Manish Aggarwal

According to our database, Manish Aggarwal authored at least 48 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Generalized TODIM method based on symmetric intuitionistic fuzzy Jensen-Shannon divergence.

Xinxing Wu, Zhiyi Zhu, Guanrong Chen, Witold Pedrycz, Lantian Liu, Manish Aggarwal

Expert Syst. Appl., March, 2024

2023

On modeling ambiguity through entropy.

Manish Aggarwal, Madasu Hanmandlu

Int. Trans. Oper. Res., May, 2023

Assessing Potential of Organizations with Fuzzy Entropy.

Manish Aggarwal, Raghunathan Krishankumar, K. S. Ravichandran, Tapan Senapati, Ronald R. Yager

Oper. Res. Forum, March, 2023

On Agent-Specific Fuzzy Entropy Functions.

Manish Aggarwal

IEEE Trans. Syst. Man Cybern. Syst., 2023

2022

Entropy-Based Subjective Choice Models.

Manish Aggarwal

IEEE Trans. Knowl. Data Eng., 2022

Representing uncertainty in group decision making through the hesitant information set approach.

Manish Aggarwal

Soft Comput., 2022

Fuzzy entropy functions based on perceived uncertainty.

Manish Aggarwal

Knowl. Inf. Syst., 2022

2021

Modeling a Decision-Maker's Choice Behavior Through Perceived Values.

Manish Aggarwal

IEEE Trans. Syst. Man Cybern. Syst., 2021

An integrated and discriminative approach for group decision-making with probabilistic linguistic information.

Raghunathan Krishankumar, Pratibha Rani, K. S. Ravichandran, Manish Aggarwal, Xindong Peng

Soft Comput., 2021

Human decision making through an entropic framework.

Manish Aggarwal

Expert Syst. Appl., 2021

Redefining fuzzy entropy with a general framework.

Manish Aggarwal

Expert Syst. Appl., 2021

Attitude-based entropy function and applications in decision-making.

Manish Aggarwal

Eng. Appl. Artif. Intell., 2021

2020

Bridging the Gap Between Probabilistic and Fuzzy Entropy.

Manish Aggarwal

IEEE Trans. Fuzzy Syst., 2020

A New Family of Fuzzy Discrete Choice Models.

Manish Aggarwal

IEEE Trans. Fuzzy Syst., 2020

Representing uncertainty about fuzzy membership grade.

Manish Aggarwal

Soft Comput., 2020

Extended hesitant fuzzy linguistic term set with fuzzy confidence for solving group decision-making problems.

Raghunathan Krishankumar, K. S. Ravichandran, Manish Aggarwal, Sanjay Kumar Tyagi

Neural Comput. Appl., 2020

Logit choice models for interactive attributes.

Manish Aggarwal

Inf. Sci., 2020

2019

Learning of a Decision-Maker's Preference Zone With an Evolutionary Approach.

Manish Aggarwal

IEEE Trans. Neural Networks Learn. Syst., 2019

Intuitionistic Fuzzy Logit Model of Discrete Choice.

Manish Aggarwal, Madasu Hanmandlu, Mark T. Keane, Kanad K. Biswas

IEEE Trans. Emerg. Top. Comput. Intell., 2019

Preferences-based learning of multinomial logit model.

Manish Aggarwal

Knowl. Inf. Syst., 2019

Modelling subjective utility through entropy.

Manish Aggarwal

J. Oper. Res. Soc., 2019

Decision aiding model with entropy-based subjective utility.

Manish Aggarwal

Inf. Sci., 2019

Modelling Human Decision Behaviour with Preference Learning.

Manish Aggarwal, Ali Fallah Tehrani

INFORMS J. Comput., 2019

Soft information set for multicriteria decision making.

Manish Aggarwal

Int. J. Intell. Syst., 2019

Attitudinal choice models with applications in human decision making.

Manish Aggarwal

Int. J. Intell. Syst., 2019

Generalized attitudinal Choquet integral.

Manish Aggarwal

Int. J. Intell. Syst., 2019

Confidence soft sets and applications in supplier selection.

Manish Aggarwal

Comput. Ind. Eng., 2019

Hesitant information sets and application in group decision making.

Manish Aggarwal

Appl. Soft Comput., 2019

Moderated Information Sets.

Manish Aggarwal, Madasu Hanmandlu

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

2018

Learning attitudinal decision model through pair-wise preferences.

Manish Aggarwal

Kybernetes, 2018

Attitudinal Choquet integrals and applications in decision making.

Manish Aggarwal

Int. J. Intell. Syst., 2018

Intelligent Controllers for Uncertain Systems.

Manish Aggarwal, Madasu Hanmandlu

Proceedings of the 14th International Conference on Natural Computation, 2018

Properties for Hesitant Information Sets.

Manish Aggarwal, Madasu Hanmandlu

Proceedings of the 2nd International Conference on Computational Biology and Bioinformatics, 2018

2017

Rough Information Set and Its Applications in Decision Making.

Manish Aggarwal

IEEE Trans. Fuzzy Syst., 2017

Learning of aggregation models in multi criteria decision making.

Manish Aggarwal

Knowl. Based Syst., 2017

Representation of Uncertainty with Information and Probabilistic Information Granules.

Manish Aggarwal

Int. J. Fuzzy Syst., 2017

Adaptive linguistic weighted aggregation operators for multi-criteria decision making.

Manish Aggarwal

Appl. Soft Comput., 2017

Discriminative aggregation operators for multi criteria decision making.

Manish Aggarwal

Appl. Soft Comput., 2017

Preferences-Based Choice Prediction in Evolutionary Multi-objective Optimization.

Manish Aggarwal, Justin Heinermann, Stefan Oehmcke, Oliver Kramer

Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

2016

On Learning of Choice Models with Interactive Attributes.

Manish Aggarwal

IEEE Trans. Knowl. Data Eng., 2016

Representing Uncertainty With Information Sets.

Manish Aggarwal, Madasu Hanmandlu

IEEE Trans. Fuzzy Syst., 2016

Probabilistic Variable Precision Fuzzy Rough Sets.

Manish Aggarwal

IEEE Trans. Fuzzy Syst., 2016

Linguistic Discriminative Aggregation in Multicriteria Decision Making.

Manish Aggarwal

Int. J. Intell. Syst., 2016

2015

Probabilistic fuzzy rough sets.

Manish Aggarwal

J. Intell. Fuzzy Syst., 2015

On learning of weights through preferences.

Manish Aggarwal

Inf. Sci., 2015

A New Family of Induced OWA Operators.

Manish Aggarwal

Int. J. Intell. Syst., 2015

Generalized compensative weighted averaging aggregation operators.

Manish Aggarwal

Comput. Ind. Eng., 2015

Compensative weighted averaging aggregation operators.

Manish Aggarwal

Appl. Soft Comput., 2015