https://www.socictopen.socict.org/files/original/2c2a1a25cc1ca11a9c24f9ba7498c800.pdf d24568c8f9287915f362f7d6b0f55adc Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource EDAS method for decision support modeling under the Pythagorean probabilistic hesitant fuzzy aggregation information. Creator An entity primarily responsible for making the resource Bushra Batool, Shougi Suliman Abosuliman, Saleem Abdullah, Shahzaib Ashraf Description An account of the resource The significance of emergency decision-making (EmDM) has been experienced recently due to the continuous occurrence of various emergency situations that have caused significant social and monetary misfortunes. EmDM assumes a manageable role when it is important to moderate property and live misfortunes and to reduce the negative effects on the social and natural turn of events. Genuine world EmDM issues are usually described as complex, time-consuming, lack of data, and the effect of mental practices that make it a challenging task for decision-makers. This article shows the need to manage the various types of vulnerabilities and to monitor practices to resolve these concerns. In clinical analysis, how to select an ideal drug from certain drugs with efficacy values for coronavirus disease has become a common problem these days. To address this issue, we are establishing a multi-attribute decision-making approach (MADMap) based on the EDAS method under Pythagorean probabilistic hesitant fuzzy information. In addition, an algorithm is developed to address the uncertainty in the selection of drugs in EmDM issues with regards to clinical analysis. The actual contextual analysis of the selection of the appropriate drug to treat coronavirus ailment is utilized to show the practicality of our proposed technique. Finally, with the help of a comparative analysis of the TOPSIS technique, we demonstrate the efficiency and applicability of the established methodology. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource decision making, Pythagorean probabilistic hesitant fuzzy set Identifier An unambiguous reference to the resource within a given context 10.1007/s12652-021-03181-1 Source A related resource from which the described resource is derived Journal of ambient intelligence and humanized computing