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Multiple attribute group decision‐making based on order‐α divergence and entropy measures under q‐rung orthopair fuzzy environment
(Wiley, 2020)
The q-rung orthopair fuzzy set ((ROPFS)-R-q), proposed by Yager, is a more effective and proficient tool to represent uncertain or vague information in real-life situations. Divergence and entropy are two important measures, ...
A decision-making approach based on new aggregation operators under fermatean fuzzy linguistic information environment
(MDPI, 2021)
Fermatean fuzzy linguistic (FFL) set theory provides an efficient tool for modeling a higher level of uncertain and imprecise information, which cannot be represented using intuitionistic fuzzy linguistic (IFL)/Pythagorean ...
Generalized Hamacher aggregation operators for intuitionistic uncertain linguistic sets: Multiple attribute group decision making methods
(MDPI AG, 2019)
In this paper, we consider multiple attribute group decision making (MAGDM) problems in which the attribute values take the form of intuitionistic uncertain linguistic variables. Based on Hamacher operations, we developed ...
Partitioned Heronian means based on linguistic intuitionistic fuzzy numbers for dealing with multi attribute group decision making
(Elsevier, 2018)
Heronian mean (HM) operator has the advantages of considering the interrelationships between parame-ters, and linguistic intuitionistic fuzzy number (LIFN), in which the membership and non-membership areexpressed by ...
A multiple criteria decision-making approach for increasing the preparedness level of sales departments against COVID-19 and future pandemics: A real-world case
(Corporación Universidad de la Costa, 2021)