New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method

J Huang, ZS Li, HC Liu - Reliability Engineering & System Safety, 2017 - Elsevier
As a proactive risk management instrument, failure mode and effect analysis (FMEA) has
been broadly utilized to recognize, evaluate and eliminate failure modes of products …

A tutorial review on entropy-based handcrafted feature extraction for information fusion

RC Guido - Information Fusion, 2018 - Elsevier
Entropy (H) is the main subject of this article, concisely written to serve as a tutorial
introducing two feature extraction (FE) methods for usage in digital signal processing (DSP) …

Uncertainty measures for probabilistic hesitant fuzzy sets in multiple criteria decision making

B Farhadinia, U Aickelin… - International Journal of …, 2020 - Wiley Online Library
This contribution reviews critically the existing entropy measures for probabilistic hesitant
fuzzy sets (PHFSs), and demonstrates that these entropy measures fail to effectively …

Similarity-based multi-criteria decision making technique of pythagorean fuzzy sets

B Farhadinia - Artificial intelligence review, 2022 - Springer
Pythagorean fuzzy set (PFS) is a more flexible and effective way than intuitionistic fuzzy set
(IFS) to seize indeterminacy. In this context, the main aim is to develop a number of new …

Canonical triangular interval type-2 fuzzy set linguistic distribution assessment TODIM approach: A case study of FMEA for electric vehicles DC charging piles

Y Tian, S Song, D Zhou, S Pang, C Wei - Expert Systems with Applications, 2023 - Elsevier
Linguistic distribution assessment (LDA) plays a prominent role in describing the subjective
uncertainties and objective distribution of decision-maker (DM) opinions. Although there …

Linguistic information-based granular computing based on a tournament selection operator-guided PSO for supporting multi-attribute group decision-making with …

T Huang, X Tang, S Zhao, Q Zhang, W Pedrycz - Information Sciences, 2022 - Elsevier
This study investigates linguistic information-based granular computing for supporting multi-
attribute group decision-making where relative importance of experts/attributes, and …

A sentiment analysis-based two-stage consensus model of large-scale group with core-periphery structure

Y Liang, Y Ju, P Dong, XJ Zeng, L Martínez, J Dong… - Information …, 2023 - Elsevier
The development of big data and social media has driven large-scale group decision
making (LSGDM) to merge with social networks and focus on individual behavioral factors …

[HTML][HTML] Cross-platform hotel evaluation by aggregating multi-website consumer reviews with probabilistic linguistic term set and Choquet integral

Y Zhang, D Liang, Z Xu - Annals of Operations Research, 2022 - Springer
In order to adequately utilize and integrate both ratings and comments from multiple
websites, this paper proposes a new hotel evaluation model with probabilistic linguistic …

A linguistic information granulation model and its penalty function-based co-evolutionary PSO solution approach for supporting GDM with distributed linguistic …

Q Zhang, T Huang, X Tang, K Xu, W Pedrycz - Information Fusion, 2022 - Elsevier
This study focuses on linguistic information operational realization through information
granulation in group decision-making (GDM) scenarios where the preference information …

Canonical triangular interval type-2 fuzzy linguistic distribution assessment EDAS approach with its application to production supplier evaluation and ranking

Y Tian, S Song, S Bao, D Zhou, C Wei - Applied Soft Computing, 2024 - Elsevier
The evaluation and ranking of suppliers is a critical challenge because it profoundly
influences the profitability and competitive positions of manufacturers and producers. This …