Quantitative Calculation Method Research Articles

Research on the Instability Mechanism and Control Technology of Gob-Side Entry in Deep Mines with Soft Rock

The gob-side entry driving in deep mines with soft rock exhibits a complex deformation and instability mechanism. This complexity leads to challenges in roadway stability control which greatly affects the coal mine production succession and safe and efficient mining. This paper takes the gob-side entry in Liuzhuang Coal Mine as the background. By adopting the method of theoretical analysis, a dynamic model of the roof subsidence in the goaf is established. The calculation indicates that achieving the stable subsidence of the basic roof and the equilibrium of the lateral abutment stress within the goaf requires a minimum of 108.9 days, offering a theoretical foundation for selecting an optimal driving time for the gob-side entry. The control technologies and methods of gob-side entry through grouting modification and high-strength support are proposed. Enhancing the length of anchor ropes and the density of bolt (cable) support to improve the role of the roadway support components can be better utilized, so the role of the support components of the roadway can be better exerted. The method of grouting and the reinforcement of coal pillars can effectively improve the carrying capacity of coal pillars. The numerical simulation is used to analyze the deformation law of gob-side entry. The study reveals significant deformation in the coal pillar and substantial roof subsidence, highlighting that maintaining the stability of the coal pillar is crucial for ensuring roadway safety. Following the grouting process, the deformation of the coal pillar and roof subsidence decreased by 16.7% and 7.1%, respectively. This demonstrates that coal pillar grouting not only mitigates pillar deformation but also provides effective control over roof subsidence. This study offers a quantitative calculation method to ascertain the excavation time of gob-side entry, and suggests that the application of high-strength support and the practice of coal pillar grouting can effectively maintain the steadiness of gob-side entry in deep mines with soft rock.

A human reliability analysis method based on STPA-IDAC and BN-SLIM for driver take-over in Level 3 automated driving

Human factors play an important role in the take-over process of Level 3 (L3) automated driving. This paper combines Systems Theoretic Process Analysis (STPA) and Information, Decision and Action in Crew context (IDAC) for qualitative analysis and Bayesian Network (BN) and Success Likelihood Index Method (SLIM) for quantitative calculation to obtain the main performance shaping factors (PSFs) and evaluation indicators that cause human errors. Firstly, the STPA-IDAC method is used to analyze unsafe control actions (UCAs) for take-over process and form the mapping relationship of UCAs-IDA-PSFs. Secondly, the BN of human reliability analysis for take-over process is constructed based on the BN-SLIM method. Uncertainty in rates of PSFs and evaluation indicators is addressed in a probabilistic manner using expert opinions and empirical data. After diagnostic reasoning of BN, mean variation is used to identify the main PSFs and evaluation indicators. This method can effectively identify the main PSFs and evaluation indicators that cause human errors, facilitate risk assessment and management, and reduce the human error probability (HEP).

3D Morphological Feature Quantification and Analysis of Corn Leaves.

Marked variations in the 3-dimensional (3D) shape of corn leaves can be discerned as a function of various influences, including genetics, environmental factors, and the management of cultivation processes. However, the causes of these variations remain unclear, primarily due to the absence of quantitative methods to describe the 3D spatial morphology of leaves. To address this issue, this study acquired 3D digitized data of ear-position leaves from 478 corn inbred lines during the grain-filling stage. We propose quantitative calculation methods for 13 3D leaf shape features, such as the leaf length, 3D leaf area, leaf inclination angle, blade-included angle, blade self-twisting, blade planarity, and margin amplitude. Correlation analysis, cluster analysis, and heritability analysis were conducted among the 13 leaf traits. Leaf morphology differences among subpopulations of the inbred lines were also analyzed. The results revealed that the 3D leaf traits are capable of revealing the morphological differences among different leaf surfaces, and the genetic analysis revealed that 84.62% of the 3D phenotypic traits of ear-position leaves had a heritability greater than 0.3. However, the majority of 3D leaf shape traits were strongly affected by environmental conditions. Overall, this study quantitatively investigated 3D leaf shape in corn, providing a reliable basis for further research on the genetic regulation of corn leaf morphology and advancing the understanding of the complex interplay among crop genetics, phenotypes, and the environment.

Study on debris flow discharge characteristics of check dam spillway

After a check dam is filled with sediment, the debris flow will flow out from the spillway. Insufficient discharge capacity of the spillway can lead to debris flow scouring the dam's shoulder and foundation. Therefore, it is necessary to study the discharge capacity of the spillway. It is of great importance for further optimizing the structural design of the check dam. This article analyzes discharge characteristics of debris flow of a spillway through a series of flume experiments. According to the motion states, it can be divided into five stages: contact stage of the spillway, flushing and climbing stage, increasing and reflux stage, stable discharge stage, and final discharge stage. We analyzed the influencing factors of the discharge capacity, including the type of spillway, bulk density of debris flow, scale of debris flow, flume gradient, and effective opening width of the spillway. Furthermore, we derived a calculation formula of discharge for the spillway based on Bernoulli's principle. Finally, we considered the influence of the ratio of flow area and Froude number to the discharge coefficient and established a calculation method of discharge. Consequently, we compared the calculated results with the measured results and found them to be in good agreement. Our research results provide a quantitative calculation method for the design of spillways and energy dissipation and erosion prevention projects under check dams, which is beneficial for improving engineering value and for better serving disaster prevention and reduction efforts.

Study on shale hydrocarbon generation pressurization and its influencing factors - taking Guoyuan area of Ordos Basin as an example

The increase in shale hydrocarbon production is the main driver of crude oil accumulation, but the lack of effective theoretical and technical means limits exploration and development. In this study, the quantitative calculation method of hydrocarbon generation pressurization was improved by the hydrocarbon overburden pressure simulation experiment. The relationship between the rate of hydrocarbon conversion rate and the content of organic matter is positively correlated with the process of hydrocarbon pressurization. On the other hand, the compression coefficient of clay minerals, the formation water content and compacted overpressure have inhibitory effects on hydrocarbon generation and pressurization. The combination of various factors determines the migration and enrichment of crude oil in shale lithology. This study, taking Ordos Basin, one of the most representative basins in China, as a case study, aims to elucidate the mechanisms and parameters involved in the generation and pressurization of hydrocarbons, providing valuable insights for the exploration and development of shale reservoirs in worldwide.

ANALISIS INVESTASI PADA GEDUNG BARU PASAR MARDIKA MILIK PEMERINTAH DAERAH PROVINSI MALUKU

Buildings are an important element in the development of an area and play a significant role in people's lives, so they become attractive investment objects. The availability of buildings, especially markets, affects the smooth running of people's trade facilities and the improvement of people's welfare. The construction of the Mardika Market New Building in Ambon City is expected to facilitate buying and selling transactions and provide jobs. This study aims to analyze the feasibility of market development investment by reviewing the financial aspect. The research method used in this study is a quantitative calculation method, by knowing the investment cost, calculating annual income and expenses, then conducting a feasibility analysis using the Benefit Cost Ratio (BCR), Net Present Value (NPV), and Payback Periods (PP) methods. The results of the analysis show that the Mardika Market New Building, which covers four floors with a total area of 20,400 m² and a capacity to accommodate 2,061 traders, has a total budget of Rp. 132,185,886,068, with a construction period of 480 days. From the calculation results, BCR 1.08, NPV Rp. 10,108,469,676, and PP 13 years, 2 months, 1 day were obtained. So it can be concluded that a BCR value greater than 1, the investment is considered feasible. In addition, NPV has a positive value, meaning that the investment project is considered feasible. The project has a payback period of 13 years.Keywords:Benefit Cost Ratio, Building Investment, Mardika Market, Net Present Value, Payback Period

Construction of meta-dynamic recrystallization dynamic model of 316L stainless steel based on grain orientation spread during continuous variable rate thermal deformation

Because the deformation parameters (temperature, strain rate) in the actual manufacturing process are non-constant. We investigate meta-dynamic recrystallization behavior under the transient mutation state. First, based on a single-pass thermal deformation experiment and electron backscatter diffraction (EBSD) technique, this study establishes a quantitative calculation method for the volume fraction of meta-dynamic recrystallization under different deformation conditions, and find the GOS threshold basis for judging the occurrence of meta-dynamic recrystallization. Comparing the experimental results with the numerical simulation results, it is found that the MDRX behavior of the material could be accurately described. The meta-dynamic recrystallization evolution law of the material in the thermal deformation insulation stage under the variable strain rate state is investigated by continuous variable rate thermal deformation experiment and numerical simulation. It is observed that an increase of the average strain rate in the continuous variable strain rate state would promote the meta-dynamic recrystallization softening behavior of the material in comparison with the steady state deformation stage, and vice versa.

A two-stage feature selection method for hob state recognition

In mechanical field, tool state seriously affects the production quality and efficiency. Recently, machine learning is an important technique to realize tool state recognition. Extracting and selecting features from the raw input data of the machine learning model can effectively eliminate useless information and improve the model accuracy. Therefore, a two-stage feature selection method is proposed in this paper. We first qualitatively propose the non-discreteness and separability of signal features. For these two properties, quantitative calculation methods are then developed in two stages. The proposed two-stage feature selection method is applied to machine learning models for tool state recognition. In engineering application verification, the proposed method achieves an average recognition accuracy of 84.4% in hob wear recognition, and an average recognition accuracy of 99.8% and 94.4% for two data sets in hob fault recognition, which is significantly higher than other feature selection methods. The verification results indicate that the proposed method has good generalization and engineering application value.

A characteristic model for the relationship between cracking and bearing performance of reinforced concrete

Cracks are the most common disease in reinforced concrete structures, which seriously affects the stability of the structure. At present, the evaluation criteria for the degree of crack danger are relatively vague, and there are significant shortcomings in the quantitative evaluation of the stability of concrete structures containing cracks. This article comprehensively utilizes numerical simulation, numerical fitting, and fractal theory to establish a quantitative calculation method for structural bearing performance based on crack characteristic parameters. The main research conclusions are as follows: the influence of crack length, direction, and depth characteristic parameters on the bearing performance of reinforced concrete structures is determined through numerical simulation; A quantitative calculation method for structural bearing performance was established using a step-by-step fitting method, which comprehensively considers crack characteristic parameters. On this basis, the fractal theory was used to describe the complexity of cracks and the calculation results of the combined crack-bearing performance were corrected. Compared with numerical simulation and model experiment results, the average error in calculating the structural bearing coefficient was 5%. The research results have improved the accuracy of crack evaluation and can provide an important reference for the safety analysis of cracks in concrete structures.

Research on Computer Classification Algorithm of Concrete Crack Based on Deep Learning

In combination with transfer learning under the framework of Unet semantic partitioning, VGG16 pre-trained neural network enhanced encoder is used to extract multi-level high-level semantic information. The cross-entropy loss function is used to eliminate the imbalance between samples, and finally the crack shape is accurately semitone. Combining with the theory of computer vision, a quantitative calculation method of the crack region, length, width and other geometric characteristic parameters based on the binary segmentation template is proposed. Finally, the self-developed dam concrete crack image is taken as an example to carry out simulation and comparison test to check the correctness and superiority of the research results of this project. The research results will reveal that the crack recognition based on deep neural network can achieve a high recognition rate. The calculation results of fracture characteristic parameters meet the requirement of detection accuracy. The research results of this paper are expected to provide a new technical means for the quality control of dam concrete structure.

THREE-DIMENSIONAL MODEL OF EQUIVALENT ROLL GAP OF CVC MILL UNDER CONDITIONS OF ROLL CROSSING AND NO LOAD

Traditional roll technologies focus solely on the contour of the roll gap at the outlet under ideal conditions. However, upon roll crossing, the three-dimensional distribution of the deformation zone becomes asymmetrical, leading to an adverse impact on the rolling pressure in the deformation zone. To study the screw-down load deviation of plate mills, it is necessary to accurately calculate the equivalent three-dimensional roll gap in the deformation zone under roll-crossing conditions. In this paper a model for calculating the equivalent three-dimensional roll gap under the conditions of roll crossing and no load was established based on the method of the coordinate nonlinear transformation of the spatial rectangular coordinate system. Based on this model, the influences of roll-crossing angles and translation parameters on the symmetry of the equivalent three-dimensional roll gap were analyzed. The distribution of the three-dimensional equivalent roll gap was calculated with different roll lengths, roll radii, and the roll gap’s nominal thickness. The intuitive contour map reveals that under the same condition of crossing angle and translation parameters, the larger the roll length and roll radii and the smaller the roll gap’s nominal thickness are, the greater the influence of the roll crossing on the asymmetrical distribution of roll gap is. It put forward a quantitative calculation method for evaluating the symmetrical distribution of the roll gap, and the calculation results can provide the equivalent roll profile for the roll-deformation model.

Research on Intelligent Computing Methods for Multistep Process Capability

In the context of the deep integration of artificial intelligence and industrial fields, precise calculation of multi-step process capability has become a current research hotspot. In most industrial fields, the estimation of multi-step process capability is mostly in the rough estimation stage, and there are relatively few precise quantitative calculation methods. This paper focuses on multi-step processes in the industrial field, using deep learning models to learn the features of each step step step by step, and then comprehensively estimating the weights between each step, ultimately achieving accurate prediction of multi-step process capabilities. This paper conducts in-depth analysis of the performance and efficiency of different models on such problems by designing a large number of validation experiments, and also provides ideas and suggestions for subsequent research in this field.

Репрезентанты базовых эмоций в готском языке: этимологический аспект

In recent decades, linguistic research has seen an expansion of the range of issues that address the relationship between emotions and language. The importance of studying the emotive vocabulary in languages of the world is proven by an increased interest in the analysis of various aspects of emotive vocabulary, also by the development of the history of emotion as an independent theoretical concept of modern linguistics. One of the areas of analysis is the study of emotive vocabulary in texts written in ancient languages from the point of view of its etymological, functional, stylistic and semantic characteristics. The study of ancient Germanic emotive vocabulary contributes to the reconstruction of fragments of a medieval person’s emotional picture, contributes to the systematization of linguistic means of representing emotions and clarification of the norms of socially prescribed emotional behavior in a particular linguistic culture. The purpose of this article is to identify an inventory of the lexical and semantic group “basic emotions” in the Gothic language and to characterize their etymological links. The article is a case study of 119 lexical units, representing both the names of basic emotions and their manifestations as reactions in Gothic texts. The empirical material for analysis was formed using continuous sampling. The analysis of the language material was carried out using the methods of scientific description and generalization, the method of analyzing dictionary definitions, interpreting the results, and using the method of quantitative calculation. In this article, the emotive vocabulary (i.e. emotives) is understood as a set of language units with differing structural and functional characteristics (lexical, phraseological, syntactic, morphological, textual), in the semantics of which emotions are reflected in different proportions. The inventory of emotion vocabulary includes lexical and phraseological emotive units that are capable of expressing emotional experiences independently, and emotive means of the phonetic, prosodic, morphological, syntactic levels, which are of an auxiliary nature. The article analyzes a group of emotive units of the first type. The emotive vocabulary of the Gothic language is a system of lexical means functionally aiming at the social coding of the emotional behavior accepted in the corresponding language community. The lexical units of the Gothic emotive vocabulary include direct representations of emotions, descriptions of emotional reactions through the symptomatology of their manifestation, and units that directly express emotions. The article analyzes the lexical units of the first two types, semantically representing basic emotions (according to K.E. Izard). The study of the Gothic emotive lexicon confirms the fact that all emotions of the basic level, namely, interest, joy, surprise, grief, anger, disgust, contempt, fear, shame and guilt are lexically designated in the language. The lexical-semantic group “basic emotions” is represented by nouns, verbs, adjectives and adverbs, in quantitative terms unevenly distributed in segments related to different emotions. According to the collected data, such core emotions as joy (pleasure), anger (rage) and fear (horror) have been extensively represented in Gothic, for which more than ten designations have been identified. The analysis of representations of basic emotions in the Gothic language makes it possible to evaluate both the relative chronology pertinent to the entrance of the emotion words to the word stock and the adaptability of language means for conveying nonnative concepts in a translated text in the context of a social bilingual environment. In the overwhelming majority, the vocabulary of emotions is represented by derivatives based on the verbal or adjectival stems. Nouns denoting basic emotions in Gothic are represented by the lexemes of all three grammatical genders that belong to the declension types ending in either a vowel or a consonant, with a prevalence of feminine nouns. The morphemic structure of emotion words usually contains a word-forming suffixal element (a suffix per se or a stem-forming suffix of a “younger” origin). The most ancient layer of nominal designations of emotions includes neuter nouns of the declension types in -a and in -ja. Verbal representatives of the emotion vocabulary under consideration belong to different classes of the Gothic weak verbs; a few cases are examples of strong, preterite-present and reduplicating verbs. A written religious document in the Gothic language demonstrates the whole range of basic emotions that people could experience in the past, and why they experienced them, i.e. in connection with what situations, also in what form they felt them, what social practices generated a certain “code” of emotional manifestations.

Heat generation mechanisms during induction heating of cross-ply carbon fiber reinforced thermoplastic laminates

Induction welding is considered to be one of the most promising welding technologies for carbon fiber reinforced thermoplastic (CFRTP) composites. However, the uncertainty of heat generation mechanisms presents a challenge to regulating the temperature field uniformity. In this paper, a quantitative calculation method for the induction heating efficiency of various mechanisms was proposed for cross-ply CFRTP laminates. Combining electrical and thermal properties, the cross-ply CF/PEEK and CF/PPS induction heating experiments were designed to explore the quantity ratio of various heat generation mechanisms. The results show that the heat production at the junction is about 106-107 times that of fiber heating. The dielectric loss is dominant mechanism at the junction, and the proportions of heat generated by dielectric loss in CF/PEEK and CF/PPS laminates were 0.6688 and 0.8255, respectively. Furthermore, the temperature prediction model with various stacking sequences was established, showing a good agreement with the experimental temperatures.

Discursive means and tactics of forming the media image of the president of Russia in the German political media discourse

The relevance of the study is determined by the practical necessity of a systematic research of linguistic and pragmatic aspects of communicative tactics and discursive means actualization in forming the media image of V. V. Putin, the president of Russia, in the political media discourse during the period of aggravation of the information-psychological warfare of the collective West in regard to the Russian Federation and, in particular, to the President of the Russian Federation V. Putin, in the context of the Special Military Operation (SMO) in Ukraine. The authors aim to determine the communicative tactics and discursive means of forming the media image of the President of Russia, as well as to identify his media portrait in the current political situation in Germany. The present study offers a theoretical review of modern Russian and foreign studies, devoted to the definition of media image. The material of the present study is the documentary film “Putin – Der gefährliche Despot” (ZDF). The research is based on N. B. Ruzhentseva and O. L. Mikhaleva’s classification of communicative tactics and is carried out with the help of the methods of continuous sampling, discourse analysis, contextual analysis, as well as the method of quantitative calculation. The authors identify 17 main communicative tactics and discursive means of forming the media image of the President of Russia used in 80 contexts. The obtained findings allow to demonstrate the linguistic manifestation of the critical, distrustful and wary position of Germany towards Russia and V. Putin; the presence, to a greater extent, of predominantly negative judgments about the personality of the President of Russia and his activities in the political arena; Germany’s desire to discredit Russia and its President at the federal level in the eyes of its population through the use of a diverse array of communicative tactics and discursive means of speech influence.

Translation solutions used in the binary and intersemiotic translation of the graphic novel about the Marvel universe

The article discusses the key translation solutions that have been applied by translators in the binary and intersemiotic translation (film adaptation) of a graphic novel about the Marvel universe. The object of the study includes occasionalisms, substandard lexis and onomatopoeia in the graphic novel “X-Men: Battle of the Atom” as one of the most popular within the analyzed universe. Within the framework of the research, such linguistic methods as the continuous selection method, the contextual analysis method, the structural and semantic analysis method, the descriptive method, the comparative analysis method, the contrastive analysis method, as well as quantitative calculation methods are used. The authors conduct a comparative translation analysis of the translation and the original of the comics “X-Men: Battle of the Atom”, during which they identify occasionalisms and distribute them into certain thematic groups. The study highlights the main types of onomatopoeia typical of the English-language graphic novels. The calculation and analysis of translation solutions used in the transfer of onomatopes used in the comics into the Russian language are carried out. Attention is paid to the main types of stylistically substandard lexis – vulgarisms and swear words, which are also considered in terms of translation from English into Russian. When analyzing the transformations of the verbal component of a graphic novel in its intersemiotic translation (film adaptation), the authors focus on the occasional lexis, since in this type of translation only occasionalisms can have correspondences. The substandard lexis in the film adaptation is omitted, and when translating onomatopoeia, the verbal component is converted into the sound component of the film text. In the intersemiotic translation, only a part of the occasionalisms is preserved, which is conditioned by the reduction in the number of characters and significant locations.

Operational shock: A method for estimating cyber security incident costs for large Australian healthcare providers

ABSTRACT This paper introduces a novel cyber incident cost estimation methodology, applicable to large Australian healthcare providers. A review demonstrates the poor utility of current risk estimation approaches and the vulnerability of healthcare networks is evaluated using Leibniz’s law of indiscernibles, and Evans’ theory of vague objects. Finally, a quantitative cost calculation method is proposed, merging temporal and impact variables with service data from the Australian Institute of Health and Welfare. This research demonstrates that existing attempts to measure cyber incident risk produces vague results. This is evidenced by 929 Australian healthcare data breaches recorded over 5 years, a AU$0.6bn annual national risk exposure, and low levels of healthcare cyber maturity across three states. The likelihood of data breaches is reported as 99.4%, with known ICT vulnerabilities exceeding 207,000. After logically concluding that healthcare networks are fundamentally insecure, an ‘operational shock’ calculation method is modelled against the AIHW data, to illustrate realistic cyber incident costs. This returns an exposure across Australia’s acute care hospital network of AU$148.1 m from a single incident that takes 1 week to resolve. In considering this quantum, risk transfer options using cyber insurance and improved agency cyber risk programs are required to mitigate significant financial risks.

A Refined Analysis Method for Flight Safety Based on a Multi-stage Reliability Model

Flight verification is an indispensable key step in the process of aircraft development. Due to the inevitable existence of protected targets in and around the flight area, the accidental crash of aircraft during flight will pose a threat to the protected targets, so it is necessary to carry out a quantitative analysis of flight safety risks. To meet the requirements of flight safety risk quantitative analysis and improve the refinement degree of risk quantification, this paper proposes a flight safety refinement analysis method based on a multi-stage reliability model. Firstly, the failure modes of the aircraft flight process are summarized, and then the stage distribution logic analysis method and quantitative calculation method of failure modes are proposed. Finally, the target threat probability calculation model is given, which realizes the quantitative evaluation of the safety risk of the flight area and provides support for the optimization design of the flight safety control area.

Life-cycle assessment and prediction on ultimate capacity of corroded Q690 steel columns with H-section under bi-directional cyclic loading

The structures or structural members made of high-strength steel may have time-varying mechanical properties in whole life-cycle due to the ageing effects. In particular, the corroded steel structures in high-seismicity regions could have unexpected failure modes when subjected multi-directional excitations. Therefore, in this study, the mechanical properties of Q690 steel H-section columns during the life-cycle under bi-directional cyclic loads are investigated. Firstly, a refined finite element (FE) model is built, which takes the time-varying of corrosion characteristics into consideration. Then, the degradations of mechanical property and failure mechanisms of steel columns with different design parameters at whole life-cycle are analysed by the FE models. Finally, a quantitative calculation method of ultimate resistance and damage index of steel columns considering ageing effects is proposed. The findings demonstrate that several factors affect the ultimate strength of steel columns during the life-cycle stage, with the axial compression ratio and flange width-thickness ratio having the greatest impacts on the ultimate capacity. The ageing effect decreases the plastic flow capacity of steel columns, increases the stress concentration, and induces the failure mode transition from plastic flow to buckling failure. The ageing effect may be accurately estimated by the suggested calculation method for the ultimate capacity and damage index of steel columns at the life-cycle stage. The findings of this study highlight the significance of taking into account the ageing effects of steel columns in the seismic design.

Basic uncertainty information hesitant fuzzy multi-attribute decision-making method with credibility

This study addresses the inadequacy of the current quantitative calculation method for decision-maker credibility in hesitant fuzzy multi-attribute decision-making, where credibility is considered. To overcome this limitation, a novel quantitative calculation method for decision-maker credibility is proposed based on the principles of basic uncertainty information theory under a hesitant fuzzy environment. Furthermore, a credible-based hesitant fuzzy multi-attribute decision model is developed. Initially, the paper introduces the concept of a basic uncertainty hesitant fuzzy set by combining basic uncertainty information theory with hesitant fuzzy set theory, thereby enhancing the understanding of basic uncertainty information theory within the realm of non-interval fuzzy information. Building on this foundation, the method for determining the hesitant degree of each element in the basic uncertainty hesitant fuzzy set is provided, followed by the proposed quantitative calculation method for decision-maker’s credibility under the hesitant fuzzy environment, which addresses the lack of a quantitative approach for assessing expert credibility under such circumstances. Subsequently, an attribute weight assignment method is introduced, considering the decision-maker’s credibility, leading to the formulation of a basic uncertainty hesitant fuzzy multi-attribute decision model based on credibility. This model enhances existing hesitant fuzzy multi-attribute decision-making methods that take credibility into account. To validate the proposed approach, the study applies it to the selection of new energy vehicle battery suppliers. The results of the analysis using actual data and sensitivity analysis demonstrate that decision-maker credibility can be quantitatively determined using the proposed method. Additionally, the basic uncertainty hesitant fuzzy multi-attribute decision-making model based on credibility effectively aids in supplier selection. The feasibility and stability of this method are verified through the examination of risk appetite coefficient and hesitancy coefficient.