2021
DOI: 10.1155/2021/9964492
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Multicriteria Decision-Making Approach for Pythagorean Fuzzy Hypersoft Sets’ Interaction Aggregation Operators

Abstract: In this paper, we examine the multicriteria decision-making (MCDM) difficulties for Pythagorean fuzzy hypersoft sets (PFHSSs). The PFHSSs are a suitable extension of the Pythagorean fuzzy soft sets (PFSSs) which deliberates the parametrization of multi-subattributes of considered parameters. It is a most substantial notion for describing fuzzy information in the decision-making (DM) procedure to accommodate more vagueness comparative to existing PFSSs and intuitionistic fuzzy hypersoft sets (IFHSSs). The core … Show more

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Cited by 9 publications
(5 citation statements)
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References 44 publications
(70 reference statements)
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“…Table 5 below presents the projected technique and the characteristic analysis of some existing models. × × IVIFWG [42] × × IVPFWA [14] × × IVPFWG [15] × × IFSWA [20] × × IFSWG [20] × × IVIFSWA [22] × IVIFSWG [22] × PFSWA [24] × × PFSWG [24] × × PFSIWA [25] × × PFSIWG [25] × × IVPFSWA [29] × IVPFSWG [29] × IFHSWA [36] × IFHSWG [36] × PFHSWA [43] × PFHSWG [43] × PFHSIWA [44] × (Continued)…”
Section: Supremacy Of the Planned Techniquementioning
confidence: 99%
“…Table 5 below presents the projected technique and the characteristic analysis of some existing models. × × IVIFWG [42] × × IVPFWA [14] × × IVPFWG [15] × × IFSWA [20] × × IFSWG [20] × × IVIFSWA [22] × IVIFSWG [22] × PFSWA [24] × × PFSWG [24] × × PFSIWA [25] × × PFSIWG [25] × × IVPFSWA [29] × IVPFSWG [29] × IFHSWA [36] × IFHSWG [36] × PFHSWA [43] × PFHSWG [43] × PFHSIWA [44] × (Continued)…”
Section: Supremacy Of the Planned Techniquementioning
confidence: 99%
“…(Pythagorean fuzzy hyper soft set) [36] Let M be a universal set and be a power set of M and , 1 be a attributes set and set a set of corresponding sub-attributes of respectively with for 1 for each 1 2 3 and . The pair is referred as PFHSS over M and its mapping is PFHSN can be denoted as , with 0 1 …”
Section: Preliminariesmentioning
confidence: 99%
“…The induced generalised intuitionistic fuzzy ordered weighted averaging (I-GIFOWA) and induced generalised interval-valued intuitionistic fuzzy ordered weighted averaging (I-GIIFOWA) operators were introduced by Xu et al [21]. For the sake of better decision-making, Zulqarnain et al [22] also explored a variety of aggregation operators in a Pythagorean fuzzy hypersoft environment. Basic aggregation operators, such as the weighted average and weighted geometric operators were designed by Liu et al [23], and they were applied in a scenario based on q-rung orthopair fuzzy information.…”
Section: Introductionmentioning
confidence: 99%