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Found 8 papers, 0 papers with code
Optimizing Hyperparameters in CNNs using Bilevel Programming in Time Series Data
Hyperparameter optimization has remained a central topic within the machine learning community due to its ability to produce state-of-the-art results.
Type-2 fuzzy reliability redundancy allocation problem and its solution using particle swarm optimization algorithm
We consider IT2 MFs to represent the subsystem reliability and cost, which are to be further aggregated using extension principle to evaluate the total system reliability and cost according to their configurations, i. e., series parallel and parallel series.
Computing With Words for Student Strategy Evaluation in an Examination
The main contribution of this paper is to illustrate the use of CWW for student strategy evaluation and present a comparison of the recommendations generated by different CWW approaches.
A Novel GDP Prediction Technique based on Transfer Learning using CO2 Emission Dataset
In the last 150 years, CO2 concentration in the atmosphere has increased from 280 parts per million to 400 parts per million.
An empirical study of computing with words approaches for multi-person and single-person systems
Another dimension of this work is also to empirically prove that perceptual computing gives better performance than other CWW approaches based on extension principle, symbolic method and 2-tuple especially in scenarios where inputs are differentially weighted.
Parallel processor scheduling: formulation as multi-objective linguistic optimization and solution using Perceptual Reasoning based methodology
PR based solution methodology offers three main advantages viz., it generates unique recommendations, here the linguistic recommendations match a codebook word, and also the word model comes before the word.
Perceptual reasoning based solution methodology for linguistic optimization problems
Decision making in real-life scenarios may often be modeled as an optimization problem.
Type-2 Fuzzy Set based Hesitant Fuzzy Linguistic Term Sets for Linguistic Decision Making
Predominantly finding their basis in type-1 fuzzy sets, computing with words approaches employ type-1 fuzzy sets as semantics of the linguistic terms.
