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Dr. Sayantan Mandal

Assistant Professor in Mathematics, School of Engineering, Amrita Vishwa Vidyapeetham Amaravati

Qualification: Ph.D
m_sayantan@av.amrita.edu
ORCID
Google Scholar Profile
Scopus Author ID
Research Interest: Bandler-Kohout Subproduct Inference Mechanisms, Fuzzy Relational Equations, Fuzzy Relational Inference Mechanisms, Similarity Based Reasoning, Suitability of Different Types of Inference Mechanism, TSK Fuzzy Systems

Bio

Dr. Sayantan Mandal serves as an Assistant Professor in Mathematics, School of Engineering, Amrita Vishwa Vidyapeetham Amaravati Campus.

Qualification

  • Doctorate: Indian Institute of Technology Hyderabad
  • Post Graduation: University of Calcutta
  • Under Graduation: Ramakrishna Mission Residential College Narendrapur, University of Calcutta
Publications

Journal Article

Year : 2020

Monotonicity of the system function of a SISO FRI system with neutrality and ordering property preserving fuzzy implications

Cite this Research Publication : Sayantan Mandal, Monotonicity of the system function of a SISO FRI system with neutrality and ordering property preserving fuzzy implications, International Journal of Approximate Reasoning, Vol. 120, pp. 92-101, 2020. (Thomson Reuters Impact Factor: 4.452) (Sole Author) (SCI)(Q1)

Publisher : ScienceDirect

Year : 2018

Fuzzy inference systems preserving Moser – Navara axioms

Cite this Research Publication : Martin Stepnicka, Sayantan Mandal, "Fuzzy Inference Systems Preserving MoserNavara Axioms", Fuzzy Sets and Systems, Vol.338, pp. 97-116, 2018. (Thomson Reuters
Impact Factor: 4.462). (Corresponding Author) (SCI)(Q1)

Year : 2016

Monotonicity of SISO Fuzzy Relational Inference With an Implicative Rule Base

Cite this Research Publication : Sayantan Mandal and Balasubramaniam Jayaram, "Monotonicity of SISO Fuzzy Relational Inference with an Implicative Rule Base", IEEE Transactions on Fuzzy Systems, Vol. 24(6), pp. 1475 - 1487, 2016. (Thomson Reuters Impact Factor: 12.253). (SCI)(Q1)

Publisher : IEEE Transactions on Fuzzy Systems ( Volume: 24, Issue: 6, December 2016)

Year : 2015

SISO Fuzzy Relational Inference systems based on Fuzzy Implications are Universal Approximators

Cite this Research Publication : Sayantan Mandal and Balasubramaniam Jayaram, "SISO Fuzzy Relational Inference systems based on Fuzzy Implications are Universal Approximators", Fuzzy Sets and Systems, vol. 277, pp. 1 – 21, 2014. (Thomson Reuters Impact Factor: 4.462). (SCI)(Q1)

Publisher : IEEE

Year : 2015

A Survey of Adaptive Fuzzy Controllers: Nonlinearities and Classifications

Cite this Research Publication : Meng Joo Er, Sayantan Mandal," A Survey on Adaptive Fuzzy Controllers: Nonlinearities and Classifications”, IEEE Transactions on Fuzzy Systems, Volume: 24(5), pp.1095 - 1107, 2015. (Thomson Reuters Impact Factor: 12.253) (Corresponding Author) (SCI)(Q1)

Publisher : IEEE

Year : 2014

Bandler – Kohout Subproduct with Yager’s Classes of Fuzzy Implications

Cite this Research Publication : Sayantan Mandal and Balasubramaniam Jayaram, "Bandler-KohoutSubproduct withYager’s Classes of Fuzzy Implications", IEEE Transactions on Fuzzy Systems, Vol22(3), pp.469-482, 2014. (Thomson Reuters Impact Factor: 12.253). (SCI)(Q1)

Publisher : Springer Link

Conference Proceedings

Year : 2021

Interpolativity and Continuity of Similarity-Based Reasoning Fuzzy Inference

Cite this Research Publication : Sayantan Mandal, Balasubramaniam Jayaram, Interpolativity and Continuity of SimilarityBased Reasoning Fuzzy Inference, 19th World Congress of the International Fuzzy Systems Association (IFSA), 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and 11th International Summer School on Aggregation Operators (AGOP), pp. 352-359, 2021

Year : 2015

A Study of Experiential Learning Theory using Fuzzy Inference System

Cite this Research Publication : Sayantan Mandal,Meng Joo Er, Yiik Diew Wong, Rajasekar Venkatesan, " A Study of Experiential Learning Theory using Fuzzy Inference System", IEEE International Conference on Fuzzy Systems, Fuzz-IEEE 2015, Istanbul, Turkey.

Publisher : IEEE International Conference on Fuzzy Systems, Fuzz-IEEE 2015, Istanbul, Turkey.

Year : 2015

Video Key Frame Detection based on SURF Algorithm

Cite this Research Publication : RafalGrycuk, Michal Knop, Sayantan Mandal, “Video Key Frame Detection based on SURF Algorithm”, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science Volume 9119, 2015, pp 566-576.

Publisher : Springer

Year : 2015

Conditionally Firing Implicative Rules

Cite this Research Publication : Martin Stepnicka, Sayantan Mandal, "Conditionally Firing Implicative Rules" in Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology, 2015, Spain, doi:10.2991/ifsa-eusflat15.2015.9.

Year : 2014

Fuzzy Systems based on Similarity and Universal Approximation

Cite this Research Publication : Sayantan Mandal and Balasubramaniam Jayaram, "Fuzzy Systems based on Similarity and Universal Approximation", International Conference on Mathematics and Computing, ICMC 2013, Haldia, India, December 26 - 29, 2013.

Publisher : Springer

Year : 2014

Bandler-Kohout Subproduct with Yager’s classes of fuzzy implications

Cite this Research Publication : Sayantan Mandal and Balasubramaniam Jayaram, , "Bandler-Kohout Subproduct with Yager’s classes of fuzzy implications ", 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Catania, Italy, July 9-13, 2012.

Year : 2013

Monotonicity of SISO Fuzzy Relational Inference Mechanism with Yager’s Class of Fuzzy Implications

Cite this Research Publication : Sayantan Mandal and Balasubramaniam Jayaram, " Monotonicity of SISO Fuzzy Relational Inference Mechanisms with Yager's class of Fuzzy Implications", 5th International Conference on Pattern Recognition and Machine Intelligence , PReMi 2013, Kolkata, India, December 10 - 14, 2013.

Publisher : Springer Link

Year : 2011

Approximation Capability of SISO SBR Fuzzy Systems based on Fuzzy Implications

Cite this Research Publication : Sayantan Mandal and Balasubramaniam Jayaram, " Approximation Capability of SISO SBR Fuzzy Systems based on Fuzzy Implications ", 6th International Summer School on Aggregation Operators AGOP 2011, Benevento, Italy, July 11-15, 2011

Publisher : IEEE

Reviewer of Journals & Conferences

Journals:

  • Fuzzy Sets and Systems
  • IEEE Transactions of Fuzzy Systems
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