[HTML][HTML] Inventive problem-solving map of innovative carbon emission strategies for solar energy-based transportation investment projects
The transportation sector is also of great importance in terms of carbon emission problem.
Significant amount of carbon dioxide is emitted into the atmosphere due to the use of fossil …
Significant amount of carbon dioxide is emitted into the atmosphere due to the use of fossil …
A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis
I Priyadarshini, C Cotton - The Journal of Supercomputing, 2021 - Springer
As the number of users getting acquainted with the Internet is escalating rapidly, there is
more user-generated content on the web. Comprehending hidden opinions, sentiments, and …
more user-generated content on the web. Comprehending hidden opinions, sentiments, and …
Fuzzy logic based smart irrigation system using internet of things
Traditional agricultural systems require huge amount of power for field watering. This paper
proposes a smart irrigation system that helps farmers water their agricultural fields using …
proposes a smart irrigation system that helps farmers water their agricultural fields using …
[HTML][HTML] Based on T-spherical fuzzy environment: a combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients
The problem complexity of multi-criteria decision-making (MCDM) has been raised in the
distribution of coronavirus disease 2019 (COVID-19) vaccines, which required solid and …
distribution of coronavirus disease 2019 (COVID-19) vaccines, which required solid and …
Evaluation of the performance of search and rescue robots using T-spherical fuzzy Hamacher aggregation operators
Multi-attribute decision-making approach is a widely used algorithm that needs some
aggregation tools and several such aggregation operators have been developed in past …
aggregation tools and several such aggregation operators have been developed in past …
T-spherical fuzzy Einstein hybrid aggregation operators and their applications in multi-attribute decision making problems
T-spherical fuzzy set is a recently developed model that copes with imprecise and uncertain
events of real-life with the help of four functions having no restrictions. This article's aim is to …
events of real-life with the help of four functions having no restrictions. This article's aim is to …
T-spherical fuzzy Frank aggregation operators and their application to decision making with unknown weight information
The current study presents a novel multi-criteria decision making (MCDM) approach to
address decision analysis with T-spherical fuzzy data, whose weights of criteria are fully …
address decision analysis with T-spherical fuzzy data, whose weights of criteria are fully …
Multi-attribute group decision making based on T-spherical fuzzy soft rough average aggregation operators
This research article aims at establishing the foundations of generalized hybrid frameworks
for dealing with uncertainties in knowledge-based systems. First, by combining the notions …
for dealing with uncertainties in knowledge-based systems. First, by combining the notions …
A state-of-the-art survey on spherical fuzzy sets
In addition to the well-known fuzzy sets, a novel type of fuzzy set called spherical fuzzy set
(SFS) is recently introduced in the literature. SFS is the generalized structure over existing …
(SFS) is recently introduced in the literature. SFS is the generalized structure over existing …
Divergence measure of T-spherical fuzzy sets and its applications in pattern recognition
MQ Wu, TY Chen, JP Fan - IEEE Access, 2019 - ieeexplore.ieee.org
In this manuscript, spherical fuzzy set (SFS) and T-spherical fuzzy set (TSFS) are discussed,
which are two generalizations of fuzzy set (FS), intuitionistic fuzzy set (IFS), Pythagorean …
which are two generalizations of fuzzy set (FS), intuitionistic fuzzy set (IFS), Pythagorean …