@inproceedings{e14a1abd0fcf4581a5b4bc0d1e151dbd,
title = "Improved Grey Relational Analysis for Model Validation",
abstract = "GRA (Grey Relational Analysis) is a typical time series similarity analysis method. However in model validation, it cannot satisfy the feature of monotonicity, and the result is lack of precision. Based on several similarity measurement criteria of time series data, traditional GRA method is developed and modified to satisfy normalization, symmetry and monotonicity. Case study shows that, improved GRA can produce a better similarity analysis result, which is in accordance with the result of TIC (Theil{\textquoteright}s Inequality Coefficient).",
keywords = "Improved grey relational analysis, Model validation, Monotonicity, Similarity analysis, TIC",
author = "Ke Fang and Yuchen Zhou and Ju Huo",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; 19th Asia Simulation Conference, AsiaSim 2019 ; Conference date: 30-10-2019 Through 01-11-2019",
year = "2019",
doi = "10.1007/978-981-15-1078-6\_21",
language = "英语",
isbn = "9789811510779",
series = "Communications in Computer and Information Science",
publisher = "Springer",
pages = "243--250",
editor = "Gary Tan and Teo, \{Yong Meng\} and Axel Lehmann and Wentong Cai",
booktitle = "Methods and Applications for Modeling and Simulation of Complex Systems - 19th Asia Simulation Conference, AsiaSim 2019, Proceedings",
address = "德国",
}