[HTML][HTML] A survey on opinion summarization techniques for social media
The volume of data on the social media is huge and even keeps increasing. The need for
efficient processing of this extensive information resulted in increasing research interest in …
efficient processing of this extensive information resulted in increasing research interest in …
An interval type-2 fuzzy TOPSIS model for large scale group decision making problems with social network information
Large scale group decision making (LGDM) problems and social network analysis (SNA)
methods are both attracting increasing attention, and SNA methods are useful for …
methods are both attracting increasing attention, and SNA methods are useful for …
Multi-criteria decision making approach based on SVTrN Dombi aggregation functions
The neutrosophic set is constructed for modelling of situations specifically with incomplete,
indeterminate and inconsistent information. In the study, Dombi operations have been …
indeterminate and inconsistent information. In the study, Dombi operations have been …
Metaheuristic search based feature selection methods for classification of cancer
L Meenachi, S Ramakrishnan - Pattern Recognition, 2021 - Elsevier
Cancer is a cluster of diseases caused due to unusual cell growth. This paper aims to
discover cancer prediction from the microarray gene expression data using the selected …
discover cancer prediction from the microarray gene expression data using the selected …
Identification of fresh-chilled and frozen-thawed chicken meat and estimation of their shelf life using an E-nose machine coupled fuzzy KNN
In this study, the capability of an electronic nose machine to identify chilled and frozen-
thawed chicken meat was investigated. According to the importance of fresh chicken meat …
thawed chicken meat was investigated. According to the importance of fresh chicken meat …
[HTML][HTML] Preference similarity network structural equivalence clustering based consensus group decision making model
Social network analysis (SNA) methods have been developed to analyse social structures
and patterns of network relationships, although they have been least explored and/or …
and patterns of network relationships, although they have been least explored and/or …
Multi-criteria group decision-making method based on interdependent inputs of single-valued trapezoidal neutrosophic information
R Liang, J Wang, L Li - Neural Computing and Applications, 2018 - Springer
Single-valued trapezoidal neutrosophic numbers (SVTNNs) are very useful tools for
describing complex information, because they are able to maintain the completeness of the …
describing complex information, because they are able to maintain the completeness of the …
NS-k-NN: Neutrosophic Set-Based k-Nearest Neighbors Classifier
k-nearest neighbors (k-NN), which is known to be a simple and efficient approach, is a non-
parametric supervised classifier. It aims to determine the class label of an unknown sample …
parametric supervised classifier. It aims to determine the class label of an unknown sample …
Dimensionality reduction in data mining: A Copula approach
The recent trends in collecting huge and diverse datasets have created a great challenge in
data analysis. One of the characteristics of these gigantic datasets is that they often have …
data analysis. One of the characteristics of these gigantic datasets is that they often have …
[HTML][HTML] A fuzzy KNN-based model for significant wave height prediction in large lakes
Some algorithms based on fuzzy set theory (FST) such as fuzzy inference system (FIS) and
adaptive-network-based fuzzy inference system (ANFIS) have been successfully applied to …
adaptive-network-based fuzzy inference system (ANFIS) have been successfully applied to …