Interval-valued pythagorean fuzzy similarity measure-based complex proportional assessment method for waste-to-energy technology selection
This study introduces an integrated decision-making methodology to choose the best “waste-
to-energy (WTE)” technology for “municipal solid waste (MSW)” treatment under the “interval …
to-energy (WTE)” technology for “municipal solid waste (MSW)” treatment under the “interval …
A new algorithm on pythagorean fuzzy-based multi-criteria decision-making and its application
R Chaurasiya, D Jain - Iranian Journal of Science and Technology …, 2023 - Springer
The rapid growth in information technology (IT) and the implementation of IT tools has aided
hospitals in delivering healthcare at an unprecedented pace. However, without the proper …
hospitals in delivering healthcare at an unprecedented pace. However, without the proper …
A decision-making technique under interval-valued Fermatean fuzzy Hamacher interactive aggregation operators
G Shahzadi, A Luqman, F Karaaslan - Soft Computing, 2023 - Springer
The evolution of a novel technique to handle multi-attribute decision-making (MADM)
problems under interval-valued Fermatean fuzzy numbers is the main motivation of this …
problems under interval-valued Fermatean fuzzy numbers is the main motivation of this …
Pattern recognition and medical diagnosis based on trigonometric similarity measures for bipolar complex fuzzy soft sets
Bipolar complex fuzzy soft sets, one of the substantial notions, generalize the notions of
bipolar complex fuzzy sets and soft sets. The notion of bipolar complex fuzzy soft sets is a …
bipolar complex fuzzy sets and soft sets. The notion of bipolar complex fuzzy soft sets is a …
Yager aggregation operators based on complex interval-valued q-rung orthopair fuzzy information and their application in decision making
As a more massive feasible and prominent tool than the complex interval-valued
Pythagorean fuzzy (CIVPF) set and complex interval-valued intuitionistic fuzzy (CIVIF) set …
Pythagorean fuzzy (CIVPF) set and complex interval-valued intuitionistic fuzzy (CIVIF) set …
Double hierarchy hesitant fuzzy linguistic information based framework for personalized ranking of sustainable suppliers
With the growing appetite for reducing carbon footprint, organizations are tirelessly working
towards green practices and one such crucial practice is purchasing raw materials from …
towards green practices and one such crucial practice is purchasing raw materials from …
Rough approximations of similarity measures under Pythagorean fuzzy information: a novel approach to decision-making
Rough sets offer an efficient mathematical framework to formalize the process of data
analysis and knowledge discovery in the presence of incomplete or uncertain information …
analysis and knowledge discovery in the presence of incomplete or uncertain information …
The potentials of the Southern & Eastern European countries in the process of the regionalization of the global supply chains using a q-rung orthopair fuzzy-based …
SH Zolfani, R Krishankumar, D Pamucar… - Computers & Industrial …, 2022 - Elsevier
Recent challenges such as COVID 19 and the blockage of the Suez Channel have shown
that the global supply chains (GSC) have extremely fragile structures. Hence, the GSCs …
that the global supply chains (GSC) have extremely fragile structures. Hence, the GSCs …
Decision algorithm for picture fuzzy sets and Aczel Alsina aggregation operators based on unknown degree of wights
Aggregation operators (AOs) are well-known and efficient mathematical tools that are
utilized to overcome the impact of imprecise and vague information during the aggregation …
utilized to overcome the impact of imprecise and vague information during the aggregation …
An integrated proximity indexed value and q-rung orthopair fuzzy decision-making model for prioritization of green campus transportation
Global warming and air pollution are two of the most severe problems faced by humanity in
recent years. Greenhouse gas (GHG) emissions caused by vehicles make up for a sizeable …
recent years. Greenhouse gas (GHG) emissions caused by vehicles make up for a sizeable …