@Article{cmes.2023.026169,
AUTHOR = {Salma Khan, Muhammad Gulistan, Nasreen Kausar, Dragan Pamucar, Tzung-Pei Hong, Hafiz Abdul Wahab},
TITLE = {Aggregation Operators for Decision Making Based on q-Rung Orthopair Fuzzy Hypersoft Sets: An Application in Real Estate Project},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {136},
YEAR = {2023},
NUMBER = {3},
PAGES = {3141--3156},
URL = {http://www.techscience.com/CMES/v136n3/51813},
ISSN = {1526-1506},
ABSTRACT = {In this paper, a decision-making problem with a q-rung orthopair fuzzy hypersoft environment is developed,
and two operators of ordered weighted average and induced ordered weighted average are developed. Several
fundamental features are also derived. The induced ordered weighted average operator is essential in a q-ROFH
environment as the induced ordered aggregation operators are special cases of the existing aggregation operators
that already exist in q-ROFH environments. The main function of these operators is to help decision-makers gain
a complete understanding of uncertain facts. The proposed aggregation operator is applied to a decision-making
problem, with the aim of selecting the most promising real estate project for investment.},
DOI = {10.32604/cmes.2023.026169}
}