Analysis and application of Aczel-Alsina aggregation operators based on bipolar complex fuzzy information in multiple attribute decision making
Bipolar complex fuzzy information is a new idea that can easily depict awkward and vague
information in real life problems. The main theory of the bipolar complex fuzzy set is the …
information in real life problems. The main theory of the bipolar complex fuzzy set is the …
Extended MULTIMOORA method based on 2-tuple linguistic Pythagorean fuzzy sets for multi-attribute group decision-making
Multi-attribute group decision-making (MAGDM) can be considered as the most significant
branch in decision sciences and the multi-objective optimization ratio analysis plus full …
branch in decision sciences and the multi-objective optimization ratio analysis plus full …
Assessment of Hydropower Plants in Pakistan: Muirhead Mean-Based 2-Tuple Linguistic T-spherical Fuzzy Model Combining SWARA with COPRAS
In the study of group decision-making, the most important issue is how to coordinate
opinions from different decision experts (DEs) to reach a consensus under uncertainty. To …
opinions from different decision experts (DEs) to reach a consensus under uncertainty. To …
Complex q-rung orthopair fuzzy 2-tuple linguistic group decision-making framework with Muirhead mean operators
In this study, we aim to develop a method for solving multi-attribute group decision-making
(MAGDM) problems with complex q-rung orthopair fuzzy 2-tuple linguistic sets. First, a …
(MAGDM) problems with complex q-rung orthopair fuzzy 2-tuple linguistic sets. First, a …
A new approach to sentiment analysis algorithms: extended SWARA-MABAC method with 2-tuple linguistic q-rung orthopair fuzzy information
S Naz, A Shafiq, SA Butt, R Ijaz - Engineering Applications of Artificial …, 2023 - Elsevier
Sentiment analysis is a process of computationally identifying and categorizing opinions
expressed in a piece of text. It employs several algorithms including Bayesian, support …
expressed in a piece of text. It employs several algorithms including Bayesian, support …
Group decision-making based on 2-tuple linguistic T-spherical fuzzy COPRAS method
Data mining is a thoroughly advanced method that evaluates and makes more sense of a
variety in electronic commerce (e-commerce)-related knowledge, discovering useful ideas …
variety in electronic commerce (e-commerce)-related knowledge, discovering useful ideas …
Identification and classification of aggregation operators using bipolar complex fuzzy settings and their application in decision support systems
The idea of bipolar complex fuzzy (BCF) sets, as a genuine modification of both bipolar fuzzy
sets and complex fuzzy sets, gives a massive valuable framework for representing and …
sets and complex fuzzy sets, gives a massive valuable framework for representing and …
[PDF][PDF] Extended CODAS method for MAGDM with 2-tuple linguistic T-spherical fuzzy sets
In the literature, extensions of common fuzzy sets have been proposed one after another.
The recent addition is spherical fuzzy sets theory, which is based on three independent …
The recent addition is spherical fuzzy sets theory, which is based on three independent …
Identification and prioritization of DevOps success factors using bipolar complex fuzzy setting with Frank aggregation operators and analytical hierarchy process
DevOps (“development and operations”) is a dominant and collaborative organizational
effort to computerize simultaneously the supply of a software strategy with a theme to …
effort to computerize simultaneously the supply of a software strategy with a theme to …
[Retracted] Modified EDAS Method for MAGDM Based on MSM Operators with 2‐Tuple Linguistic T‐Spherical Fuzzy Sets
The coronavirus (COVID‐19) pandemic, which began in China and is fast spreading around
the world, has increased the number of cases and deaths. Governments have suffered …
the world, has increased the number of cases and deaths. Governments have suffered …