@inproceedings{4d3b47e311904838be82a901e2b98441,
title = "Ontology-based representation of design decision hierarchies",
abstract = "It is efficacious to capture and represent the knowledge for decision support in engineering design. Ontology is a promising knowledge modeling scheme in the engineering domain. In this paper an ontology is proposed for capturing∗representing and documenting the knowledge related to hierarchical decisions in the design of complex engineered systems. The ontology is developed based on the coupled Decision Support Problem (DSP) construct∗taking into consideration the requirements for a computational model that represents a decision hierarchy. Key to the ontology is the concept of two classes∗namely∗Process which represents the basic hierarchy building blocks where the DSPs are embedded∗and Interface which represents the DSP information flows that link different Processes to a hierarchy. The efficacy of the ontology is demonstrated using a portal frame design example.",
keywords = "Complex systems, Decision Hierarchy, Decision support problems, Design, Ontology",
author = "Zhenjun Ming and Yan Yan and Guoxin Wang and Panchal, \{Jitesh H.\} and Goh, \{Chung Hyun\} and Allen, \{Janet K.\} and Farrokh Mistree",
note = "Publisher Copyright: Copyright {\textcopyright} 2016 by ASME.; ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2016 ; Conference date: 21-08-2016 Through 24-08-2016",
year = "2016",
doi = "10.1115/DETC2016-59405",
language = "English",
series = "Proceedings of the ASME Design Engineering Technical Conference",
publisher = "American Society of Mechanical Engineers (ASME)",
booktitle = "36th Computers and Information in Engineering Conference",
address = "United States",
}