Decision‐making analysis based on Fermatean fuzzy Yager aggregation operators with application in COVID‐19 testing facility
This research article is devoted to establish some general aggregation operators, based on
Yager'st‐norm and t‐conorm, to cumulate the Fermatean fuzzy data in decision‐making …
Yager'st‐norm and t‐conorm, to cumulate the Fermatean fuzzy data in decision‐making …
Risk evaluation in failure modes and effects analysis: hybrid TOPSIS and ELECTRE I solutions with Pythagorean fuzzy information
M Akram, A Luqman, JCR Alcantud - Neural Computing and Applications, 2021 - Springer
This article proposes two novel modified techniques, namely Pythagorean fuzzy hybrid
Order of Preference by Similarity to an Ideal Solution (PFH-TOPSIS) method and …
Order of Preference by Similarity to an Ideal Solution (PFH-TOPSIS) method and …
[HTML][HTML] Attribute reduction and information granulation in Pythagorean fuzzy formal contexts
Pythagorean fuzzy set theory is one of the significant tools to deal with real-life problems
which are prone to imprecision, partial truth or uncertainty. A Pythagorean fuzzy set reports …
which are prone to imprecision, partial truth or uncertainty. A Pythagorean fuzzy set reports …
Digraph and matrix approach for risk evaluations under Pythagorean fuzzy information
A Luqman, M Akram, JCR Alcantud - Expert Systems with Applications, 2021 - Elsevier
Abstract Failure Mode and Effects Analysis (FMEA) is an effective framework that is
extensively utilized to determine and eradicate the possible failures from substances …
extensively utilized to determine and eradicate the possible failures from substances …
Group decision-making framework under linguistic q-rung orthopair fuzzy Einstein models
The q-rung orthopair fuzzy sets dynamically change the range of indication of decision
knowledge by adjusting a parameter q from decision makers, where q ≥ 1 q≥ 1, and …
knowledge by adjusting a parameter q from decision makers, where q ≥ 1 q≥ 1, and …
Rough Pythagorean fuzzy approximations with neighborhood systems and information granulation
M Akram, HS Nawaz, C Kahraman - Expert Systems with Applications, 2023 - Elsevier
A rough set approximates a subset of a universal set on the basis of some binary relation
and is significant for the reduction of attributes of an information system. On the other hand, a …
and is significant for the reduction of attributes of an information system. On the other hand, a …
Hesitant Pythagorean fuzzy ELECTRE-II method for multi-criteria decision-making problems
M Akram, A Luqman, C Kahraman - Applied Soft Computing, 2021 - Elsevier
Hesitant Pythagorean fuzzy sets have remarkable theoretical and practical features, which
derive from their role as a generalization of Pythagorean fuzzy sets that embeds the benefits …
derive from their role as a generalization of Pythagorean fuzzy sets that embeds the benefits …
A new decision-making model using complex intuitionistic fuzzy Hamacher aggregation operators
Aggregation operators are the standard mathematical tool for the combination of several
inputs into one unique output. This paper presents some aggregation operators for complex …
inputs into one unique output. This paper presents some aggregation operators for complex …
An integrated rough ELECTRE II approach for risk evaluation and effects analysis in automatic manufacturing process
Smart manufacturing is an essential part of fourth industrial revolution in which robotic
machines can control and perceive automatically to provide effectiveness and convenience …
machines can control and perceive automatically to provide effectiveness and convenience …
Bipolar fuzzy soft information applied to hypergraphs
Soft set theory is the most developed tool for demonstrating uncertain, vague, not clearly
defined objects in a parametric manner. Bipolar uncertainty incorporates a significant role in …
defined objects in a parametric manner. Bipolar uncertainty incorporates a significant role in …