Expert System for the identification of Plastic Materials

Mateo Lezcano Brito, Minerva Lezcano Brito, Lydia Ríos Rodríguez


Introduction: This research article is an update of the project “Expert System for the selection of plastic materials for the design and preparation of new products”, developed in 1990 by the Central University “Marta Abreu” of Las Villas. The objective of the current research, conducted in the year 2015 by the Cooperative University of Colombia, is to update the expert system developed in 1990. Methodology: The Common kads methodology was used for the development of the expert system, which allows the structuration of knowledge by creating a distinction between different domains of application, task and inference, thus enabling the reuse of components. During the inference process, a search direction directed by objectives was used, due to the characteristics of knowledge contained in the bases, in which the inference process is initiated without preliminary information. Results: The newer version of the system improves the inferences, offers a more user-friendly interface and extends knowledge. Discussion: The addition of knowledge bases, adapted to new situations, has an effect in the elicitation of better and more substantiating research answers, and the implementation of the new system over ucShell 3.0 provides a remarkable improvement in the interface, including the possibility of offering images and video during the inference process and admitting knowledge bases of any size while facilitating their exchange.


reverse engineering; artificial intelligence; plastics; expert system;


R. L. Brachman and H. J. Levesque, Knowledge Representation and Reasoning. San Francisco, CA, USA: Morgan Kaufmann, 2004.

S. H. Liao, "Expert system methodologies and applications -a decade review from 1995 to 2004," Expert Systems with Applications, vol. 28, no. 1, pp. 93-103, Jan 2005.

S. Sahin, M.R. Tolun and R. Hassanpou, "Hybrid expert systems: A survey of current approaches and applications," Expert Systems with Applications, vol. 39, no. 4, pp. 4609–4617, Mar 2012.

J. Efstathiou, A. Calinescu and G. Blackburn, “A web-based expert system to assess the complexity of manufacturing organizations,” Robotics and Computer Integrated Manufacturing, vol. 18, no. 3-4, pp. 305–311, Jun–Augt 2002.

N. Dunstan, "Generating domain-specific web-based expert systems," Expert Systems with Applications, vol. 35, no. 3, pp. 686–690, Nov 2008.

Y. Duana, J.S. Edward, M.X. Xuc, "Web-based expert systems: benefits and challenges," Information & Management, vol. 42, no. 6, pp. 799–811, Sep 2005.

V. Martínez-Martínez, F. J. Gomez-Gil, J. Gomez-Gil and R. Ruiz-Gonzalez, "An Artificial Neural Network based expert system fitted with Genetic Algorithms for detecting the status of several rotary components in agro-industrial machines using a single vibration signal," Expert Systems with Applications, vol. 42, no. 17-18, pp. 6433–6441, Oct 2015.

EcuRed, 2015 [En línea]. Disponible en: Último acceso 28 Noviembre, 2015.

J. Schmuller and M. Warkentin, "VP-Expert 3.0: a fine shell improves with age," Journal PC AI, vol. 7, no. 5, pp. 33-36, Sep/Oct 1993.

P. Gabel, "Peter Gabel. Interdisciplinary investigations into applied cognitive science," 9 March 2013. [Online]. Available: [Accessed 28 November 2015].

F. Bianchiotti y S. Casas. "Guía para la Reingeniería de Sistemas Legados: Una Experiencia Práctica y Real," Revista Latinoamericana de Ingeniería de Software, vol 2, no. 2, pp. 99-106, Abr 2014.

M. SchobertSoftwaregestütztes Reverse-engineering von Logik-gattern in Integrierten schaltkreisen 2011. [Online]. Available: [Accessed 02 March 2016].

E.J. Chikofsky and E.J. Cross, "Reverse engineering and design recovery: a taxonomy," Software, IEEE, vol. 7, no. 1, pp. 13-17, Jan 1990.

S.L. Creen, M. Kendal, An Introduction to Knowledge Engineering, London, UK: Springer-Verlag, 2007.

N. R. Shadbolt and P. R. Smart, "Knowledge Elicitation," in Evaluation of Human Work, 4th ed. Boca Ratón, Florida: CRC Press. T&F, 2015.

M. G. Lezcano-Brito. “Ambientes de aprendizaje por descubrimiento para la disciplina Inteligencia Artificial” Distertación Ph.D., Dept. C. Computación. U. Central de Las Villas, Santa Clara, Cuba, 1998. No publicada en Internet.

M. G. Lezcano-Brito. Desarrollando sistemas expertos con UCShell. Santa Clara, Cuba: Felix Varela, 2012. No publicada en Internet.

I. Bratko, Prolog Programming for Artificial Intelligence. Canada: Pearson Education, 2011.

comments powered by Disqus

Article Metrics

Metrics Loading ...

Metrics powered by PLOS ALM

Revista indexada en:



Línea gratuita nacional

01 8000 420101


Facultad de Ingeniería
Avenida Caracas no. 37-15 
Bogotá, D.C.


(57) (1) 3323565

(57) 3004956353

Revista en OJS implementada por Biteca Ltda.