Compensative weighted averaging aggregation operators. - Manish Aggarwal (Appl. Soft Comput., 2015)

Generalized compensative weighted averaging aggregation operators. - Manish Aggarwal (Comput. Ind. Eng., 2015)

A New Family of Induced OWA Operators. - Manish Aggarwal (Int. J. Intell. Syst., 2015)

On learning of weights through preferences. - Manish Aggarwal (Inf. Sci., 2015)

Probabilistic fuzzy rough sets. - Manish Aggarwal (J. Intell. Fuzzy Syst., 2015)

Linguistic Discriminative Aggregation in Multicriteria Decision Making. - Manish Aggarwal (Int. J. Intell. Syst., 2016)

Probabilistic Variable Precision Fuzzy Rough Sets. - Manish Aggarwal (IEEE Trans. Fuzzy Syst., 2016)

Representing Uncertainty With Information Sets. - Manish Aggarwal; Madasu Hanmandlu (IEEE Trans. Fuzzy Syst., 2016)

On Learning of Choice Models with Interactive Attributes. - Manish Aggarwal (IEEE Trans. Knowl. Data Eng., 2016)

Preferences-Based Choice Prediction in Evolutionary Multi-objective Optimization. - Manish Aggarwal; Justin Heinermann; Stefan Oehmcke; Oliver Kramer 001 (EvoApplications (1), 2017)

Discriminative aggregation operators for multi criteria decision making. - Manish Aggarwal (Appl. Soft Comput., 2017)

Adaptive linguistic weighted aggregation operators for multi-criteria decision making. - Manish Aggarwal (Appl. Soft Comput., 2017)

Representation of Uncertainty with Information and Probabilistic Information Granules. - Manish Aggarwal (Int. J. Fuzzy Syst., 2017)

Learning of aggregation models in multi criteria decision making. - Manish Aggarwal (Knowl. Based Syst., 2017)

Rough Information Set and Its Applications in Decision Making. - Manish Aggarwal (IEEE Trans. Fuzzy Syst., 2017)

Properties for Hesitant Information Sets. - Manish Aggarwal; Madasu Hanmandlu (ICCBB, 2018)

Intelligent Controllers for Uncertain Systems. - Manish Aggarwal; Madasu Hanmandlu (ICNC-FSKD, 2018)

Attitudinal Choquet integrals and applications in decision making. - Manish Aggarwal (Int. J. Intell. Syst., 2018)

Learning attitudinal decision model through pair-wise preferences. - Manish Aggarwal (Kybernetes, 2018)

Moderated Information Sets. - Manish Aggarwal; Madasu Hanmandlu (ISNN (1), 2019)

Hesitant information sets and application in group decision making. - Manish Aggarwal (Appl. Soft Comput., 2019)

Confidence soft sets and applications in supplier selection. - Manish Aggarwal (Comput. Ind. Eng., 2019)

Generalized attitudinal Choquet integral. - Manish Aggarwal (Int. J. Intell. Syst., 2019)

Attitudinal choice models with applications in human decision making. - Manish Aggarwal (Int. J. Intell. Syst., 2019)

Soft information set for multicriteria decision making. - Manish Aggarwal (Int. J. Intell. Syst., 2019)

Modelling Human Decision Behaviour with Preference Learning. - Manish Aggarwal; Ali Fallah Tehrani (INFORMS J. Comput., 2019)

Decision aiding model with entropy-based subjective utility. - Manish Aggarwal (Inf. Sci., 2019)

Modelling subjective utility through entropy. - Manish Aggarwal (J. Oper. Res. Soc., 2019)

Preferences-based learning of multinomial logit model. - Manish Aggarwal (Knowl. Inf. 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)

Learning of a Decision-Maker's Preference Zone With an Evolutionary Approach. - Manish Aggarwal (IEEE Trans. Neural Networks Learn. Syst., 2019)

Logit choice models for interactive attributes. - Manish Aggarwal (Inf. Sci., 2020)

Extended hesitant fuzzy linguistic term set with fuzzy confidence for solving group decision-making problems. - Raghunathan Krishankumar; K. S. Ravichandran 001; Manish Aggarwal; Sanjay Kumar Tyagi (Neural Comput. Appl., 2020)

Representing uncertainty about fuzzy membership grade. - Manish Aggarwal (Soft Comput., 2020)

A New Family of Fuzzy Discrete Choice Models. - Manish Aggarwal (IEEE Trans. Fuzzy Syst., 2020)

Bridging the Gap Between Probabilistic and Fuzzy Entropy. - Manish Aggarwal (IEEE Trans. Fuzzy Syst., 2020)

Attitude-based entropy function and applications in decision-making. - Manish Aggarwal (Eng. Appl. Artif. Intell., 2021)

Redefining fuzzy entropy with a general framework. - Manish Aggarwal (Expert Syst. Appl., 2021)

Human decision making through an entropic framework. - Manish Aggarwal (Expert Syst. Appl., 2021)

An integrated and discriminative approach for group decision-making with probabilistic linguistic information. - Raghunathan Krishankumar; Pratibha Rani; K. S. Ravichandran 001; Manish Aggarwal; Xindong Peng (Soft Comput., 2021)

Modeling a Decision-Maker's Choice Behavior Through Perceived Values. - Manish Aggarwal (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Fuzzy entropy functions based on perceived uncertainty. - Manish Aggarwal (Knowl. Inf. Syst., 2022)

Representing uncertainty in group decision making through the hesitant information set approach. - Manish Aggarwal (Soft Comput., 2022)

Entropy-Based Subjective Choice Models. - Manish Aggarwal (IEEE Trans. Knowl. Data Eng., 2022)

On Agent-Specific Fuzzy Entropy Functions. - Manish Aggarwal (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Assessing Potential of Organizations with Fuzzy Entropy. - Manish Aggarwal; Raghunathan Krishankumar; K. S. Ravichandran 001; Tapan Senapati; Ronald R. Yager (Oper. Res. Forum, 2023)

On modeling ambiguity through entropy. - Manish Aggarwal; Madasu Hanmandlu (Int. Trans. Oper. Res., 2023)

An entropy framework for randomness and fuzziness. - Manish Aggarwal (Expert Syst. Appl., 2024)

Cloud vendor selection using choice models based on interactive criteria and varying attitudes of experts. - Manish Aggarwal; Raghunathan Krishankumar; Kattur Soundarapandian Ravichandran; Madasu Hanmandlu (Expert Syst. Appl., 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., 2024)

On fuzzy entropy functions based on human attitude. - Manish Aggarwal (J. Oper. Res. Soc., 2024)

A Secure and Robust Machine Learning Model for Intrusion Detection in Internet of Vehicles. - Pradeep Kumar Tiwari; Shiv Prakash; Animesh Tripathi; Tiansheng Yang; Rajkumar Singh Rathore; Manish Aggarwal; Narendra Kumar Shukla (IEEE Access, 2025)

On extension of 2-copulas for information fusion. - Ali Fallah Tehrani; Manish Aggarwal (INFOR Inf. Syst. Oper. Res., 2025)