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Manish Aggarwal
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2020 – today
- 2024
- [j47]Xinxing Wu, Zhiyi Zhu, Guanrong Chen, Witold Pedrycz, Lantian Liu, Manish Aggarwal:
Generalized TODIM method based on symmetric intuitionistic fuzzy Jensen-Shannon divergence. Expert Syst. Appl. 237(Part B): 121554 (2024) - [j46]Manish Aggarwal, Raghunathan Krishankumar, Kattur Soundarapandian Ravichandran, Madasu Hanmandlu:
Cloud vendor selection using choice models based on interactive criteria and varying attitudes of experts. Expert Syst. Appl. 239: 122021 (2024) - [j45]Manish Aggarwal:
An entropy framework for randomness and fuzziness. Expert Syst. Appl. 243: 122431 (2024) - [j44]Manish Aggarwal:
On fuzzy entropy functions based on human attitude. J. Oper. Res. Soc. 75(8): 1510-1523 (2024) - 2023
- [j43]Manish Aggarwal, Madasu Hanmandlu:
On modeling ambiguity through entropy. Int. Trans. Oper. Res. 30(3): 1407-1426 (2023) - [j42]Manish Aggarwal, Raghunathan Krishankumar, K. S. Ravichandran, Tapan Senapati, Ronald R. Yager:
Assessing Potential of Organizations with Fuzzy Entropy. Oper. Res. Forum 4(1) (2023) - [j41]Manish Aggarwal:
On Agent-Specific Fuzzy Entropy Functions. IEEE Trans. Syst. Man Cybern. Syst. 53(1): 2-11 (2023) - 2022
- [j40]Manish Aggarwal:
Fuzzy entropy functions based on perceived uncertainty. Knowl. Inf. Syst. 64(9): 2389-2409 (2022) - [j39]Manish Aggarwal:
Representing uncertainty in group decision making through the hesitant information set approach. Soft Comput. 26(7): 3171-3186 (2022) - [j38]Manish Aggarwal:
Entropy-Based Subjective Choice Models. IEEE Trans. Knowl. Data Eng. 34(5): 2164-2175 (2022) - 2021
- [j37]Manish Aggarwal:
Attitude-based entropy function and applications in decision-making. Eng. Appl. Artif. Intell. 104: 104290 (2021) - [j36]Manish Aggarwal:
Redefining fuzzy entropy with a general framework. Expert Syst. Appl. 164: 113671 (2021) - [j35]Manish Aggarwal:
Human decision making through an entropic framework. Expert Syst. Appl. 183: 114926 (2021) - [j34]Raghunathan Krishankumar, Pratibha Rani, K. S. Ravichandran, Manish Aggarwal, Xindong Peng:
An integrated and discriminative approach for group decision-making with probabilistic linguistic information. Soft Comput. 25(4): 3043-3057 (2021) - [j33]Manish Aggarwal:
Modeling a Decision-Maker's Choice Behavior Through Perceived Values. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1933-1944 (2021) - 2020
- [j32]Manish Aggarwal:
Logit choice models for interactive attributes. Inf. Sci. 507: 298-312 (2020) - [j31]Raghunathan Krishankumar, K. S. Ravichandran, Manish Aggarwal, Sanjay Kumar Tyagi:
Extended hesitant fuzzy linguistic term set with fuzzy confidence for solving group decision-making problems. Neural Comput. Appl. 32(7): 2879-2896 (2020) - [j30]Manish Aggarwal:
Representing uncertainty about fuzzy membership grade. Soft Comput. 24(17): 12691-12707 (2020) - [j29]Manish Aggarwal:
A New Family of Fuzzy Discrete Choice Models. IEEE Trans. Fuzzy Syst. 28(2): 205-214 (2020) - [j28]Manish Aggarwal:
Bridging the Gap Between Probabilistic and Fuzzy Entropy. IEEE Trans. Fuzzy Syst. 28(9): 2175-2184 (2020)
2010 – 2019
- 2019
- [j27]Manish Aggarwal:
Hesitant information sets and application in group decision making. Appl. Soft Comput. 75: 120-129 (2019) - [j26]Manish Aggarwal:
Confidence soft sets and applications in supplier selection. Comput. Ind. Eng. 127: 614-624 (2019) - [j25]Manish Aggarwal:
Generalized attitudinal Choquet integral. Int. J. Intell. Syst. 34(5): 733-753 (2019) - [j24]Manish Aggarwal:
Attitudinal choice models with applications in human decision making. Int. J. Intell. Syst. 34(7): 1524-1554 (2019) - [j23]Manish Aggarwal:
Soft information set for multicriteria decision making. Int. J. Intell. Syst. 34(12): 3241-3259 (2019) - [j22]Manish Aggarwal, Ali Fallah Tehrani:
Modelling Human Decision Behaviour with Preference Learning. INFORMS J. Comput. 31(2): 318-334 (2019) - [j21]Manish Aggarwal:
Decision aiding model with entropy-based subjective utility. Inf. Sci. 501: 558-572 (2019) - [j20]Manish Aggarwal:
Modelling subjective utility through entropy. J. Oper. Res. Soc. 70(4): 634-654 (2019) - [j19]Manish Aggarwal:
Preferences-based learning of multinomial logit model. Knowl. Inf. Syst. 59(3): 523-538 (2019) - [j18]Manish Aggarwal, Madasu Hanmandlu, Mark T. Keane, Kanad K. Biswas:
Intuitionistic Fuzzy Logit Model of Discrete Choice. IEEE Trans. Emerg. Top. Comput. Intell. 3(1): 85-89 (2019) - [j17]Manish Aggarwal:
Learning of a Decision-Maker's Preference Zone With an Evolutionary Approach. IEEE Trans. Neural Networks Learn. Syst. 30(3): 670-682 (2019) - [c4]Manish Aggarwal, Madasu Hanmandlu:
Moderated Information Sets. ISNN (1) 2019: 418-425 - 2018
- [j16]Manish Aggarwal:
Attitudinal Choquet integrals and applications in decision making. Int. J. Intell. Syst. 33(4): 879-898 (2018) - [j15]Manish Aggarwal:
Learning attitudinal decision model through pair-wise preferences. Kybernetes 47(8): 1569-1584 (2018) - [c3]Manish Aggarwal, Madasu Hanmandlu:
Properties for Hesitant Information Sets. ICCBB 2018: 18-21 - [c2]Manish Aggarwal, Madasu Hanmandlu:
Intelligent Controllers for Uncertain Systems. ICNC-FSKD 2018: 691-695 - 2017
- [j14]Manish Aggarwal:
Discriminative aggregation operators for multi criteria decision making. Appl. Soft Comput. 52: 1058-1069 (2017) - [j13]Manish Aggarwal:
Adaptive linguistic weighted aggregation operators for multi-criteria decision making. Appl. Soft Comput. 58: 690-699 (2017) - [j12]Manish Aggarwal:
Representation of Uncertainty with Information and Probabilistic Information Granules. Int. J. Fuzzy Syst. 19(5): 1617-1634 (2017) - [j11]Manish Aggarwal:
Learning of aggregation models in multi criteria decision making. Knowl. Based Syst. 119: 1-9 (2017) - [j10]Manish Aggarwal:
Rough Information Set and Its Applications in Decision Making. IEEE Trans. Fuzzy Syst. 25(2): 265-276 (2017) - [c1]Manish Aggarwal, Justin Heinermann, Stefan Oehmcke, Oliver Kramer:
Preferences-Based Choice Prediction in Evolutionary Multi-objective Optimization. EvoApplications (1) 2017: 715-724 - 2016
- [j9]Manish Aggarwal:
Linguistic Discriminative Aggregation in Multicriteria Decision Making. Int. J. Intell. Syst. 31(6): 529-555 (2016) - [j8]Manish Aggarwal, Madasu Hanmandlu:
Representing Uncertainty With Information Sets. IEEE Trans. Fuzzy Syst. 24(1): 1-15 (2016) - [j7]Manish Aggarwal:
Probabilistic Variable Precision Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 24(1): 29-39 (2016) - [j6]Manish Aggarwal:
On Learning of Choice Models with Interactive Attributes. IEEE Trans. Knowl. Data Eng. 28(10): 2697-2708 (2016) - 2015
- [j5]Manish Aggarwal:
Compensative weighted averaging aggregation operators. Appl. Soft Comput. 28: 368-378 (2015) - [j4]Manish Aggarwal:
Generalized compensative weighted averaging aggregation operators. Comput. Ind. Eng. 87: 81-90 (2015) - [j3]Manish Aggarwal:
A New Family of Induced OWA Operators. Int. J. Intell. Syst. 30(2): 170-205 (2015) - [j2]Manish Aggarwal:
On learning of weights through preferences. Inf. Sci. 321: 90-102 (2015) - [j1]Manish Aggarwal:
Probabilistic fuzzy rough sets. J. Intell. Fuzzy Syst. 29(5): 1901-1912 (2015)
Coauthor Index
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last updated on 2024-08-18 00:35 CEST by the dblp team
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