TY - GEN
T1 - MIST (Model Identification and Selection Tool)
T2 - Towards a Vision for Information Technology in Civil Engineering: Proceedings of the Fourth Joint International Symposium on Information Technology in Civil Engineering
AU - Teegavarapu, Ramesh S.V.
AU - Tangirala, Anil Kumar
AU - Ormsbee, Lindell
PY - 2003
Y1 - 2003
N2 - A Knowledge-based system, MIST (Model Identification and Selection Tool), is developed for selection of water quality models. A knowledge base is set up using information collected from a number of manuals, literature searches, to facilitate this selection process. The knowledge is then codified into a knowledge-base that can be used within a knowledge-based system. A knowledge-base skeleton, M.4, is used as a backbone to develop the system. The knowledgebase skeleton provides a mechanism to develop rules in production rule format, and includes forward and backward chaining goal seeking mechanisms, and allows the user to provide confidence/certainty factors to the answers provided in the process of consultation. The front-end of the decision support system is developed using integrated development environment (IDE) under visual basic (VB) programming to provide a graphical interface for the end user. MIST consists of a number of modules (knowledge-bases) that are relevant to few classes of modeling environments. Results suggest that MIST can be used as a model selection tool for inexperienced modelers.
AB - A Knowledge-based system, MIST (Model Identification and Selection Tool), is developed for selection of water quality models. A knowledge base is set up using information collected from a number of manuals, literature searches, to facilitate this selection process. The knowledge is then codified into a knowledge-base that can be used within a knowledge-based system. A knowledge-base skeleton, M.4, is used as a backbone to develop the system. The knowledgebase skeleton provides a mechanism to develop rules in production rule format, and includes forward and backward chaining goal seeking mechanisms, and allows the user to provide confidence/certainty factors to the answers provided in the process of consultation. The front-end of the decision support system is developed using integrated development environment (IDE) under visual basic (VB) programming to provide a graphical interface for the end user. MIST consists of a number of modules (knowledge-bases) that are relevant to few classes of modeling environments. Results suggest that MIST can be used as a model selection tool for inexperienced modelers.
UR - https://www.scopus.com/pages/publications/1642339651
UR - https://www.scopus.com/pages/publications/1642339651#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:1642339651
SN - 0784407045
SN - 9780784407042
T3 - Towards a Vision for Information Technology in Civil Engineering
SP - 373
EP - 383
BT - Towards a Vision for Information Technology in Civil Engineering
A2 - Flood, I.
A2 - Flood, I.
Y2 - 15 November 2003 through 16 November 2003
ER -