University of Isfahan Computational Intelligence in Electrical Engineering 2821-0689 12 4 2021 12 22 Introducing a sensor fusion method using an interval decision template for handling uncertainty in sensor data Introducing a sensor fusion method using an interval decision template for handling uncertainty in sensor data 103 118 26680 10.22108/isee.2022.127131.1449 FA Mehdi Salkhordeh Haghighi Faculty of Computer Engineering and Information Technology, Sadjad University, Mashhad, Iran, IEEE Senior Member Journal Article 2021 01 22 Data fusion techniques have been used in decision making applications for many years. The methods introduced for data fusion, synergistically combine different types of data received from different sources or sensors. In this research, a fusion method is introduced for data fusion, synergistically combine different types of data received from different sources or sensors. In this research, a fusion method is introduced that can be used in situations in which the data received from different sources or sensors have some level of uncertainty and are represented as intervals. The main challenge in these situations is how the uncertainty may be represented and handled. The contribution of this paper is in three parts. First, a special tool is presented for the representation of the uncertainties that can be used in the fusion methods that use intervals (named interval decision template). Second, a fusion method is introduced to use the tool as a basic structure. And finally, the decision template and fusion method are combined with some known fusion methods for handling uncertainty. The designed experiments indicate how the interval decision template is used for data fusion and also indicate the effectiveness of the presented fusion method. Moreover, some experiments are designed to indicate the effectiveness of using the interval decision template by Dempster Shafer and Bayes methods to handle interval data. Data fusion techniques have been used in decision making applications for many years. The methods introduced for data fusion, synergistically combine different types of data received from different sources or sensors. In this research, a fusion method is introduced for data fusion, synergistically combine different types of data received from different sources or sensors. In this research, a fusion method is introduced that can be used in situations in which the data received from different sources or sensors have some level of uncertainty and are represented as intervals. The main challenge in these situations is how the uncertainty may be represented and handled. The contribution of this paper is in three parts. First, a special tool is presented for the representation of the uncertainties that can be used in the fusion methods that use intervals (named interval decision template). Second, a fusion method is introduced to use the tool as a basic structure. And finally, the decision template and fusion method are combined with some known fusion methods for handling uncertainty. The designed experiments indicate how the interval decision template is used for data fusion and also indicate the effectiveness of the presented fusion method. Moreover, some experiments are designed to indicate the effectiveness of using the interval decision template by Dempster Shafer and Bayes methods to handle interval data. https://isee.ui.ac.ir/article_26680_49f76f0df0d1b749bcf8b334039ca9d9.pdf