Manish Aggarwal

J. Oper. Res. Soc., August, 2024

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

[BibT_eX]

[DOI]

Expert Syst. Appl., March, 2024

Cloud vendor selection using choice models based on interactive criteria and varying attitudes of experts.

[BibT_eX]

[DOI]

Kattur Soundarapandian Ravichandran

Expert Syst. Appl., 2024

An entropy framework for randomness and fuzziness.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

2023

On modeling ambiguity through entropy.

[BibT_eX]

[DOI]

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

Assessing Potential of Organizations with Fuzzy Entropy.

[BibT_eX]

[DOI]

K. S. Ravichandran

Tapan Senapati

Ronald R. Yager

Oper. Res. Forum, March, 2023

On Agent-Specific Fuzzy Entropy Functions.

[BibT_eX]

[DOI]

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

2022

Entropy-Based Subjective Choice Models.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

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

[BibT_eX]

[DOI]

Soft Comput., 2022

Fuzzy entropy functions based on perceived uncertainty.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2022

2021

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Soft Comput., 2021

Human decision making through an entropic framework.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

Redefining fuzzy entropy with a general framework.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

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

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2021

2020

Bridging the Gap Between Probabilistic and Fuzzy Entropy.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2020

A New Family of Fuzzy Discrete Choice Models.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2020

Representing uncertainty about fuzzy membership grade.

[BibT_eX]

[DOI]

Soft Comput., 2020

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

[BibT_eX]

[DOI]

K. S. Ravichandran

Sanjay Kumar Tyagi

Neural Comput. Appl., 2020

Logit choice models for interactive attributes.

[BibT_eX]

[DOI]

Inf. Sci., 2020

2019

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Intuitionistic Fuzzy Logit Model of Discrete Choice.

[BibT_eX]

[DOI]

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

Preferences-based learning of multinomial logit model.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2019

Modelling subjective utility through entropy.

[BibT_eX]

[DOI]

J. Oper. Res. Soc., 2019

Decision aiding model with entropy-based subjective utility.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Modelling Human Decision Behaviour with Preference Learning.

[BibT_eX]

[DOI]

Ali Fallah Tehrani

INFORMS J. Comput., 2019

Soft information set for multicriteria decision making.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2019

Attitudinal choice models with applications in human decision making.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2019

Generalized attitudinal Choquet integral.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2019

Confidence soft sets and applications in supplier selection.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2019

Hesitant information sets and application in group decision making.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2019

Moderated Information Sets.

[BibT_eX]

[DOI]

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

2018

Learning attitudinal decision model through pair-wise preferences.

[BibT_eX]

[DOI]

Kybernetes, 2018

Attitudinal Choquet integrals and applications in decision making.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2018

Intelligent Controllers for Uncertain Systems.

[BibT_eX]

[DOI]

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

Properties for Hesitant Information Sets.

[BibT_eX]

[DOI]

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

2017

Rough Information Set and Its Applications in Decision Making.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2017

Learning of aggregation models in multi criteria decision making.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

Representation of Uncertainty with Information and Probabilistic Information Granules.

[BibT_eX]

[DOI]

Int. J. Fuzzy Syst., 2017

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

[BibT_eX]

[DOI]

Appl. Soft Comput., 2017

Discriminative aggregation operators for multi criteria decision making.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2017

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

[BibT_eX]

[DOI]

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

2016

On Learning of Choice Models with Interactive Attributes.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Representing Uncertainty With Information Sets.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2016

Probabilistic Variable Precision Fuzzy Rough Sets.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2016

Linguistic Discriminative Aggregation in Multicriteria Decision Making.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2016

2015

Probabilistic fuzzy rough sets.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2015

On learning of weights through preferences.

[BibT_eX]

[DOI]

Inf. Sci., 2015

A New Family of Induced OWA Operators.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2015

Generalized compensative weighted averaging aggregation operators.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2015

Compensative weighted averaging aggregation operators.

[BibT_eX]

[DOI]