Results 41 to 50 of about 4,556 (206)

Pythagorean fuzzy linguistic Muirhead mean operators and their applications to multi-attribute decision-making [PDF]

, 2019
Pythagorean fuzzy sets, as an extension of intuitionisticfuzzy sets to deal with uncertainty, have attracted muchattention since their introduction, in both theory andapplication aspects.
Liu C, Liu P, Merig JM, Muirhead RF, Peng X, Wang JQ, Zeng S, Zhang H   +7 more
core   +2 more sources

A Potential Foundation for Emergent Space-Time [PDF]

, 2014
We present a novel derivation of both the Minkowski metric and Lorentz transformations from the consistent quantification of a causally ordered set of events with respect to an embedded observer.
Aczél J., Birkhoff G., Bondi H., Ehlers J., Feynman R. P., Kevin H. Knuth, Minkowski H., Newshaw Bahreyni, Robb A. A., Sorkin R. D.   +9 more
core   +3 more sources

A new approach to fuzzy group theoryusing (??, ??) -Pythagorean fuzzy sets

Songklanakarin Journal of Science and Technology (SJST), 2021
Songklanakarin Journal of Science and Technology (SJST), 43, 1, 295 ...
Supriya Bhunia, Ganesh Ghorai
openaire   +2 more sources

Pythagorean fuzzy sublattices and ideals [PDF]

Journal of Fuzzy Extension and Applications
This research delves into the exploration of Pythagorean fuzzy sublattices and Pythagorean fuzzy ideals within the context of lattice theory. Through a rigorous analysis of structural theorems concerning these concepts derived from Pythagorean fuzzy sets,
Idris Bakhadach, Meryem Fakhraoui, Sofyane Achik, Said Melliani   +3 more
doaj   +1 more source

Attribute Reduction Methods Based on Pythagorean Fuzzy Covering Information Systems

IEEE Access, 2020
By introducing covering rough sets to Pythagorean fuzzy environment, we construct a new rough set model called the Pythagorean fuzzy λ-covering rough set.
Chen Yan, Haidong Zhang
doaj   +1 more source

Einstein Ordered Weighted Aggregation Operators for Pythagorean Fuzzy Hypersoft Set With Its Application to Solve MCDM Problem

IEEE Access, 2022
The Pythagorean fuzzy hypersoft set is the most generalized form of the Pythagorean fuzzy soft set used to resolve indeterminate and inexplicit information in the decision-making procedure, considering the parameters’ multi-sub-attributes ...
Rana Muhammad Zulqarnain, Imran Siddique, Rifaqat Ali, Jan Awrejcewicz, Hanen Karamti, Dariusz Grzelczyk, Aiyared Iampan, Muhammad Asif   +7 more
doaj   +1 more source

Theory of Systems, Systems Metaphysics and Neoplatonism [PDF]

, 2015
Science has been developed from the rational-empirical methods, having as a consequence, the representation of existing phenomena without understanding the root causes.
Nescolarde-Selva, Josué Antonio, Sabán, Mario Javier, Usó i Domènech, Josep Lluís   +2 more
core   +2 more sources

Rough cubic Pythagorean fuzzy sets in semigroup

, 2022
12 ...
Chinnadurai, Veerappan, Arulselvam, A.
openaire   +3 more sources

Averaging aggregation functions for preferences expressed as Pythagorean membership grades and fuzzy orthopairs

, 2014
Rather than denoting fuzzy membership with a single value, orthopairs such as Atanassov\u27s intuitionistic membership and non-membership pairs allow the incorporation of uncertainty, as well as positive and negative aspects when providing evaluations in
Beliakov,G, James,S
core   +1 more source

Decision-Making Approach under Pythagorean Fuzzy Yager Weighted Operators

Mathematics, 2020
In fuzzy set theory, t-norms and t-conorms are fundamental binary operators. Yager proposed respective parametric families of both t-norms and t-conorms. In this paper, we apply these operators for the analysis of Pythagorean fuzzy sets. For this purpose,
Gulfam Shahzadi, Muhammad Akram, Ahmad N. Al-Kenani   +2 more
doaj   +1 more source