# SQ-FMFO: A Novel Scalarized Multi-objective Q-Learning Approach for Fuzzy Membership Function Optimization

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/sq-fmfo-a-novel-scalarized-multi-objective-q-learning-approach-for-fuzzy/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Bodrunnessa Badhon,Mir Md. Jahangir Kabir,Md Asifur Rahman,Shuxiang Xu |
| Citations | 2 |
| DOI | 10.1007/s40815-022-01381-1 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://figshare.com/articles/journal_contribution/SQ-FMFO_A_novel_scalarized_Multi-objective_Q-learning_approach_for_Fuzzy_membership_function_optimization/23013821 |
| OpenAlex ID | https://openalex.org/W4308042577 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Md Asifur Rahman](https://scholariq.org/researchers/md-asifur-rahman/)

## Paper primary topic

- [Data Mining Algorithms and Applications](https://scholariq.org/topics/data-mining-algorithms-and-applications/)

## Paper topics

- [Data Mining Algorithms and Applications](https://scholariq.org/topics/data-mining-algorithms-and-applications/)
- [Evolutionary Algorithms and Applications](https://scholariq.org/topics/evolutionary-algorithms-and-applications/)
- [Metaheuristic Optimization Algorithms Research](https://scholariq.org/topics/metaheuristic-optimization-algorithms-research/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.