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Group Generalized q-Rung Orthopair Fuzzy Soft Sets: New Aggregation Operators and Their Applications
Author(s) -
Khizar Hayat,
Raja Aqib Shamim,
Hussain AlSalman,
Abdu Gumaei,
Xiaopeng Yang,
Muhammad Azeem Akbar
Publication year - 2021
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2021/5672097
Subject(s) - fuzzy logic , mathematics , fuzzy set , soft computing , group (periodic table) , multiple criteria decision analysis , range (aeronautics) , mathematical optimization , computer science , discrete mathematics , artificial intelligence , physics , engineering , quantum mechanics , aerospace engineering
In recent years, q-rung orthopair fuzzy sets have been appeared to deal with an increase in the value of q > 1 , which allows obtaining membership and nonmembership grades from a larger area. Practically, it covers those membership and nonmembership grades, which are not in the range of intuitionistic fuzzy sets. The hybrid form of q-rung orthopair fuzzy sets with soft sets have emerged as a useful framework in fuzzy mathematics and decision-makings. In this paper, we presented group generalized q-rung orthopair fuzzy soft sets (GGq-ROFSSs) by using the combination of q-rung orthopair fuzzy soft sets and q-rung orthopair fuzzy sets. We investigated some basic operations on GGq-ROFSSs. Notably, we initiated new averaging and geometric aggregation operators on GGq-ROFSSs and investigated their underlying properties. A multicriteria decision-making (MCDM) framework is presented and validated through a numerical example. Finally, we showed the interconnection of our methodology with other existing methods.

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