An innovative approach to passport quality assessment based on the possibility q-rung ortho-pair fuzzy hypersoft set

Cosine and cotangent similarity measures for intuitionistic fuzzy hypersoft sets with application in MADM problem

“…Debnath [ 34 ] presented the fuzzy hypersoft sets and associated weighting operators for decision-making. Saeed et al presented intuitionistic fuzzy hypersoft sets (IFHSS) [ 35 ]. Jafar et al [ 36 ] proposed the aggregate operators of FHSS and Saeed et al [ 35 , 37 ] developed the similarity measures for complex fuzzy Hypersoft set and discussed its basic operators with mathematical applications.…”

“…Saeed et al presented intuitionistic fuzzy hypersoft sets (IFHSS) [ 35 ]. Jafar et al [ 36 ] proposed the aggregate operators of FHSS and Saeed et al [ 35 , 37 ] developed the similarity measures for complex fuzzy Hypersoft set and discussed its basic operators with mathematical applications. N-soft sets, image fuzzy, interval-valued picture fuzzy, and picture fuzzy are a few additional definitions and operators for the set structures.…”

A robust algorithmic framework for the evaluation of international cricket batters in ODI format based on q-rung linguistic neutrosophic quantification

“…The truthiness and falsity in this example denote the degree of agreement and disagreement with each linguistic phrase, respectively. Decision-makers in a variety of industries, including banking, medical, engineering, and decision support systems, can manage more complex and ambiguous information by employing q-LNS fuzzy sets, which enables them to make more educated judgments [35] , [36] . QLNF operators, such as QLNF weighted aggregation [37] operators and QLNF hesitant fuzzy linguistic term sets, perform various decision-making tasks in a Q-LNs framework.…”