Probabilistic double hierarchy linguistic Maclaurin symmetric mean-MultiCriteria Border Approximation area Comparison method for multi-criteria group decision making and its application in a selection of traditional Chinese medicine prescriptions

Xian, Sidong; Qing, Ke; Li, Chaozhen; Luo, Ming; Liu, Ren Ping

doi:10.1016/j.artmed.2023.102558

Cited by 5 publications

(2 citation statements)

References 43 publications

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“…However, due to the limited number and time of these famous doctors, they cannot meet the growing needs of more patients. Therefore, people began to look for more efficient ways to assist TCM doctors in prescription optimization (Xian et al, 2023). Data mining technology, an interdisciplinary branch of computer science involving the cross use of AI, machine learning, statistics and database, play a vital role in analyzing large-scale TCM prescription datasets and identify potential patterns among various drugs (Birjandi and Khasteh, 2021).…”

Section: Tcm Medication Rulementioning

confidence: 99%

Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review

Zhou,

Shen,

Hou

2024

Front. Pharmacol.

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Traditional Chinese medicine (TCM) is the practical experience and summary of the Chinese nation for thousands of years. It shows great potential in treating various chronic diseases, complex diseases and major infectious diseases, and has gradually attracted the attention of people all over the world. However, due to the complexity of prescription and action mechanism of TCM, the development of TCM industry is still in a relatively conservative stage. With the rise of artificial intelligence technology in various fields, many scholars began to apply artificial intelligence technology to traditional Chinese medicine industry and made remarkable progress. This paper comprehensively summarizes the important role of artificial intelligence in the development of traditional Chinese medicine industry from various aspects, including new drug discovery, data mining, quality standardization and industry technology of traditional Chinese medicine. The limitations of artificial intelligence in these applications are also emphasized, including the lack of pharmacological research, database quality problems and the challenges brought by human-computer interaction. Nevertheless, the development of artificial intelligence has brought new opportunities and innovations to the modernization of traditional Chinese medicine. Integrating artificial intelligence technology into the comprehensive application of Chinese medicine industry is expected to overcome the major problems faced by traditional Chinese medicine industry and further promote the modernization of the whole traditional Chinese medicine industry.

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Section: Tcm Medication Rulementioning

confidence: 99%

Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review

Zhou,

Shen,

Hou

2024

Front. Pharmacol.

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“…■ To handle problems with uncertain, incomplete, and ambiguous information, researchers improved BWM with ordinary fuzzy sets (Ahmad et al, 2023), interval type-2 fuzzy sets (Chen et al, 2022;Aycin et al, 2022), hesitant fuzzy sets (Karbassi Yazdi et al, 2023), hesitant fuzzy linguistic term sets (Liang et al, 2022;Liao et al, 2019), probabilistic linguistic term sets (Xian et al, 2023;Xu et al, 2022;Liu et al, 2022), q-rung orthopair fuzzy sets (Xiao et al, 2022), Z numbers (Abbasi Kamardi et al, 2022), D numbers (Navaei et al, 2023, Bayesian theory (Hashemkhani Zolfani et al, 2022), and rough sets (Huang et al, 2022).…”

Section: The Current Status Of Bwm Researchmentioning

confidence: 99%

A State-of-the-Art Review of the BWM Method and Future Research Agenda

Ecer

2024

Technological and Economic Development of Economy

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The superiority of BWM over other weighting methods for obtaining the weight values of the attributes is that it achieves high-confidence results with a reasonable number of pairwise comparisons. Although the best-worst method (BWM) is a well-known multi-criteria decision-making (MCDM) method that has been successfully utilized in almost all scientific areas to solve challenging real-life problems, no research has comprehensively examined the state-of-the-art in this regard. The present study depicts a detailed overview of publications concerned with BWM during the period 2015–2022. Based on the information obtained from the Scopus database, this work presents a big picture of current research on BWM. In other words, this paper analyzes the existing literature about BWM and identifies thematic contexts, application areas, emerging trends, and remaining research gaps to shed light on future research agendas aligning with those gaps. Further, the most recent BWM research is analyzed in the top ten scientific areas, from engineering to materials science. “Engineering”, “computer science”, and “business, management, and accounting” are the hottest fields of BWM research. China is the most active country regarding “engineering” and “computer science”, whereas India is the leader in “business, management, and accounting”. The study also reveals that there are still many research gaps in BWM research. The big picture taken in this study will not only showcase the current situation of BWM research but will also positively impact the direction and quality of new research.

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The FMEA model based on LOPCOW-ARAS methods with interval-valued Fermatean fuzzy information for risk assessment of R&D projects in industrial robot offline programming systems

Rong,

Yu,

Liu

et al. 2023

Comp. Appl. Math.

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Probabilistic double hierarchy linguistic Maclaurin symmetric mean-MultiCriteria Border Approximation area Comparison method for multi-criteria group decision making and its application in a selection of traditional Chinese medicine prescriptions

Cited by 5 publications

References 43 publications

Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review

Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review

A State-of-the-Art Review of the BWM Method and Future Research Agenda

The FMEA model based on LOPCOW-ARAS methods with interval-valued Fermatean fuzzy information for risk assessment of R&D projects in industrial robot offline programming systems

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