OFNBee Method Applied for Solution of Problems with Multiple Extremes

Ewald, Dawid; Czerniak, Jacek M.; Paprzycki, Marcin

doi:10.1007/978-3-030-77716-6_9

Cited by 1 publication

(1 citation statement)

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“…The aim of the current research is to create optimization algorithms based on ordered fuzzy numbers. The algorithm has been presented in many publications [2], [3], [4]. However, this article discusses the impact of the defuzzification function on the operation of this algorithm.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study: Defuzzification Functions and Their Effect on the Performance of the OFNbee Optimization Algorithm

Ewald,

Dobrosielski,

Czerniak

et al. 2023

Annals of Computer Science and Information Systems

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This article explores the pivotal role of defuzzification functions in the operation of the OFNBee algorithm, which employs ordered fuzzy number arithmetic to harness the inherent dynamics within a hive. Defuzzification functions serve the purpose of representing the OFN (Ordered Fuzzy Number) as a real number, while fuzzification functions convert real numbers into OFN representations. By focusing on the defuzzification function, this study investigates its impact on the performance of the OFNBee algorithm. The research demonstrates that tailoring dedicated fuzzification functions for specific optimization problems can yield substantial improvements in algorithmic performance. It is important to note that the overall performance of the algorithm relies on both the fuzzification and defuzzification functions. Consequently, this article provides valuable insights into the effects of the defuzzification function on algorithmic outcomes.

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Section: Introductionmentioning

confidence: 99%