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NEUTROSOPHIC STATISTICAL METHOD TO ANALYZE HUMIDITY SENSOR DATA WITH PLA FILMS
Keywords:
classical statistics, uncertainty, imprecise data, sensor, neutrosophic statistics.DOI:
https://doi.org/10.17654/0972361724002Abstract
This research delves into a comparative exploration of interval data analysis, incorporating both uncertainty and indeterministic approaches. The primary focus of this study centers on scrutinizing the resistance variance of a sensor in relation to relative humidity, using imprecise data. The inclusion of imprecise data permits the application of two distinct statistical methodologies: classical statistics (referred to as uncertain analysis) and neutrosophic statistical methods (referred to as neutrosophic analysis) for a comprehensive understanding of data variance. The outcomes of this investigation encompass the visualization of imprecise data through graphical representations. Through the comparative analysis conducted, it is established that neutrosophic statistics demonstrate greater informativeness, flexibility, and suitability in the context of analyzing imprecise sensor data.
Received: September 28, 2023
Accepted: November 21, 2023
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