ABSTRACT
Z-number, proposed by Zadeh is an ordered pair of fuzzy numbers which have the capability to depict both the reliability and certainty of any available information. Likewise, based upon Belnap's four-valued logic, Quadripartitioned Single-Valued Neutrosophic Sets (QSVNSs) are characterized by four independent components of truth, contradiction, ignorance, and falsity degrees to represent uncertain information or data at hand. In fact, QSVNSs are extensions of Single-Valued Neutrosophic Sets (SVNSs) where the indeterminacy component is further partitioned into two parts - contradiction and ignorance. However, QSVNSs alone cannot reflect the reliability measure of decision maker's preferences or allocations. Thus, for better modeling of uncertainty and to combine the information of truth, contradiction, ignorance, and falsity degrees with their respective reliability attributes, we put forward a hybrid framework for the first time in this study. Hence, we propose a notion of Quadripartitioned Single-Valued Neutrosophic Z-number (QSVNZN), which is constructed as a generalization of the Z-number and the QSVNSs. Some basic operations and a score function are also defined for ranking QSVNZNs. Moreover, we also aggregate QSVN information with the help of three weighted aggregation operators viz., QSVNZN weighted arithmetic averaging (QSVNZNWAA) operator, QSVNZN weighted geometric averaging (QSVNZNWGA) operator, and QSVNZN weighted hybrid averaging (QSVNZNWHA) operator. Several suitable properties and relations between these operators are also presented. The applicability of our newly proposed operators and the score function is demonstrated in three multi-criteria decision making (MCDM) occasions specifically in the COVID-19 context. Meticulous comparative analysis, the validity of our proposed approaches, sensitivity analysis, and runtime analysis is also carried out to depict the legitimacy, veracity, and feasibility of our theoretical construct. The obtained results shall greatly benefit the decision-makers to deal with indeterminate and inconsistent information efficiently. Or in other words, the new framework shall exhibit sufficient descriptive ability from the human-cognition-based perspective.
ABSTRACT
The sudden outbreak of the COVID-19 pandemic has led to certain circumstances that affected the normal lives of the people. The only alternative left to stop the spread was to impose nationwide lockdown. Like other spheres of life, this pandemic has also brought changes to the teaching learning process. A radical transformation was seen from offline mode of teaching to online mode;both the teachers and the students have been facing problems adapting to the new change. Besides psychological trauma, researchers had to face other problems due to the sudden lockdown of the country. They could not access the library service which plays a very crucial role in any successful research work. Researchers from Assam have also been facing difficulties in their research work. However, it seems that various e-resources appeared to be of great help for the researchers. This paper is an endeavour to understand the role of e-resources in research work in Assam during the crisis.
ABSTRACT
The whole world is fighting against the pandemic situation created by the outbreak of COVID-19. Health workers, all over the world, are rendering service by putting their lives at stake. Health workers of Assam are also working relentlessly. This study attempts to analyse the role of the Accredited Social Health Activist or the ASHA workers of Assam in the fight against this pandemic situation. They have been serving the community to save it from this pandemic. They have faced a number of challenges while delivering their service. An attempt has been made in the current study to understand those challenges and to understand their side of the story.