Intelligent interface for decision support system in metallurgical domain

Intelligent interface for decision support system in metallurgical domain

Krzysztof Regulski1, Gabriel Rojek1, Dorota Wilk-Kołodziejczyk1, Stanisława Kluska-Nawarecka2, Edward Nawarecki1, Grzegorz Dobrowolski1

1AGH University of Science and Technology, al. A. Mickiewicza 30, Krakow, Poland.
2Foundry Research Institute, Zakopianska 73, Krakow, Poland.

DOI:

https://doi.org/10.7494/cmms.2015.1.0505

Abstract:

Extensive decision support system composed of several modules providing different functionalities for the user can be a challenge in designing of a usable, plain and consistent user interface. A characteristic of advisory systems in the domain of metallurgy is their complex architecture designed to deal with multiple types of tasks in many areas. The objective of this paper is to present the possibility of creating an intelligent interface providing the user with complete freedom to act without precise knowledge of the multiple functionality of the system. The paper presents the architecture of developed advisory system in the domain of metallurgy enriched with the description of mechanisms, which enable obtaining an intelligent user interface. The intelligent user interface should guide the user at navigation through all system modules in order to meet all needs that are the reason for this system usage. In designing of such interface, the Case-Based Reasoning methodology is proposed to be used. Case-Based Reasoning ensures a pattern for building systems that are able to learn on the basis of human actions associated with human decisions and use such knowledge to resolve the currently appearing problems. Each user query directed to the system, and each of his decisions about the choice of functionalities of the system modules supplies the system with the crucial information on proper use of the whole decision support unit related with the needs of a user. Skillful use of this knowledge can provide convenient and efficient performance of intelligent interface.

Cite as:

Regulski, K., Rojek, G., Wilk-Kołodziejczyk, D., Kluska-Nawarecka, S., Nawarecki, E., & Dobrowolski, G. (2015). Intelligent interface for decision support system in metallurgical domain. Computer Methods in Materials Science, 15(1), 71-77. https://doi.org/10.7494/cmms.2015.1.0505

Article (PDF):

Keywords:

Intelligent interface, Metallurgy, Decision support system, Case-Based Reasoning, Information technology

References: