New Normal Parameter Reduction Method in Fuzzy Soft Set Theory
Soft set theory is a good tool to deal with uncertain problems. The study of reduction problem is an important part of soft set theory. Different decision-making criteria lead to different reduction methods.
Zhi Kong +5 more
doaj +2 more sources
PolyTree-Soft Sets and PolyForest-Soft Sets: A Directed Acyclic Framework for Soft Set Modeling
Various mathematical frameworks have been developed to handle uncertainty, including the concepts of Fuzzy Sets and Neutrosophic Sets. Among these, Soft Sets provide a powerful and flexible approach to decision-making by mapping parameters to subsets of ...
Takaaki Fujita
semanticscholar +2 more sources
A new kind of fuzzy n-ary hypergroups in the framework of soft set theory. [PDF]
Li H, Yin Y.
europepmc +3 more sources
Fuzzy Hypersoft Expert Set with Application in Decision Making for the Best Selection of Product [PDF]
Numerous researchers have made a few models dependent on soft set, to tackle issues in decision making and clinical analysis, yet a large portion of these models manage one expert.
Muhammad Ihsan +2 more
doaj +1 more source
Aggregate Operators of Neutrosophic Hypersoft Set [PDF]
Multi-criteria decision making (MCDM) is concerned about organizing and taking care of choice and planning issues including multi-criteria. When attributes are more than one, and further bifurcated, neutrosophic softset environment cannot be used to ...
Muhammad Saqlain +4 more
doaj +1 more source
A generalized effective neurosophic soft set and its applications
We introduce the concept of an effective neutrosophic soft set, which aims to capture the influence on three independent membership functions representing degrees of truth (T), indeterminacy (I) and falsity (F).
Sumyyah Al-Hijjawi +2 more
doaj +1 more source
A NEW SOFT SET OPERATION: COMPLEMENTARY SOFT BINARY PIECEWISE UNION (∪) OPERATION
Molodtsov’s soft set theory has been used in various disciplines both theoretically and practically. It is an effective mathematical tool for dealing with uncertainty. Since its debut, numerous types of soft set operations have been presented and applied.
A. Sezgi̇n +2 more
semanticscholar +1 more source
Interval Valued, m-Polar and m-Polar Interval Valued Neutrosophic Hypersoft Sets [PDF]
Decision making is a complex issue due to vague, imprecise and indeterminate environment specially, when attributes are more than one, and further bifurcated.
Muhammad Saqlain, Xiao Long Xin
doaj +1 more source
A NEW SOFT SET OPERATION: COMPLEMENTARY SOFT BINARY PIECEWISE GAMMA(𝜸) OPERATION
Soft set theory, introduced by Molodtsov, is as an efficacious mathematical tool to deal with uncertainty and it has been applied to many fields both as theoretical and application aspect.
A. Sezgi̇n, Fitnat Nur Aybek
semanticscholar +1 more source
A New Soft Set Operation: Complementary Soft Binary Piecewise Star (*) Operation
Soft set theory, introduced by Molodtsov, is as an important mathematical tool to deal with uncertainty and it has been conveyed to many fields both as theoretical and application aspect.
A. Sezgi̇n, Ahmet Mücahit Demirci
semanticscholar +1 more source

