Prem Kumar Singh

Orcid: 0000-0003-1465-6572

According to our database1, Prem Kumar Singh authored at least 32 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
R-attributes based rough graph concepts lattice.
J. Ambient Intell. Humaniz. Comput., October, 2023

Uncertainty analysis in document publications using single-valued neutrosophic set and collaborative entropy.
Artif. Intell. Rev., March, 2023

2022
Bipolar fuzzy concepts reduction using granular-based weighted entropy.
Soft Comput., 2022

t-index: entropy based random document and citation analysis using average h-index.
Scientometrics, 2022

Bipolar fuzzy attribute implications.
Quantum Mach. Intell., 2022

Crisply Generated Complex Fuzzy Concepts Analysis Using Shannon Entropy.
Neural Process. Lett., 2022

Cubic graph representation of concept lattice and its decomposition.
Evol. Syst., 2022

2020
Bipolar $$\delta$$δ-equal complex fuzzy concept lattice with its application.
Neural Comput. Appl., 2020

2019
Bipolar fuzzy concept learning using next neighbor and Euclidean distance.
Soft Comput., 2019

Granular-based decomposition of complex fuzzy context and its analysis.
Prog. Artif. Intell., 2019

Complex Fuzzy Concept Lattice.
Neural Process. Lett., 2019

Vague concept lattice reduction using granular computing and vague entropy.
Math. Comput. Simul., 2019

Multi-Granulation-Based Graphical Analytics of Three-Way Bipolar Neutrosophic Contexts.
Cogn. Comput., 2019

Single-valued neutrosophic context analysis at distinct multi-granulation.
Comput. Appl. Math., 2019

Scopus-based Comparative Analysis of Computer Science Research in India and USA.
Proceedings of the 10th International Conference on Computing, 2019

2018
Concept Learning Using Vague Concept Lattice.
Neural Process. Lett., 2018

Three-way <i>n</i>-valued neutrosophic concept lattice at different granulation.
Int. J. Mach. Learn. Cybern., 2018

m-polar fuzzy graph representation of concept lattice.
Eng. Appl. Artif. Intell., 2018

Cloud data processing using granular based weighted concept lattice and Hamming distance.
Computing, 2018

Similar Vague Concepts Selection Using Their Euclidean Distance at Different Granulation.
Cogn. Comput., 2018

Multidimensional Crime Dataset Analysis.
Proceedings of the Intelligent Systems Design and Applications, 2018

2017
Concepts reduction in formal concept analysis with fuzzy setting using Shannon entropy.
Int. J. Mach. Learn. Cybern., 2017

Three-way fuzzy concept lattice representation using neutrosophic set.
Int. J. Mach. Learn. Cybern., 2017

2016
Knowledge representation using interval-valued fuzzy formal concept lattice.
Soft Comput., 2016

Analysis of composed fuzzy contexts through projection.
Int. J. Data Anal. Tech. Strateg., 2016

A comprehensive survey on formal concept analysis, its research trends and applications.
Int. J. Appl. Math. Comput. Sci., 2016

2015
A Note on Computing the Crisp Order Context of a Fuzzy Formal Context for Knowledge Reduction.
J. Inf. Process. Syst., 2015

Fuzzy concept lattice reduction using Shannon entropy and Huffman coding.
J. Appl. Non Class. Logics, 2015

2014
Bipolar fuzzy graph representation of concept lattice.
Inf. Sci., 2014

A note on bipolar fuzzy graph representation of concept lattice.
Int. J. Comput. Sci. Math., 2014

2013
A Note on Constructing Fuzzy Homomorphism Map for a Given Fuzzy Formal Context.
Proceedings of the Third International Conference on Soft Computing for Problem Solving, 2013

2012
Interval-valued fuzzy graph representation of concept lattice.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012


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