A Singh, S Kumar - Granular Computing, 2023 - Springer
Entropy is regarded as a numerical representation of the degree of uncertainty concerning a random variable. However, the knowledge associated with any fuzzy set is quantified by a …
The medical industry has employed a variety of decision-making methods to help medical professionals. The use of fuzzy techniques is necessitated by the fact that medical data is …
Real-world decision-making challenges tend to evolve into more intricate scenarios over time. In this context, the Fermatean fuzzy set emerges as an efficient and convenient …
Z Shu, RAC González, JP García-Miguel… - Expert Systems with …, 2023 - Elsevier
With the growth of online tourism, it is important to analyze the reviews left by numerous customers on social networks to improve the hotel's online reputation. Hotel segmentation …
Practical group decision-making (DM) problems frequently involve challenging circumstances when attempting to assign appropriate values to the data because of the …
A complex picture fuzzy set (Com-PFS) is a motivating tool for more precisely interpreting fuzzy notions. Recently, all extensions of complex fuzzy graphs (Com-FGs) have become a …
Y Kou, J Wang, W Xu, Y Xu - Expert Systems, 2023 - Wiley Online Library
This paper aims to propose a novel multi‐attribute group decision‐making (MAGDM) method based on linguistic Pythagorean fuzzy copula extended power average operator …
R Verma, N Singla, RR Yager - Soft Computing, 2023 - Springer
Over the past few years, there has been an increasing demand for enhanced and efficient tools capable of managing ambiguous and uncertain data. An example of such a tool is the …
The theory of Pythagorean fuzzy set (PFS) allows the sum of membership and non- membership degrees of an element to exceed one but the sum of their squares is less than …