Biography
I completed my PhD on The use of aggregation functions in decision making under the supervision of Dr. Gleb Beliakov at Deakin University in 2010. Since then I have held a Lecturing position in the School of Information Technology.
Before undertaking my PhD, I had completed a double degree in education and arts and so I have maintained a strong focus on reflective teaching practices. I was recognised with the Deakin University Award for Excellence in Teaching in 2013.
My research interests to date have included aggregation functions, fuzzy measures and fuzzy sets, group decision making and consensus, as well as inequality indices such as those used in ecology and economics.
Read more on Simon's profileResearch interests
Aggregation functions and applications to data analysis
Fuzzy measures and integrals
Affiliations
Australian Mathematical Society (AUSTMS) Member
Teaching interests
Mathematics
Units taught
2024
SIT176 Mathematical Reasoning and Investigation
SIT292 Linear Algebra for Data Analysis
2023
SIT176 Mathematical Reasoning and Investigation
SIT106 Fundamental Concepts of Mathematics
SIT192 Discrete Mathematics
Professional activities
Associate Editor for IEEE Transactions on Fuzzy Systems (2015-2023)
Research groups
Mathematics Research Lab
https://blogs.deakin.edu.au/maths
Awards
AAUT Citation for Outstanding Contribution to Student Learning 2022
Deakin VC Jim and Alison Leslie Award for Outstanding Achievement in Teaching and Learning 2021
SEBE Faculty Teaching & Learning Award 2019
Deakin VC Award for Teaching Excellence 2013
School of IT award for Excellence in Teaching 2013
DVC (Education) Commendation for Excellence in Teaching 2012
School of IT award for Excellence in Research 2012
School of IT award for Excellence in Teaching 2011
Projects
ARC Discovery 2021 - Beyond black-box models: interaction in eXplainable Artificial Intelligence. G. Beliakov, S. James, M. Gagolewski (Deakin) and E. Herrera-Viedma (University of Granada)
Publications
Random generation of linearly constrained fuzzy measures and domain coverage performance evaluation
J Wu, G Beliakov, S James, M Gagolewski
(2024), Vol. 659, pp. 1-15, Information Sciences, Amsterdam, The Netherlands, C1
A neural network based on the inclusion-exclusion integral and its application to data analysis
A Honda, M Itabashi, S James
(2023), Vol. 648, pp. 1-16, Information Sciences, Amsterdam, The Netherlands, C1
M Gagolewski, A Cena, S James, G Beliakov
(2023), Vol. 473, pp. 1-12, Fuzzy Sets and Systems, Amsterdam, The Netherlands, C1
Hierarchical data fusion processes involving the Möbius representation of capacities
G Beliakov, M Gagolewski, S James
(2022), Vol. 433, pp. 1-21, Fuzzy Sets and Systems, C1
Choquet integral-based measures of economic welfare and species diversity
G Beliakov, S James
(2022), Vol. 37, pp. 2849-2867, International Journal of Intelligent Systems, C1
Jason Hong, Numan Kutaiba, Bimal Parameswaran, Simon James, Alton Hong, Suat Ng, Vinna An
(2022), Vol. 92, pp. 1085-1090, ANZ Journal of Surgery, Chichester, Eng., C1
G Beliakov, M Gagolewski, S James
(2022), Vol. 451, pp. 266-284, Fuzzy Sets and Systems, C1
Sarcopenia measurements and clinical outcomes in Crohn's disease surgical patients
J Hong, S James, A Tran, N Kutaiba
(2022), pp. 1-5, ANZ Journal of Surgery, London, Eng., C1
Representation and Interpretability of IE Integral Neural Networks
A Honda, Y Kamata, S James
(2022), Vol. 13408, pp. 168-180, MDAI 2022 : Proceedings of the International Conference on Modeling Decisions for Artificial Intelligence 2022, Sant Cugat, Spain, E1
Assessing mathematics during COVID-19 times
Simon James, Kerri Morgan, Guillermo Pineda Villavicencio, Laura Tubino Larizbeascoa
(2021), pp. 425-442, COVID-19 and education: Learning and teaching in a pandemic-constrained environment, Santa Rosa, Calif., B1
A guide to representing variability and uncertainty in biodiversity indicators
J Rowland, L Bland, S James, E Nicholson
(2021), Vol. 35, pp. 1669-1682, Conservation Biology, United States, C1
Outcomes of Zoledronic Acid Use in Paediatric Conditions
A Lim, P Simm, S James, S Lee, M Zacharin
(2021), Vol. 93, pp. 442-452, Hormone Research in Paediatrics, Switzerland, C1
Cardinality-limiting extended pre-aggregation functions
G Beliakov, S James, A Kolesárová, R Mesiar
(2021), Vol. 76, pp. 66-74, Information Fusion, C1
Choquet integral optimisation with constraints and the buoyancy property for fuzzy measures
Gleb Beliakov, Simon James
(2021), Vol. 578, pp. 22-36, Information Sciences, Amsterdam, The Netherlands, C1
Simon James, Kerri Morgan, Julien Ugon
(2021), Burwood, VIC, Australia, A7
Discrete fuzzy measures: computational aspects: preface
G Beliakov, S James, J Wu
(2020), Cham, Switzerland, A1
Constrained ordered weighted averaging aggregation with multiple comonotone constraints
L Coroianu, R Fullér, M Gagolewski, S James
(2020), Vol. 395, pp. 21-39, Fuzzy Sets and Systems, C1
Parameter learning and applications of the inclusion-exclusion integral for data fusion and analysis
A Honda, S James
(2020), Vol. 56, pp. 28-38, Information Fusion, Amsterdam, The Netherlands, C1
Robust fitting for the Sugeno integral with respect to general fuzzy measures
Gleb Beliakov, Marek Gagolewski, Simon James
(2020), Vol. 514, pp. 449-461, Information sciences, Amsterdam, The Netherlands, C1
DC optimization for constructing discrete Sugeno integrals and learning nonadditive measures
G Beliakov, M Gagolewski, S James
(2020), Vol. 69, pp. 2515-2534, Optimization, C1
Supervised learning to aggregate data with the Sugeno integral
Marek Gagolewski, Simon James, Gleb Beliakov
(2019), Vol. 27, pp. 810-815, IEEE transactions on fuzzy systems, Piscataway, N. J., C1
Aggregation on ordinal scales with the Sugeno integral for biomedical applications
G Beliakov, M Gagolewski, S James
(2019), Vol. 501, pp. 377-387, Information sciences, Amsterdam, The Netherlands, C1
G Beliakov, M Gagolewski, S James, S Pace, N Pastorello, E Thilliez, R Vasa
(2018), Vol. 67, pp. 910-919, Applied soft computing, Amsterdam, The Netherlands, C1
Robustifying OWA operators for aggregating data with outliers
G Beliakov, S James, T Wilkin, T Calvo
(2018), Vol. 26, pp. 1823-1832, IEEE Transactions on Fuzzy Systems, Piscataway, N.J., C1
Identifying items for moderation in a peer assessment framework
S James, E Lanham, V Mak-Hau, L Pan, T Wilkin, G Wood-Bradley
(2018), Vol. 162, pp. 211-219, Knowledge-Based Systems, C1
A Geschke, S James, A Bennett, D Nimmo
(2018), Vol. 55, pp. 2320-2331, Journal of applied ecology, London, Eng., C1
Fitting symmetric fuzzy measures for discrete sugeno integration
M Gągolewski, S James
(2018), Vol. 642, pp. 104-116, EUSFLAT 2017, IWIFSGN 2017 : Proceedings of the 10th Conference of the European Society for Fuzzy Logic and Technology International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, Warsaw, Poland, E1
G Beliakov, M Gagolewski, S James
(2018), Vol. 854, pp. 367-378, IPMU 2018: Proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems : Theory and Foundations, Cadiz, Spain, E1
Aggregation and consensus for preference relations based on fuzzy partial orders
G Beliakov, S James, T Wilkin
(2017), Vol. 16, pp. 409-428, Fuzzy optimization and decision making, Berlin, Germany, C1
Approaches to learning strictly-stable weights for data with missing values
G Beliakov, D Gómez, S James, J Montero, J Rodríguez
(2017), Vol. 325, pp. 97-113, Fuzzy Sets and Systems, C1-1
S Zieck, J George, B Blakeley, L Welsh, S James, S Ranganathan, P Simm, A Lim
(2017), Vol. 53, pp. 771-777, Journal of Paediatrics and Child Health, Australia, C1
N Smith, A Lim, M Yap, L King, S James, A Jones, S Ranganathan, P Simm
(2017), Vol. 52, pp. 1558-1564, Pediatric pulmonology, Chichester, Eng., C1
Online peer marking with aggregation functions
S James, L Pan, T Wilkin, L Yin
(2017), pp. 1-6, FUZZ-IEEE 2017 : IEEE International Conference on Fuzzy Systems, Naples, Italy, E1
Orness and cardinality indices for averaging inclusion-exclusion integrals
A Honda, S James, S Rajasegarar
(2017), Vol. 10571, pp. 51-62, MDAI 2017 : Proceedings of the 14th International Modeling Decisions for Artificial Intelligence Conference, Kitakyushu, Japan, E1
Averaging aggregation functions based on inclusion-exclusion integrals
A Honda, S James
(2017), pp. 1-6, IFSA-SCIS 2017 : Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, Otsu, Japan, E1
Fire and climatic extremes shape mammal distributions in a fire-prone landscape
S Hale, D Nimmo, R Cooke, G Holland, S James, M Stevens, N De Bondi, R Woods, M Castle, K Campbell, K Senior, S Cassidy, R Duffy, B Holmes, J White
(2016), Vol. 22, pp. 1127-1138, Diversity and Distributions, C1
Penalty-Based and Other Representations of Economic Inequality
G Beliakov, M Gagolewski, S James
(2016), Vol. 24, pp. 1-23, International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, C1
Fitting aggregation functions to data: part I-linearization and regularization
M Bartoszuk, G Beliakov, M Gagolewski, S James
(2016), Vol. 611, pp. 767-779, IPMU 2016 : Proceedings of the 16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Eindhoven, The Netherlands, E1
Linear optimization for ecological indices based on aggregation functions
G Beliakov, A Geschke, S James, D Nimmo
(2016), Vol. 611, pp. 411-422, 16th International Conference, IPMU 2016 Eindhoven, The Netherlands, June 20–24, 2016 Proceedings, Part II, Eindhoven, The Netherlands, E1
Fitting aggregation functions to data: Part II - idempotization
M Bartoszuk, G Beliakov, M Gagolewski, S James
(2016), Vol. 611, pp. 780-789, IPMU 2016 : Proceedings of the 16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Eindhoven, The Netherlands, E1
Robust OWA-based aggregation for data with outliers
G Beliakov, S James, T Wilkin, T Calvo
(2016), pp. 1874-1879, FUZZ-IEEE 2016 : Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, Vancouver, Canada, E1
Aggregation functions for recommender systems
G Beliakov, T Calvo, S James
(2015), pp. 777-808, Recommender systems handbook, New York, N.Y., B1
Unifying approaches to consensus across different preference representations
G Beliakov, S James
(2015), Vol. 35, pp. 888-897, Applied soft computing journal, Amsterdam, The Netherlands, C1
Using aggregation functions to model human judgements of species diversity
G Beliakov, S James, D Nimmo
(2015), Vol. 306, pp. 21-33, Information sciences, Amsterdam, The Netherlands, C1
Biased experts and similarity based weights in preferences aggregation
G Beliakov, S James, L Smith, T Wilkin
(2015), Vol. 89, pp. 363-370, EUSFLAT 2015: Proceedings of the 16th World Congress of the International-Fuzzy-Systems-Association (IFSA) / 9th Conference of the European-Society-for-Fuzzy-Logic-and-Technology, Gijon, Spain, E1
Construction and aggregation of preference relations based on fuzzy partial orders
G Beliakov, S James, T Wilkin
(2015), pp. 1-8, FUZZ-IEEE 2015: Proceedings of the IEEE International Conference on Fuzzy Systems, Istanbul, TURKEY, E1
Learning stable weights for data of varying dimension
G Beliakov, S James, D Gomez, J Rodriguez, J Montero
(2015), pp. 49-54, AGOP 2015: Proceeedings of the Aggregation Operators 2015 International Summer School, Katowice, Poland, E1
Single-preference consensus measures based on models of ecological evenness
G Beliakov, S James, L Smith
(2014), Vol. 8825, pp. 50-59, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Heidelberg , Germany, B1
H Bustince, E Barrenechea, T Calvo, S James, G Beliakov
(2014), Vol. 17, pp. 56-64, Information fusion, Amsterdam, Netherlands, C1
Consensus measures constructed from aggregation functions and fuzzy implications
G Beliakov, T Calvo, S James
(2014), Vol. 55, pp. 1-8, Knowledge-based systems, Amsterdam, The Netherlands, C1
A penalty-based aggregation operator for non-convex intervals
G Beliakov, S James
(2014), Vol. 70, pp. 335-344, Knowledge-based systems, Amsterdam, The Netherlands, C1
Can indices of ecological evenness be used to measure consensus?
G Beliakov, S James, D Nimmo
(2014), pp. 25-32, FUZZ-IEEE 2014 : Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, Beijing, China, E1
G Beliakov, S James
(2014), pp. 298-305, FUZZ-IEEE 2014 : Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, Beijing; China, E1
On extending generalized Bonferroni means to Atanassov orthopairs in decision making contexts
G Beliakov, S James
(2013), Vol. 211, pp. 84-98, Fuzzy sets and systems, Amsterdam, The Netherlands, C1
Stability of weighted penalty-based aggregation functions
G Beliakov, S James
(2013), Vol. 226, pp. 1-18, Fuzzy sets and systems, Amsterdam, The Netherlands, C1
Aggregating fuzzy implications to measure group consensus
G Beliakov, S James, T Calvo
(2013), pp. 1016-1021, IFSA/NAFIPS 2013 : Proceedings of the 9th Joint IFSA World Congress and NAFIPS Annual Meeting, Edmonton, Alberta, E1
Learning aggregation weights from 3-tuple comparison sets
G Beliakov, S James, D Nimmo
(2013), pp. 1388-1393, IFSA/NAFIPS 2013 : Proceedings of the 9th Joint IFSA World Congress and NAFIPS Annual Meeting, Edmonton, Alberta, E1
A generalization of the Bonferroni mean based on partitions
G Beliakov, S James, M Radko
(2013), FUZZ-IEEE 2013 : Proceedings of the IEEE International Conference on Fuzzy Systems, Hyderabad, India, E1
S James, J Brown, T Gilbee, C Rees
(2013), pp. 59-69, Lighthouse DELTA 2013 : Shining through the fog : Proceedings of the Delta Teaching and Learning of Undergraduate Mathematics and Statistics 2013 conference, Kiama, N. S. W., E1
Reliable aggregation on network traffic for web based knowledge discovery
S Yu, S James, T Yonghong, W Dou
(2012), pp. 149-159, Reliable knowledge discovery, New York, NY, B1
Aggregation for Atanassov's intuitionistic and interval valued fuzzy sets: the median operator
G Beliakov, H Bustince, S James, T Calvo, J Fernandez
(2012), Vol. 20, pp. 487-498, IEEE transactions on fuzzy systems, Piscataway, N.J., C1
Predicted packet padding for anonymous web browsing against traffic analysis attacks
S Yu, G Zhao, W Dou, S James
(2012), Vol. 7, pp. 1381-1393, IEEE transactions on information forensics and security, Piscataway, N. J., C1
Defining Bonferroni means over lattices
G Beliakov, S James
(2012), pp. 67-74, FUZZ-IEEE 2012 : Proceedings of the IEEE 2012 International Conference on Fuzzy Systems, Brisbane, Qld., E1
Using linear programming for weights identification of generalized bonferroni means in R
G Beliakov, S James
(2012), pp. 35-44, MDAI 2012 : Modeling decisions for artificial intelligence : 9th International Conference, Girona, Catalonia, Spain, November 2012 : proceedings, Catalonia, Spain, E1
Induced ordered weighted averaging operators
G Beliakov, S James
(2011), pp. 29-47, Recent developments in the ordered weighted averaging operators : theory and practice, Berlin, Germany, B1
On penalty-based aggregation functions and consensus
G Beliakov, T Calvo, S James
(2011), pp. 23-40, Consensual processes, Berlin, Germany, B1
Aggregation of preferences in recommender systems
G Beliakov, T Calvo, S James
(2011), pp. 705-734, Recommender systems handbook, New York, B1
The decoupling of abundance and species richness in lizard communities
D Nimmo, S James, L Kelly, S Watson, A Bennett
(2011), Vol. 80, pp. 650-656, Journal of animal ecology, Oxford, United Kingdom, C1
Citation-based journal ranks : The use of fuzzy measures
G Beliakov, S James
(2011), Vol. 167, pp. 101-119, Fuzzy Sets and Systems, Netherlands, C1
Learning choquet-integral-based metrics for semisupervised clustering
G Beliakov, S James, G Li
(2011), Vol. 19, pp. 562-574, IEEE Transactions on Fuzzy Systems, Piscataway, NJ, C1
On Lipschitz properties of generated aggregation functions
G Beliakov, T Calvo, S James
(2010), Vol. 161, pp. 1437-1447, Fuzzy sets and systems, Amsterdam, Netherlands, C1
Generalized Bonferroni mean operators in multi-criteria aggregation
G Beliakov, S James, J Mordelova, T Ruckschlossová, R Yager
(2010), Vol. 161, pp. 2227-2242, Fuzzy sets and systems, Amsterdam, The Netherlands, C1
Citation based journal rankings : an application of fuzzy measures
G Beliakov, S James
(2009), pp. 59-64, AGOP 2009 : Proceedings of the Fifth International Summer School on Aggregation Operators, Palma, Spain, E1
Some results on Lipschitz quasi-arithmetic means
G Beliakov, T Calvo, S James
(2009), pp. 1370-1375, IFSA-EUSFLAT 2009 : Proceedings of the 2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, Lisbon, Portugal, E1
On generalized bonferroni means
R Yager, G Beliakov, S James
(2009), pp. 1-6, EUROFUSE 2009 : Proceedings of the Eurofuse Workshop Preference Modelling and Decision Analysis, Pamplona, Spain, E1
Using choquet integrals for evaluating citation indices in journal ranking
G Beliakov, S James
(2009), pp. 1-6, EUROFUSE 2009 : Proceedings of the Eurofuse Workshop Preference Modelling and Decision Analysis, Pamplona, Spain, E1
Using Choquet integrals for kNN approximation and classification
G Beliakov, S James
(2008), pp. 1311-1317, 2008 IEEE International Conference on Fuzzy Systems : proceedings : FUZZ-IEEE 2008, Hong Kong, E1
Texture recognition by using GLCM and various aggregation functions
G Beliakov, S James, L Troiano
(2008), pp. 1472-1476, 2008 IEEE International Conference on Fuzzy Systems : proceedings : FUZZ-IEEE 2008, Hong Kong, E1
Funded Projects at Deakin
Australian Competitive Grants
Beyond black-box models: interaction in eXplainable Artificial Intelligence
Prof Gleb Beliakov, A/Prof Simon James, Dr Marek Gagolewski, Prof Enrique Herrera-Viedma
ARC - Discovery Projects
- 2023: $133,702
- 2022: $124,335
- 2021: $119,474
Supervisions
Jiaojiao Jiang
Thesis entitled: Rumor Source Identification in Complex Networks
Doctor of Philosophy (Information Technology), School of Information Technology
Timothy Alan Wilkin
Thesis entitled: Weakly Monotonic Averaging with Application to Image Processing
Doctor of Philosophy (Information Technology), School of Information Technology