Research on the natural language recognition method based on cluster analysis using neural network
Withthe technological advent, the clustering phenomenon is recently being used in various
domains and in natural language recognition. This article contributes to the clustering …
domains and in natural language recognition. This article contributes to the clustering …
Location selection of electric vehicles charging stations by using the spherical fuzzy CPT–CoCoSo and D-CRITIC method
H Zhang, G Wei - Computational and Applied Mathematics, 2023 - Springer
Location selection of electric vehicle charging stations (LSEVCS) is a complex multi-attribute
group decision-making (MAGDM) problem involving multiple experts and multiple conflicting …
group decision-making (MAGDM) problem involving multiple experts and multiple conflicting …
Comprehensive evaluation of rural regional integrated clean energy systems considering multi-subject interest coordination with pythagorean fuzzy information
In the development of a comprehensive clean energy system in rural areas, how to evaluate
it scientifically and effectively is an urgent problem to be solved. Artificial intelligence has …
it scientifically and effectively is an urgent problem to be solved. Artificial intelligence has …
Gamification and machine learning inspired approach for classroom engagement and learning
Technology has enhanced the scope and span of the teaching and learning process but
somehow it could not enhance the self‐motivation and engagement among the students to …
somehow it could not enhance the self‐motivation and engagement among the students to …
Another view of complex intuitionistic fuzzy soft sets based on prioritized aggregation operators and their applications to multiattribute decision making
In a conventional interpretation of decision-making based on ambiguity, a decision-maker
must prefer the best possible opportunity including various feasible possibilities. However …
must prefer the best possible opportunity including various feasible possibilities. However …
Interval complex single-valued neutrosophic hypersoft set with Application in Decision Making
The interval complex single-valued neutrosophic hypersoft set (%-set), together with its
features and set-theoretic operations, is a new mathematical structure that is discussed in …
features and set-theoretic operations, is a new mathematical structure that is discussed in …
Multi-valued picture fuzzy soft sets and their applications in group decision-making problems
Soft set theory initiated by Molodtsov in 1999 has been emerging as a generic mathematical
tool for dealing with uncertainty. A noticeable progress is found concerning the practical use …
tool for dealing with uncertainty. A noticeable progress is found concerning the practical use …
Group decision-making using complex q-rung orthopair fuzzy Bonferroni mean
Complex q-rung orthopair fuzzy set (CQROFS), as a modified notion of complex fuzzy set
(CFS), is an important tool to cope with awkward and complicated information. CQROFS …
(CFS), is an important tool to cope with awkward and complicated information. CQROFS …
Aggregation operators and VIKOR method based on complex q-rung orthopair uncertain linguistic informations and their applications in multi-attribute decision …
Complex q-rung orthopair uncertain linguistic set (CQROULS) is a combination of complex q-
rung orthopair fuzzy set (CQROFS) and uncertain linguistic variable set (ULVS) as a …
rung orthopair fuzzy set (CQROFS) and uncertain linguistic variable set (ULVS) as a …
Jaccard and dice similarity measures based on novel complex dual hesitant fuzzy sets and their applications
Complex dual hesitant fuzzy set (CDHFS) is a combination of two modifications, called
complex fuzzy set (CFS) and dual hesitant fuzzy set (DHFS). CDHFS makes two degrees …
complex fuzzy set (CFS) and dual hesitant fuzzy set (DHFS). CDHFS makes two degrees …