Author

Khuman SA

Institute of Artificial Intelligence - Cited by 149 - Artificial Intelligence - Computational Intelligence - Uncertainty Modelling - Fuzzy Logic - Grey Systems

Biography

Dr Archie Khuman currently working as a Professor in senior academic-Insititute of Artificial Intelligence, De Montfort University, Leicester, UK. His areas of interest in research includes as in Artificial Intelligence; Computational Intelligence; Machine Learning, Fuzzy Logic; Grey Theory and Rough Sets. His areas of teaching includes in the field of Fuzzy Logic and Knowledge Based Systems, Artificial Intelligence and Simulation and in Applied Computational Modelling.
Title
Cited by
Year
A commentary on some of the intrinsic differences between grey systems and fuzzy systems
AS Khuman, Y Yang, R John14 IEEE international conference on Systems, Man, and Cybernetics (SMC …, 141
20
2014
Quantification of R-fuzzy sets
AS Khuman, Y Yang, R JohnExpert Systems with Applications 55, 374-387, 2016201
19
2016
A Significance Measure for R-Fuzzy Sets
AS Khuman, Y Yang, R JohnFuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on, 1 - 6, 2015201
16
2015
R-fuzzy sets and grey system theory
AS Khuman, Y Yang, R John, S Liu2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016201
15
2016
Grey relational analysis and natural language processing to: grey language processing
AS Khuman, Y Yang, S LiuThe Journal of Grey System 28 (1), 88-97, 2016201
13
2016
The similarities and divergences between grey and fuzzy theory
AS KhumanExpert Systems with Applications 186, 5812, 2021202
11
2021
Grey relational analysis and natural language processing
AS Khuman, Y Yang, S Liu2015 IEEE international conference on grey systems and intelligent services …, 2015201
11
2015
Pathfinding in partially explored games environments: The application of the A Algorithm with occupancy grids in Unity3D
J Stamford, AS Khuman, J Carter, S Ahmadi2014 14th UK Workshop on Computational Intelligence (UKCI), 1-6, 2014201
8
2014
Fuzzy Logic: Recent Applications and Developments
J Carter, A KhumanSpringer Nature, 2021202
5
2021
A rule based system for diagnosing and treating chronic heart failure
LV Critien, AS Khuman, J Carter, S Ahmadi2014 14th UK Workshop on Computational Intelligence (UKCI), 1-6, 2014201
5
2014
The quantification of perception based uncertainty using R-fuzzy sets and grey analysis
AS KhumanDe Montfort University, 2016201
4
2016
Artificial Intelligence in FPS Games: NPC Difficulty Effects on Gameplay
A Hubble, J Moorin, AS KhumanFuzzy Logic: Recent Applications and Developments, 165-190, 2021202
4
2021
A new approach to improve the overall accuracy and the filter value accuracy of the GM (1, 1) new-information and GM (1, 1) metabolic models
AS Khuman, Y Yang, R JohnSystems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on …, 2013201
4
2013
The quantification of subjectivity: The R-fuzzy grey analysis framework
AS Khuman, Y Yang, R JohnExpert Systems with Applications 16, 201-216, 2019201
3
2019
Spatio-Temporal Patterns act as Computational Mechanisms governing Emergent Behaviour in Robotic Swarms
K Terry Jack, M.D.A., Khuman, S.A. and OwaInternational Journal of Swarm Intelligence and Evolutionary Computation 8 (1), 01901
2
2019
Fostering inclusivity through dynamic teaching practices
AS KhumanHigher Education Computer Science: A Manual of Practical Approaches, 47-60, 20820
1
2018
Fuzzy Logic
J Carter, F Chiclana, AS Khuman, T ChenSpringer International Publishing 0, 978-3, 20220
1
2021
The application of fuzzy logic in determining outcomes of esports events
S Deane, AS KhumanFuzzy Logic: Recent Applications and Developments, 235-252, 20220
1
2021
Adaptive Cruise Control Using Fuzzy Logic
N Lloyd, AS KhumanFuzzy Logic: Recent Applications and Developments, 9-29, 20220
1
2021

Referred From: https://scholar.google.co.uk/citations?user=jxIXuIYAAAAJ&hl=en

Cited by
Citations 149
h-index 8
i10-index 7
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