A novel decision-making approach based on regret theory under bipolar Z-number information

Abstract This study introduces a new set theory called bipolar fuzzy Z-number set that makes it possible to express an information both bipolar from positive and negative perspectives, and with the reliability of it. Then, besides basic set-theoretical operations and the score function, a new distance measure is also presented. Furthermore, a decision method integrating with regret theory is proposed. Additionally, to compute the weights of criteria under bipolar Z-number information, a method in which objective and subjective criterion weights are considered simultaneously is introduced by combining the weights found by SWARA and MEREC. Also, a model with standard deviation is developed to obtain decision maker’s weights. Finally, the problem of selection of paper raw material is handled to demonstrate stability and advantage of the proposed method.

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Publication Details

Journal
The Journal of Supercomputing
Published
2026-01-21
DOI
https://doi.org/10.1007/s11227-025-08195-6
Primary Topic
Multi-Criteria Decision Making
Type
article
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article

A novel decision-making approach based on regret theory under bipolar Z-number information

Rıdvan Şahin, Fatma Altun, Ali Köseoğlu
The Journal of Supercomputing
Multi-Criteria Decision Making
article

A novel decision-making approach based on regret theory under bipolar Z-number information

Rıdvan Şahin, Fatma Altun, Ali Köseoğlu
article en

Abstract

Abstract This study introduces a new set theory called bipolar fuzzy Z-number set that makes it possible to express an information both bipolar from positive and negative perspectives, and with the reliability of it. Then, besides basic set-theoretical operations and the score function, a new distance measure is also presented. Furthermore, a decision method integrating with regret theory is proposed. Additionally, to compute the weights of criteria under bipolar Z-number information, a method in which objective and subjective criterion weights are considered simultaneously is introduced by combining the weights found by SWARA and MEREC. Also, a model with standard deviation is developed to obtain decision maker’s weights. Finally, the problem of selection of paper raw material is handled to demonstrate stability and advantage of the proposed method.

The Journal of SupercomputingVol. 82(2)
Gümüşhane University (TR), Recep Tayyip Erdoğan University (TR)
Peace, Justice and strong institutions
Openalex Percentile: Top 85%
Multi-Criteria Decision Making
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