[HTML][HTML] Attribute reduction and information granulation in Pythagorean fuzzy formal contexts

M Akram, HS Nawaz, M Deveci - Expert Systems with Applications, 2023 - Elsevier
Pythagorean fuzzy set theory is one of the significant tools to deal with real-life problems
which are prone to imprecision, partial truth or uncertainty. A Pythagorean fuzzy set reports …

Information fusion for multi-scale data: Survey and challenges

Q Zhang, Y Yang, Y Cheng, G Wang, W Ding, W Wu… - Information …, 2023 - Elsevier
Abstract Information fusion is a useful technique of combining and merging different
information to form a more complete and accurate result. Traditional information fusion …

Collaborative emergency decision-making for public health events: An integrated BWM-TODIM approach with multi-granularity extended probabilistic linguistic term …

X Wang, X Liang, X Li, P Luo - Applied Soft Computing, 2023 - Elsevier
Carrying out emergency rescue in coordination with multiple organizations, is of great
significance for the effectiveness and timeliness of emergency response. Therefore, this …

Decision making with intuitionistic fuzzy best-worst method

X Cheng, C Chen - Expert Systems with Applications, 2024 - Elsevier
Best-worst method (BWM) is an efficient multi-attribute decision-making (MADM) method.
This paper puts forward two decision-making methods with intuitionistic fuzzy (IF) BWM (IF …

Preference disaggregation analysis for sorting problems in the context of group decision-making with uncertain and inconsistent preferences

X Wu, H Liao, C Zhang - Information Fusion, 2024 - Elsevier
Preference disaggregation analysis is effective for inferring a preference model of decision
makers from decision examples. Although multiple criteria sorting problems are often …

A generalized Shapley index-based interval-valued Pythagorean fuzzy PROMETHEE method for group decision-making

Z Hua, X Jing - Soft Computing, 2023 - Springer
Multi-criteria group decision-making (MCGDM) problems, where correlations commonly
exist among input arguments, are becoming increasingly complex. However, most of the …

A novel integrated approach based on best–worst and VIKOR methods for green supplier selection under multi-granularity extended probabilistic linguistic …

C Zhu, X Wang - Complex & Intelligent Systems, 2024 - Springer
With consideration for the extensive resources consumption and environmental degradation
being on the rise today, implementing green development strategy to pursue both …

Measures for evaluating IT2FSs constructed from data intervals

K Baratimehr, MR Moosavi, H Tahayori - Applied Soft Computing, 2023 - Elsevier
Interval type-2 fuzzy sets (IT2FSs) are increasingly used in fuzzy systems for modeling
linguistic words. Various approaches exist to construct such IT2FSs. Although the …

On a Class of General Type-n Normal Fuzzy Sets Synthesized from Subject Matter Expert Inputs

JT Rickard, J Aisbett, JT Rickard - IEEE Transactions on Fuzzy …, 2024 - ieeexplore.ieee.org
The performance of fuzzy systems has been shown both theoretically and empirically to
improve with increasing fuzziness, eg, when fuzzy values are modeled using interval type 2 …

A Probabilistic Uncertain Linguistic Decision-Making Model for Resilient Supplier Selection Based on Extended TOPSIS and BWM

J Sun, Y Liu, J Xu, F Zhu, N Wang - International Journal of Fuzzy Systems, 2024 - Springer
Resilience is the sustainable competitive advantage of suppliers in the supply chain, and the
ability of resilient suppliers to manage risk and perform better in supply than traditional …