2021
DOI: 10.1002/int.22520
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Why do we need q‐rung orthopair fuzzy sets? Some evidence established via mass assignment

Abstract: Intuitionistic fuzzy sets (IFSs) have advantage over fuzzy sets and made it possible to describe imprecise information considering its positive and negative aspects simultaneously. In an information system mass assignment and possibility theory are very useful to assign membership grades to elements in a fuzzy set.Unfortunately the situation differs for IFSs in assigning membership function (MF) and nonmembership function (NMF). In this paper, it is shown that the above-mentioned theories fail to produce the M… Show more

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Cited by 16 publications
(7 citation statements)
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“…Even though this method is useful and produces IFSs for several information systems, it does not yield IFSs in general. Shaheen et al proposed a modified algorithm for generating q-rung orthopair fuzzy sets (Shaheen et al, 2021). Therefore, the mass assignment (Shaheen et al, 2021) is carried out in this paper to obtain q-ROFSs from online product reviews.…”
Section: Q-rung Orthopair Fuzzy Set and Mass Assignmentmentioning
confidence: 99%
See 2 more Smart Citations
“…Even though this method is useful and produces IFSs for several information systems, it does not yield IFSs in general. Shaheen et al proposed a modified algorithm for generating q-rung orthopair fuzzy sets (Shaheen et al, 2021). Therefore, the mass assignment (Shaheen et al, 2021) is carried out in this paper to obtain q-ROFSs from online product reviews.…”
Section: Q-rung Orthopair Fuzzy Set and Mass Assignmentmentioning
confidence: 99%
“…Shaheen et al proposed a modified algorithm for generating q-rung orthopair fuzzy sets (Shaheen et al, 2021). Therefore, the mass assignment (Shaheen et al, 2021) is carried out in this paper to obtain q-ROFSs from online product reviews.…”
Section: Q-rung Orthopair Fuzzy Set and Mass Assignmentmentioning
confidence: 99%
See 1 more Smart Citation
“…Wei et al [24] presented some q-ROF z Heronian mean operators in the MCDM environment. Shaheen et al [25] presented an alternate algorithm to get these grading functions, supporting q-ROF z S. Peng et al [26] studied the exponential operation and aggregation operator for q-ROF z Ss, supported a replacement score function, and applied them to the choice of the teaching management system. Hussain et al [27] defined the covering based q-ROF z S rough set and proposed an approach to unravel DMP.…”
Section: Introductionmentioning
confidence: 99%
“…7 1 4 4 ≤ . For more details, readers may refer to Shaheen et al 12 Therefore, by increasing the parameter q, q-ROpFSs allows the experts to assign membership grade and nonmembership grade autonomously. Thus, q-ROpFSs are more proficient and flexible to deal with the higher level of vague or uncertain realistic information.…”
mentioning
confidence: 99%