@inproceedings{864a8794e15b424595043f0ba5c90d25,
title = "Similarity Measures in Decision Making",
abstract = "In this paper, the authors present two similarity measure-based approaches. First, the problem is studied when multiple experts' opinions are available. The purpose of using the similarity measure-based approach is to find the similarities between the different opinions. In this process, the maximum value of the fuzzy sets represents the degree of confidence of each expert. Furthermore, the authors propose a similarity measure-based process to monitor the current results of a real time system. In this method, the desired output is specified and then the current system output can be compared to the desired ones, so as to be able to recognize the abnormal values immediately.",
keywords = "decision making, expert systems, fuzzy logic, similarity measures",
author = "Edit T{\'o}th-Laufer and Batyrshin, {Ildar Z.} and Rudas, {Imre J.}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 10th IEEE Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems, ICCC 2022 ; Conference date: 06-07-2022 Through 09-07-2022",
year = "2022",
doi = "10.1109/ICCC202255925.2022.9922817",
language = "Ingl{\'e}s",
series = "ICCC 2022 - IEEE 10th Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "191--196",
booktitle = "ICCC 2022 - IEEE 10th Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems, Proceedings",
address = "Estados Unidos",
}