Phone:

+91-79-6632 4937

Email:

manish@iima.ac.in

Website:

faculty.iima.ac.in/~manish

Manish Aggarwal

Information Systems

Educational Qualifications

  • M.Tech(CSE/Maths) IIT Delhi
  • Ph.D. (CSE/IT) IIT Delhi

Academic Affiliation

  • Visiting faculty : University College Dublin, Ireland
  • Visiting university academician: Department of Informatics, University of Oldenburg, Germany
  • Post-doc: Department of Information and Computer Science, Univ. of Trento, Italy (EU Fellowship)
  • Visiting doctoral student: Department of Computer Science and Mathematics, Univ. of Marburg, Germany (DAAD Fellowship)

Professional Affiliation

A decade of research and managerial experience in renowned global corporations.

 

Teaching

  • Internet Technologies
  • Knowledge Support Systems
  • DBMS
  • Internet-enabled Businesses

 

Area of Research :

  • Information systems
  • Decision sciences
  • Soft computing
  • Fuzzy systems
  • Knowledge representation under uncertainty
  • Machine learning
  • Multi-objective optimization
  • Artificial intelligence

 

Current Research :

  • Multi criteria decision making (MCDM)
  • Preference learning
  • Evolutionary multi-objective optimization
  • Fuzzy decision analysis
  • Fuzzy sets and systems
  • Rough set theory
  • Information Fusion
  • Plausible and analogical reasoning

Publications/Articles/Cases:

Journal Articles

  • M. Aggarwal, Ali-Fallah Tehrani, Modelling Human Decision Behaviour with Preference-learning, INFORMS Journal on Computing, Forthcoming, 2019.
  • M. Aggarwal, Preferences-based learning of multinomial logit model, Knowledge and Information Systems, Forthcoming 2019.
  • M. Aggarwal, Decision-Aiding Model with Entropy-based Subjective Utility, Information Sciences, Forthcoming 2019.
  • M. Aggarwal, Generalized attitudinal Choquet integral, International Journal of Intelligent Systems, Forthcoming 2019.
  • M. Aggarwal, Confidence soft sets and applications in supplier selection, Computers and Industrial Engineering, vol. 127, pp. 614 – 624, January 2019.
  • M. Aggarwal, Hesitant information sets and application in group decision making, Applied Soft Computing, vol. 75, pp. 120 -129, February 2019.
  • M. Aggarwal, Learning of a Decision-Maker's Preference Zone with an Evolutionary Approach, IEEE Transactions on Neural Networks and Learning Systems, vol.30, no. 3, pp. 670 – 682, March 2019.
  • M. Aggarwal, M. Hanmandlu, M. Keane, K. K. Biswas, Intuitionistic Fuzzy Multinomial Logit Model, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 3, no. 1, pp. 85-89, Feb. 2019.
  • M. Aggarwal, Modelling Subjective Utility through Entropy, Journal of the Operational Research Society, April 2018.
  • M. Aggarwal, Learning Attitudinal Decision Model through Pair-wise Preferences, Kybernetes, vol. 47, no. 8, April    2018.
  • M. Aggarwal, Attitudinal Choquet integrals and applications in decision making, International Jour-nal of Intelligent Systems, vol. 33, no. 4, pp. 879 – 898, April 2018.
  • M. Aggarwal, Adaptive linguistic weighted aggregation operators in multi-criteria decision making, Applied Soft Computing, vol. 58, pp. 690 – 699, September 2017.
  • M. Aggarwal, Rough Information Set and Its Applications in Decision Making, IEEE Transactions on Fuzzy Systems, vol. 25, no. 2, pp. 265 - 276, April 2017.
  • M. Aggarwal, Learning of aggregation models in multi criteria decision making, Knowledge-Based Systems, Vol. 119, pp. 1 9, March 2017
  • M. Aggarwal, Discriminative aggregation operators for multi criteria decision making, Applied Soft Computing, Vol. 52, pp. 1058 - 1069 Mar. 2017.
  • M. Aggarwal, Representation of Uncertainty with Information and Probabilistic Information Gran-ules, International Journal of Fuzzy Systems, vol. 19, no. 5, pp. 1617 – 1634, October 2017.
  • M. Aggarwal, Linguistic Discriminative Aggregation in Multi-Criteria Decision Making, Interna-tional Journal of Intelligent Systems, Vol. 31, no. 6, pp. 529 - 555, June 2016.
  • M. Aggarwal, On Learning of Choice Models with Interactive Attributes, IEEE Transactions on Knowledge & Data Engineering, vol. 28, no. 10, pp. 2697 – 2708, October 2016.
  • M. Aggarwal, Probabilistic Variable Precision Fuzzy Rough Sets, IEEE Transactions on Fuzzy Sys-tems, Vol. 24, no. 1, pp. 29 – 39, February 2016.
  • M. Aggarwal, M. Hanmandlu, Representing Uncertainty with Information Sets, IEEE Transactions on Fuzzy Systems, Vol. 24, no. 1, pp. 1 - 15, February 2016.
  • M. Aggarwal, On the Learning of Weights through Preferences, Information Sciences, Vol. 321, pp. 90 - 102, November 2015.
  • M. Aggarwal, Generalized Compensative Weighted Averaging Operators, Computers and Industrial Engineering, Vol. 87, pp. 81- 90, September 2015.
  • M. Aggarwal, Compensative Weighted Averaging Operators, Applied Soft Computing, Vol. 28, pp. 368 - 378, March 2015.
  • M. Aggarwal, New Family of Induced OWA Aggregation Operators, International Journal of Intel-ligent Systems, Vol. 30, no. 2, pp. 170 - 205, February 2015.
  • M. Aggarwal, Probabilistic Fuzzy Rough Sets, Journal of Intelligent and Fuzzy Systems, vol. 29, no. 5, pp. 1901 - 1912, 2015.
  • M. Aggarwal, A. F. Tehrani, E. Hullermeier, Preference-based Learning of Ideal Solutions in TOPSIS-like Decision Models, Journal of Multi-Criteria Decision Analysis (Wiley), Vol. 22, no. 3 - 4, pp. 175 - 183, May – August 2015.
  • M. Aggarwal, T. Palpanas, Linguistic Rough Sets, International Journal of Machine Learning and Cybernetics (Springer), 2014.
  • M. Aggarwal, K. K. Biswas, M. Hanmandlu, Generalized intuitionistic fuzzy soft sets with ap-plications in decision-making, Applied Soft Computing, Vol. 13, Issue 8, 2013, pp. 3552 3566. Top 25 Hottest (most downloaded) Elsevier article in 2013.
  • M. Aggarwal, M. Hanmandlu, K. K. Biswas, A Probabilistic and Decision Attitude Aggregation Operator for Intuitionistic Fuzzy Environment, International Journal of Intelligent Systems, Vol. 28, Issue 8, pp. 806 – 839, August 2013.


Book Chapter

  • M. Aggarwal J. Heinermann, S. Oehmcke, O. Kramer, Preferences-Based Choice Prediction in Evo-lutionary Multi-Objective Optimization, in: EvoApplications 2017, G. Squillero and K. Sim (Eds.), Part 1, LNCS 10199, pp. 1 10, 2017.
  • M. Aggarwal, K. K. Biswas, M. Hanmandlu, Handling Fuzzy Models in the Probabilistic domain, in: Computational Intelligence, Studies in Computational Intelligence (SCI), Madani et al. (Eds.), Springer, Berlin, pp. 137 151, 2013.


Peer-Reviewed Proceedings

  • M. Aggarwal, M. Hanmandlu, Information Measures for Hesitant Information Sets, 2018 2nd Inter-national Conference on Computational Biology and Bioinformatics, 11-13 Oct., 2018, Bari, Italy.
  • M. Aggarwal, M. Hanmandlu, Intelligent Controllers for Uncertain Systems, The 2018 14th Interna-tional Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2018), 28-30 Jul. 2018, China (to appear).
  • M. Aggarwal, M. Hanmandlu, K. K. Biswas, The Properties and Information Measures for Informa-tion Sets, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE, 2014), Accepted, 6 11 July 2014, Beijing, China.
  • M. Aggarwal, M. Hanmandlu, K. K. Biswas, New Linguistic Aggregation Operators for Decision Making, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE, 2014), Accepted, 6 11 July 2014, Beijing, China.
  • M. Aggarwal, K. K. Biswas, M. Hanmandlu, Intuitionistic fuzzy soft preference relations and appli-cation in decision making, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE, 2013) , pp. 1 8, 7 10 July 2013, Hyderabad, India.
  • M. Aggarwal, K. K. Biswas, M. Hanmandlu, Choquet integral vs. TOPSIS: An intuitionistic fuzzy approach, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE, 2013), pp. 1 8, 7 10 July 2013, Hyderabad, India.
  • M. Aggarwal, K. K. Biswas, M. Hanmandlu, Probabilistic Intuitionistic Fuzzy Models, 5th Interna-tional Conference on Automation, Robotics and Applications (ICARA, 2011), pp. 214 219, Dec. 6 8, Wellington, New Zealand, 2011.
  • M. Aggarwal, K. K. Biswas, M. Hanmandlu, Fuzzy Model Building using Probabilistic Rules, Inter-national Conference on Fuzzy Computation Theory and Applications, IJCCI (FCTA, 2011), Scitepress, pp. 361 369, Paris, France, 24 26 Oct. 2011 Nominated for best student paper.
  • M. Aggarwal, K. K. Biswas, M. Hanmandlu, Relations in Generalized Intuitionistic Fuzzy Soft Sets, IEEE International Conference on Computational Intelligence for Measurement Systems and Appli-cations (CIMSA, 2011), Sep 19 22, Ottawa, Canada, 2011.
  • M. Aggarwal, M. Hanmandlu, K. K. Biswas, Generalized intuitionistic fuzzy soft set and its ap-plication in practical medical diagnosis problem, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE, 2011), pp. 2972 2978, Taipei, Taiwan, 27 30 June 2011.

Consulting

 

Awards & Honors

  • Microsoft travel awards:
    • 2011
    • 2013
  • Research and Post-doctoral fellowships:
    • University of of Lyon, France (European Commission)
    • City University, London (European Commission)
    • University of Neuchatel, Switzerland (Swiss Govt. Fellowship)
    • University of Sasketchewan, Canada (Canadian Govt. Commonwealth Fellowship)

Thoughts

 

Staging Enabled