[PDF][PDF] A novel entropy measure of Pythagorean fuzzy soft sets
A novel entropy measure of Pythagorean fuzzy soft sets Page 1 http://www.aimspress.com/journal/Math
AIMS Mathematics, 5(2): 1050–1061. DOI:10.3934/math.2020073 Received: 16 October …
AIMS Mathematics, 5(2): 1050–1061. DOI:10.3934/math.2020073 Received: 16 October …
Generalized and group-based generalized intuitionistic fuzzy soft sets with applications in decision-making
Intuitionistic fuzzy soft set (IFSS) theory acts as a fundamental tool for handling the
uncertainty in the data by adding a parameterizing factor during the process as compared to …
uncertainty in the data by adding a parameterizing factor during the process as compared to …
[HTML][HTML] An integrated ELECTRE method for selection of rehabilitation center with m-polar fuzzy N-soft information
M Akram, M Sultan, JCR Alcantud - Artificial Intelligence in Medicine, 2023 - Elsevier
The primary goal of this research article is to apply ELECTRE I, a fundamental multi-criteria
group decision-making technique, in an m-polar fuzzy N-soft environment. This new …
group decision-making technique, in an m-polar fuzzy N-soft environment. This new …
Generalized intuitionistic fuzzy soft power aggregation operator based on t‐norm and their application in multicriteria decision‐making
The aim of this paper is to develop some new power aggregation operators for intuitionistic
fuzzy (IF) soft numbers. The aggregation operators are named as IF soft power averaging …
fuzzy (IF) soft numbers. The aggregation operators are named as IF soft power averaging …
Bonferroni mean aggregation operators under intuitionistic fuzzy soft set environment and their applications to decision-making
Intuitionistic fuzzy soft set (IFSS) theory is one of the successful extensions of soft set theory
for handling the uncertainty in the data by introducing the parametrisation factor during the …
for handling the uncertainty in the data by introducing the parametrisation factor during the …
[图书][B] Operations on single-valued neutrosophic graphs
M Akram, G Shahzadi - 2017 - books.google.com
The concept of neutrosophic sets can be utilized as a mathematical tool to deal with
imprecise and unspecified information. In this paper, we apply the concept of single-valued …
imprecise and unspecified information. In this paper, we apply the concept of single-valued …
Generalized Maclaurin symmetric mean aggregation operators based on Archimedean t-norm of the intuitionistic fuzzy soft set information
Intuitionistic fuzzy soft set (IFSS) accommodates more uncertainties within the information by
considering the parameterization feature than the intuitionistic fuzzy sets and hence its …
considering the parameterization feature than the intuitionistic fuzzy sets and hence its …
A nonlinear-programming methodology for multi-attribute decision-making problem with interval-valued intuitionistic fuzzy soft sets information
Interval-valued intuitionistic fuzzy (IVIF) soft set is one of the useful extensions of the fuzzy
soft set which efficiently deals with the uncertain data for the decision-making processes. In …
soft set which efficiently deals with the uncertain data for the decision-making processes. In …
Novel scaled prioritized intuitionistic fuzzy soft interaction averaging aggregation operators and their application to multi criteria decision making
Intuitionistic fuzzy soft set (IFSS) theory is one of the successful extension of the soft set
theory to deal the uncertainty by introducing the parametrization factor during the analysis …
theory to deal the uncertainty by introducing the parametrization factor during the analysis …
An extended Pythagorean fuzzy VIKOR method with risk preference and a novel generalized distance measure for multicriteria decision-making problems
F Zhou, TY Chen - Neural Computing and Applications, 2021 - Springer
This study aims to extend classic VIKOR technique for multicriteria decision-making (MCDM)
problems within Pythagorean fuzzy (PF) scenario. First, judgments from decision makers …
problems within Pythagorean fuzzy (PF) scenario. First, judgments from decision makers …