@inproceedings{e0d57835f0794aec903caf73340238f1,
title = "A novel intelligent technique for product acceptance process optimization on the basis of misclassification probability in the case of log-location-scale distributions",
abstract = "In this paper, to determine the optimal parameters of the product acceptance process under parametric uncertainty of underlying models, a new intelligent technique for optimization of product acceptance process on the basis of misclassification probability is proposed. It allows one to take into account all possible situations that may occur when it is necessary to optimize the product acceptance process. The technique is based on the pivotal quantity averaging approach (PQAA) which allows one to eliminate the unknown parameters from the problem and to use available statistical information as completely as possible. It is conceptually simple and easy to use. One of the most important features of the proposed new intelligent technique for optimization of product acceptance process on the basis of misclassification probability is its great generality, enabling one to optimize diverse problems within one unified framework. To illustrate the proposed technique, the case of log-location-scale distributions is considered under parametric uncertainty.",
keywords = "Misclassification probability, Optimization, Product acceptance",
author = "Nicholas Nechval and Gundars Berzins and Konstantin Nechval",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019 ; Conference date: 09-07-2019 Through 11-07-2019",
year = "2019",
doi = "10.1007/978-3-030-22999-3\_68",
language = "English",
isbn = "9783030229986",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "801--818",
editor = "Franz Wotawa and Ingo Pill and Roxane Koitz-Hristov and Gerhard Friedrich and Moonis Ali",
booktitle = "Advances and Trends in Artificial Intelligence. From Theory to Practice - 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Proceedings",
address = "Germany",
}