students were selected using ava...

The connection between contradictory public opinions, heterogeneous beliefs, and the emergence of majority- or minority-induced extremism is studied, extending our former two-state dynamic opinion model. Agents are attached to a social-cultural class. At each step they are distributed randomly in different groups within their respective classes to evolve locally by majority rule. In case of a t...