Modeling the Employment Using Distributed Agenciesand Data Mining

There are several ways to model a complex social system, as is the employment. This work is motivated by need to establish a model for the study of social and economic systems in situations where conventional analysis is insufficient; this paper is to present a methodology applied to complex social problems with soft computing.

[1]  S. Stefanescu Applying Nelder Mead’s Optimization Algorithm for Multiple Global Minima , 2007 .

[2]  Oscar Castillo,et al.  Interval Type-2 Fuzzy Logic Toolbox , 2007, Eng. Lett..

[3]  J. José.,et al.  Autonomía constitucional del Instituto Nacional de Estadística, Geografía e Informática (INEGI) , 2006 .

[4]  Leo Egghe,et al.  TOP-curves: Research Articles , 2007 .

[5]  N. Gilbert Computational Social Science , 2010 .

[6]  Stephen Gilmore,et al.  Evaluating the Performance of Skeleton-Based High Level Parallel Programs , 2004, International Conference on Computational Science.

[7]  Zhengxin Chen,et al.  Using Branch-Grafted R-trees for Spatial Data Mining , 2004, International Conference on Computational Science.

[8]  Lotfi A. Zadeh,et al.  From Computing with Numbers to Computing with Words - from Manipulation of Measurements to Manipulation of Perceptions , 2005, Logic, Thought and Action.

[9]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[10]  Michael Drennan,et al.  The Human Science of Simulation: a Robust Hermeneutics for Artificial Societies , 2004, J. Artif. Soc. Soc. Simul..

[11]  Zhengxin Chen,et al.  A Descriptive Framework for the Field of Data Mining and Knowledge Discovery , 2008, Int. J. Inf. Technol. Decis. Mak..

[12]  Chung Ding Yea,et al.  THE SIMULATION OF URBAN GROWTH APPLYING SLEUTH CA MODEL TO THE YILAN DELTA IN TAIWAN , 2007 .

[13]  Bogart Yail Márquez,et al.  On the modeling of a sustainable system for urban development simulation using data mining and distributed agencies , 2010, The 2nd International Conference on Software Engineering and Data Mining.

[14]  Detlef Nauck,et al.  Intelligent Systems and Soft Computing: Prospects, Tools and Applications , 2000 .

[15]  Witold Pedrycz,et al.  Soft Computing for Hybrid Intelligent Systems , 2008, Soft Computing for Hybrid Intelligent Systems.

[16]  Bogart Yail Márquez,et al.  On the simulation of a sustainable system using modeling dynamic systems and distributed agencies , 2010, INC2010: 6th International Conference on Networked Computing.

[17]  Manuel Castañón-Puga,et al.  Analyzing the Mexican microfinance industry using multi-level multi-agent systems , 2009, SpringSim '09.