Software bug priority prediction technique based on intuitionistic fuzzy representation and class imbalance learning

Panda, Rama Ranjan; Nagwani, Naresh Kumar

doi:10.1007/s10115-023-02000-7

“…Recently, Shamiri et al [6] developed the theories of CmPF-TOPSIS and CmPF-ELECTRE-I methods and explored its application in medicine. For other related notions, the readers are suggested to [7,15,24,25,29,34]…”

Section: Introductionmentioning

confidence: 99%

Extended ELECTRE Method for Multi-Criteria Group Decision-Making with Spherical Cubic Fuzzy Sets

Ali,

Nabeel,

Farooq

2023

Preprint

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Due to the quick advancement of computer technology, the relevance of information has increased significantly for the banking sector. Protecting information security has consequently become a top priority for all banks. To solve this problem, we provide a unique strategy that extends an outranking technique named "ELiminating Et Choice Translating REality (ELECTRE)" in the context of a spherical cubic fuzzy (SCF) environment. Our suggested SCF-ELECTRE-I technique uses concordance and discordance sets, and a directed decision graph is used to offer the best option. Hence, based on score and accuracy levels, we establish three types of concordance and discordance sets: weak, medium, and strong. We intend to provide a multi-criteria group decision-making (MCGDM) strategy for evaluating online banking security concerns by combining these sets. We investigate the application of our suggested method and conduct a comparison with a few existing symmetrical approaches in order to confirm its validity and dependability.

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Extended ELECTRE method for multi-criteria group decision-making with spherical cubic fuzzy sets

Ali,

Nabeel,

Farooq

2024

Knowl Inf Syst

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Due to the quick advancement of computer technology, the relevance of information has increased significantly for the banking sector. Protecting information security has consequently become a top priority for all banks. To solve this problem, we provide a unique strategy that extends an outranking technique named "ELiminating Et Choice Translating REality (ELECTRE)" in the context of a spherical cubic fuzzy (SCF) environment. Our suggested SCF-ELECTRE-I technique uses concordance and discordance sets, and a directed decision graph is used to offer the best option. Hence, based on score and accuracy levels, we establish three types of concordance and discordance sets: weak, medium, and strong. We intend to provide a multi-criteria group decision-making (MCGDM) strategy for evaluating online banking security concerns by combining these sets. We investigate the application of our suggested method and conduct a comparison with a few existing symmetrical approaches in order to confirm its validity and dependability.

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Graph Neural Network vs. Large Language Model: A Comparative Analysis for Bug Report Priority and Severity Prediction

Acharya,

Ginde

2024

Proceedings of the 20th International Conference on Predictive Models and Data Analytics in Software Engineering

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Software bug priority prediction technique based on intuitionistic fuzzy representation and class imbalance learning

Cited by 3 publications

References 62 publications

Extended ELECTRE Method for Multi-Criteria Group Decision-Making with Spherical Cubic Fuzzy Sets

Extended ELECTRE Method for Multi-Criteria Group Decision-Making with Spherical Cubic Fuzzy Sets

Extended ELECTRE method for multi-criteria group decision-making with spherical cubic fuzzy sets

Graph Neural Network vs. Large Language Model: A Comparative Analysis for Bug Report Priority and Severity Prediction

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