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| Model | Author | Abstract/findings |
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| ANFIS | Roger Jang [2] | Automatic control system, adaptive signal processing, predictive coding, adaptive interference cancelling are few application areas of ANFIS |
| ANFIS-ABC (artificial bee colony) | Karaboga and Kaya [10] | It is used in updating the ANFIS parameter for the identification of nonlinear systems |
| ANFIS-ACO (ant colony optimization) | Cus et al. [11] | In the CNC machine process, determining the optimal machining parameters such as cutting speed, feed rate, and depth of cut |
| ANFIS-BA (BAT) | Premkumar and Manikandan [12] | It eliminates load variation issues and assists in speed control of brushless DC motor |
| ANFIS-BA (bees) | Marzia et al. [13] | Used in Mackey–Glass time-series prediction |
| ANFIS-BBO (biogeography-based optimization) | Ahmadlou et al. [14] | Providing the flood susceptibility maps in regions of Iran with high reasonable accuracies |
ANFIS-CA (cultural algorithm)
ANFIS-IWO (invasive weed optimization) | Khosravi et. al. [15] | In the Haraz watershed for identification of flood-prone areas with high precision |
| ANFIS-CBO (colliding bodies optimization) | Hassanzadeh et al. [16] | Used in estimating the bridge pier scour |
| ANFIS-COA (cuckoo optimization algorithm) | Mustapha [17] | Developing an algorithm for short-term electric load demand forecasting to improve forecasting accuracy and speed |
| ANFIS-CSA (crow search algorithm) | Elaziz et al. [18] | For any thermoacoustic heat exchanger in predicting the oscillatory heat transfer coefficient |
| ANFIS-CSA (cat search algorithm) | Orouskhani et al. [19] | Identification of nonlinear systems and prediction of a chaotic system |
| ANFIS-DE (differential evolution) | Zangeneh et al. [20] | Predicting Mackey–Glass time series and identification of a nonlinear dynamic system |
| ANFIS-FFA (firefly algorithm) | Yaseen et al. [21] | Assists in forecasting monthly rainfall with a one-month lead time |
| ANFIS-GA (genetic algorithm) | Hong et al. [22] | Development of an assessment for flood susceptibility, also using GIS with the technique |
| ANFIS-GWO (gray wolf optimization) | Jaafaria et al. [23] | For obtaining a reliable estimate of landslide susceptibility |
| ANFIS-HS (harmony search) | Wang et al. [24] | Epilepsy EEG signal classification |
| ANFIS-ICA (imperialist competitive algorithm) | Baseri and Belali-Owsia [25] | Predicting the output parameters of the manufacturing process |
| ANFIS-MFO (moth fly optimization) | Canayaz [26] | Solving problems of classification, nonlinear system identification, and time-series estimation |
| ANFIS-MHS (mosquito host seeking) | Sobia and Abudhahir [27] | Recognizing the facial expressions |
| ANFIS-PSO (particle swarm optimization) | Chen [28] | To construct a model for predicting business failures |
| ANFIS-SA (simulated annealing) | Haznedar and Kalinli [29] | Identifying dynamic systems |
| ANFIS-SBO (satin bowerbird optimizer) | Moosavi and Khatibi Bardsiri [30] | Software development effort estimation |
| ANFIS-SC (subtractive clustering) | Yadav and Ahmed [31] | Modeling academic performance in the educational domain |
| ANFIS-SFLA (shuffled frog-leaping algorithm) | Lin and Chen [32] | To build the MR damper inverse model |
| ANFIS-SSO (social spider optimization) | Ewees et al. [33] | To predict the biochar yield from manure pyrolysis |
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