@Article{cmes.2022.019408,
AUTHOR = {Rana Muhammad Zulqarnain, Imran Siddique, Aiyared Iampan, Dumitru Baleanu},
TITLE = {Aggregation Operators for Interval-Valued Pythagorean Fuzzy So Set with Their Application to Solve Multi-Attribute Group Decision Making Problem},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {131},
YEAR = {2022},
NUMBER = {3},
PAGES = {1717--1750},
URL = {http://www.techscience.com/CMES/v131n3/47407},
ISSN = {1526-1506},
ABSTRACT = {Interval-valued Pythagorean fuzzy so set (IVPFSS) is a generalization of the interval-valued intuitionistic fuzzy
so set (IVIFSS) and interval-valued Pythagorean fuzzy set (IVPFS). The IVPFSS handled more uncertainty
comparative to IVIFSS; it is the most signicant technique for explaining fuzzy information in the decision-making
process. In this work, some novel operational laws for IVPFSS have been proposed. Based on presented operational
laws, two innovative aggregation operators (AOs) have been developed such as interval-valued Pythagorean fuzzy
so weighted average (IVPFSWA) and interval-valued Pythagorean fuzzy so weighted geometric (IVPFSWG)
operators with their fundamental properties. A multi-attribute group decision-making (MAGDM) approach has
been established utilizing our developed operators. A numerical example has been presented to ensure the validity
of the proposed MAGDM technique. Finally, comparative studies have been given between the proposed approach
and some existing studies. The obtained results through comparative studies show that the proposed technique is
more credible and reliable than existing approaches.},
DOI = {10.32604/cmes.2022.019408}
}