A Novel Type-2 Fuzzy Programming Approach for Solving Multiobjective Programming Problems
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-9858-4_76
Reference18 articles.
1. Khorram E, Ezzati R, Valizadeh Z (2014) Linear fractional multi-objective optimization problems subject to fuzzy relational equations with a continuous Archimedean triangular norm. Inf Sci 267:225–239
2. Chakraborty D, Guha D, Dutta B (2016) Multi-objective optimization problem under fuzzy rule constraints using particle swarm optimization. Soft Comput 20:2245–2259
3. Afzal A, Ramis MK (2020) Multi-objective optimization of thermal performance in battery system using genetic and particle swarm algorithm combined with fuzzy logics. J Energy Storage 32:101815
4. Hashemi SE (2021) A fuzzy multi-objective optimization model for a sustainable reverse logistics network design of municipal waste-collecting considering the reduction of emissions. J Clean Prod 318:128577
5. Brindha S, Amali SMJ (2021) A robust and adaptive fuzzy logic based differential evolution algorithm using population diversity tuning for multi-objective optimization. Eng Appl Artif Intell 102:104240
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