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Shahnaz Shahbazova
Shahnaz Shahbazova
Azerbaijan State University of Economics UNEC, İnstitute of Control Systems of ANAS (Baku, AZ)
Verified email at unec.edu.az - Homepage
Title
Cited by
Cited by
Year
Why triangular and trapezoid membership functions: A simple explanation
V Kreinovich, O Kosheleva, SN Shahbazova
Recent developments in fuzzy logic and fuzzy sets: dedicated to Lotfi A …, 2020
462020
Fuzzy-based techniques in human-like processing of social network data
LA Zadeh, AM Abbasov, SN Shahbazova
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2015
422015
Recent Developments and the New Direction in Soft-Computing Foundations and Applications
LA Zadeh, RR Yager, SN Shahbazova, MZ Reformat, V Kreinovich
Springer International Publishing, 2018
392018
Application of fuzzy sets for control of student knowledge
SN Shahbazova
Applied and Computational Mathematics 10 (1), 195-208, 2011
252011
Analysis of Twitter hashtags: Fuzzy clustering approach
LA Zadeh, AM Abbasov, SN Shahbazova
2015 Annual Conference of the North American Fuzzy Information Processing …, 2015
212015
Development of the knowledge‐based learning system for distance education
SN Shahbazova
International Journal of Intelligent Systems 27 (4), 343-354, 2012
172012
Recent developments in fuzzy logic and fuzzy sets
SN Shahbazova, M Sugeno, J Kacprzyk, L Zadeh
Recent Developments in Fuzzy Logic and Fuzzy Sets, Berlin, Germany: Springer 391, 2020
162020
Type-2 fuzzy analysis explains ubiquity of triangular and trapezoid membership functions
O Kosheleva, V Kreinovich, S Shahbazova
Recent Developments and the New Direction in Soft-Computing Foundations and …, 2021
92021
Recent developments and new directions in soft computing. STUDFUZ 317, Cham
LA Zadeh, AM Abbasov, RR Yager, SN Shahbazova, MZ Reformat
Springer, 2014
92014
Applied research in the field of automation of learning and knowledge control
SN Shahbazova
Soft Computing: State of the Art Theory and Novel Applications, 223-240, 2013
92013
Simple linear interpolation explains all usual choices in fuzzy techniques: Membership functions, t-norms, t-conorms, and defuzzification
V Kreinovich, J Quijas, E Gallardo, CDS Lopes, O Kosheleva, ...
2015 Annual Conference of the North American Fuzzy Information Processing …, 2015
82015
An input-weighted, multi-objective evolutionary fuzzy classifier, for alcohol classification
SN Shahbazova, D Ekmekci
Acta Polytechnica Hungarica 19 (10), 61-81, 2022
52022
Informational modeling of the behavior of a teacher in the learning process based on fuzzy logic
AM Abbasov, SN Shahbazova
International Journal of Intelligent Systems 31 (1), 3-16, 2016
52016
Decision-making in determining the level of knowledge of students in the learning process under uncertainty
SN Shahbazova
Informatica 37 (3), 2013
52013
Soft computing: state of the art theory and novel applications
RR Yager, AM Abbasov, MZ Reformat, SN Shahbazova
Springer, 2012
52012
Decision-Making in definition of knowledge in the conditions of uncertainty of educational process
S Shahbazova, S Zeynalova
PCI, 2010
52010
Modeling of creation of the complex on intelligent information systems learning and knowledge control
SN Shahbazova
International journal of intelligent systems 29 (4), 307-319, 2014
42014
The development of an algorithmic model of object recognition using visual and sound information based on neuro-fuzzy logic
S Shahbazzade
Recent Developments and New Directions in Soft Computing, 181-193, 2014
32014
‘Fuzzy’multiple-choice quizzes and how to grade them
S Shahbazova, O Kosheleva
Journal of Uncertain Systems 8 (3), 216-221, 2014
32014
Creation the model of educational and methodical support based on fuzzy logic
SN Shahbazova
Recent Developments and New Directions in Soft Computing, 317-330, 2014
32014
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