Average Operation Research Articles

Surgical treatment of Nutcracker Syndrome

The objective of this paper is to report early and mid-term outcomes of the surgical treatment Nutcracker Syndrome (NCS) in a single-center prospective study. Between January 2019 and September 2023, five patients with symptomatic NCS were treated at our center using left renal vein caudal transposition on the inferior vena cava, conducted through a midline incision of approximately 12 cm and a transperitoneal technique. Patient characteristics, presentation, length of hospital stay, and complications were analyzed. All diagnoses were established after clinical evaluation, ultrasound scanning, and radiological investigations, which confirmed left renal vein compression between the aorta and the Superior Mesenteric Artery (SMA). The average operating time was 159 minutes, with an average blood loss of 205 mL. There was no need for blood transfusions. Intensive care stay was not required and there were no early complications. The mean length of stay was 3.5 days. At a mean follow-up of 18.8 months, one patient reported persistent hematuria, and therefore underwent a secondary procedure, which incorporated patch venoplasty using the great saphenous vein. In our experience, left renal vein transposition appears to be a safe and effective procedure for the surgical management of severe NCS.

Safety of single-use flexible ureteroscopy for dusting of upper urinary tract calculi in children

BackgroundFlexible ureteroscopy offers numerous advantages, such as increased reach, superior stone-free rate, reduced risk of bleeding, minimal surgical trauma, and faster recovery time. There are few studies discussing the effectiveness of single-use flexible ureteroscopy in children, and none so far have addressed its safety. This study aims to evaluate the effectiveness and safety of a single-use flexible ureteroscope for treating upper urinary tract stones in children.MethodsThis study included children with single upper urinary tract stones measuring less than 2 cm who underwent single-use flexible ureteroscopy between October 2020 and January 2023. We assessed the following patient characteristics: age, gender, stone type, size, position, pre and postoperative stent placements, use of a ureteral access sheath, stone-free rate, operation duration, and the rate of complications. A patient was considered stone-free if there were no residual stone particles larger than 3 mm after surgery.ResultsFlexible ureteroscopy and holmium laser lithotripsy were undertaken for 44 participants, with an average age of 8.5 years (range: 2–16 years). The typical stone size was 14 mm (range: 6–20 mm). The average operation time was 74 min (range 35–110 min). Ureteral access sheaths were used in 81.8% (36 out of 44) of procedures. After a single FURS session, 86.36% (38 out of 44) of patients achieved stone-free status. Postoperative JJ stent application was noted in 86.4% (38 out of 44) of patients. Complications were categorized using the Calvien system, revealing that 25% (11 out of 44) of patients experienced mild hematuria, colic, and low-grade fever (Calvien I). No severe side effects like mucosal avulsion or ureteral perforation were reported.ConclusionIn the short-term, single-use flexible ureteroscopy is a safe and effective method for managing single renal and proximal ureteric stones, measuring 2 cm or less, in children.

A novel perspective on the selection of an effective approach to reduce road traffic accidents under Fermatean fuzzy settings.

Road traffic accidents (RTAs) pose a significant hazard to the security of the general public, especially in developing nations. A daily average of more than three thousand fatalities is recorded worldwide, rating it as the second most prevalent cause of death among people aged 5-29. Precise and reliable decisionmaking techniques are essential for identifying the most effective approach to mitigate road traffic incidents. This research endeavors to investigate this specific concern. The Fermatean fuzzy set (FFS) is a strong and efficient method for addressing ambiguity, particularly when the concept of Pythagorean fuzzy set fails to provide a solution. This research presents two innovative aggregation operators: the Fermatean fuzzy ordered weighted averaging (FFOWA) operator and the Fermatean fuzzy dynamic ordered weighted geometric (FFOWG) operator. The salient characteristics of these operators are discussed and important exceptional scenarios are thoroughly delineated. Furthermore, by implementing the suggested operators, we develop a systematic approach to handle multiple attribute decisionmaking (MADM) scenarios that involve Fermatean fuzzy (FF) data. In order to show the viability of the developed method, we provide a numerical illustration encompassing the determination of the most effective approach to alleviate road traffic accidents. Lastly, we conduct a comparative evaluation of the proposed approach in relation to a number of established methodologies.

Gradient projection-based trajectory tracking control for automatic guided vehicle

In order to solve the problems of long operation time for solving the trajectory tracking controller and low real-time tracking. This paper proposes an improved model predictive control algorithm. By introducing the gradient projection method (GPM), the projection direction is used as the fastest descent direction of the objective function, which is used to reduce the number of iterations of the operation. Meanwhile, this paper adds constraints and relaxation factors to improve the trajectory tracking accuracy and prevent the controller operations from falling into local optimal solutions. Simulation by Simulink, the improved model predictive control algorithm reduces the average operation time by 24.74% and the single maximum operation time by 36.04%, effectively improving the real-time trajectory tracking performance. Finally, the verification experiment of trajectory tracking control is carried out by actual vehicle, proving the method’s effectiveness.

Utilizing sine trigonometric q-spherical fuzzy rough aggregation operators for group decision-making and their role in digital transformation

q-spherical fuzzy rough set (q-SFRS) is also one of the fundamental concepts for addressing more uncertainties in decision problems than the existing structures of fuzzy sets, and thus its implementation was more substantial. The well-known sine trigonometric function maintains the periodicity and symmetry of the origin in nature and thus satisfies the expectations of the experts over the multi-parameters. Taking this feature and the significance of the q-SFRSs into consideration, the main objective of the article is to describe some reliable sine trigonometric laws for SFSs. Associated with these laws, we develop new average and geometric aggregation operators to aggregate the q-spherical fuzzy rough numbers. Then, we presented a group decision-making strategy to address the multi-attribute group decision-making problem using the developed aggregation operators. To verify the value of the defined operators, a MAGDM strategy is provided along with applications for selecting a Cloud Service Provider and a Digital Transformation Vendor for digital transformation. Moreover, a comparative study is also performed to present the effectiveness of the developed approach.

Comprehensive Evaluation of Urban Road Network Capacity Using Fractal Theory in the Context of the Internet of Things

Abstract In order to make a good assessment of road traffic status, this paper proposes a comprehensive evaluation method of urban road network capacity based on soft computing under the background of Internet of Things. The focus of the research is to use a variety of soft computing technologies such as Hausdorff dimension simplification method, branch dimension measurement algorithm, multifractal method, etc., to analyze the overall traffic load and guide the traffic channelization in an optimal way, considering various factors comprehensively. The model helps to optimize infrastructure and reduce road traffic congestion. This avoids traffic congestion, ultimately reducing the carbon footprint and promoting a green environment. This method analyzes the network capacity, network load and corresponding conversion coefficient of all levels of highway. Based on the multi-component linear regression method, this paper evaluates the urban road network capacity, and constructs the urban road network capacity planning model according to the traffic volume constraints and travel time constraints. The test results show that under the application of this method, the road capacity of the planned route exceeds 4000 pcu. The pcu is a passenger vehicle unit that measures the extent to which different types of vehicles have an impact on road capacity. When the capacity of a planned road exceeds 4000 pcu, it means that the road can carry a large number of different types of vehicles at the same time, and the average operating speed of the line can reach 42.3 km/h. After 5 years of planning, the efficiency of road use is still above 75 %. It can be proved that this method can obtain the optimal traffic path through better route planning and avoid traffic congestion and pollution.

FORECASTING THE REAL AVERAGE RETIREMENT BENEFIT IN THE UNITED STATES USING OWA OPERATORS

The issue of pensions has become increasingly topical. This paper presents the ordered weighted averaging real average pension (OWARAP) operator. The OWARAP operator is based on the ordered weighted averaging (OWA) operator and calculates the future average retirement benefit taking into account price changes. Moreover, this work extends the OWARAP operator by using order-inducing variables, generalized means, and probabilities. This paper ends by analyzing the applicability of the OWARAP operator and its extensions in forecasting the real average Social Security benefits for retired workers in each state of the United States (U.S.). The results demonstrate the usefulness of the proposed approach in retirement decision making.

The application of a single-hand-operated hepatic pedicle clamping clamp in laparoscopic hepatectomy.

In this paper, a single-hand-operated hepatic pedicle clamp was introduced, and its application value in laparoscopic liver tumor resection was preliminarily discussed. The clinical data of 67 patients who underwent laparoscopic liver tumor resection at the First Affiliated Hospital of Wannan Medical College from March 2019 to October 2023 were retrospectively analyzed. The Pringle maneuver was performed with a hepatic pedicle clamp during the operation. The preoperative, intraoperative and postoperative clinical data were observed and recorded. Sixty-seven patients had a median block number, block time, intraoperative blood loss, and postoperative length of hospital stay of 4, 55 min, 400 ml, and 7 days, respectively. The average operation time was 304.9±118.4 min, the time required for each block was 3.2±2.4 s, and the time required for each removed block was 2.6±0.7 s.None of the patients developed portal vein thrombosis or hepatic artery aneurysm formation. The hepatic pedicle clamping clamp is simple to use in laparoscopic hepatectomy, optimizes the operation process, and has a reliable blocking effect. It is recommended for clinical application.

Advanced K3V2(PO4)2O2F cathode for rechargeable potassium-ion batteries with high energy density

Potassium-ion batteries (PIBs) have emerged as promising candidates for cost-effective and sustainable energy-storage systems. Nevertheless, limited by the large K+ radius, PIBs have great difficulty in figuring out and designing suitable host materials. Herein, a suitable cathode material K3V2(PO4)2O2F (KVPOF) for PIBs has been carefully prepared. It exhibits a high specific capacity close to the theoretical value, 116.3 mAh/g at 20 mA/g within the voltage window of 2.0–4.5 V vs K+/K, corresponding to a de-/intercalation process of ∼2 mol K+ per formula unit. In addition, it presents an average operating voltage plateau of about 3.5 V, resulting in an energy density of about 410 Wh/kg. The crystal structure and phase transition are revealed by in situ x-ray diffraction, and the structure is found to be fully reversible during the de-/intercalation of K+. Furthermore, the potential of KVPOF cathode for applications at low temperatures was explored, and the full cell matched with graphite anode demonstrated fair electrochemical performance. The experimental results suggest the feasibility of using KVPOF as cathode material for rechargeable PIBs.

The Growing Trend of Degenerative Spine Surgery Under Spinal Anesthesia in the Elderly: Empowering Patient Safety: A Series of 83 Cases

Objective: Awake spine surgery has improved patient outcomes in common orthopaedic procedures. Integrating it into spine surgery is of interest to surgeons since it may reduce the difficulties and complications associated with general anaesthesia. The demand for safe spine surgery is rising due to healthcare improvements and increasing ageing population. This study aimed to assess the safety and feasibility of spine surgery under spinal anesthesia for elderly patients aged 65 and older.Methods: In a retrospective review, 83 lower lumbar spine surgeries performed under spinal anesthesia by a single surgeon at a single hospital from 2015 to 2019 were examined. All procedure-related data was collected prospectively for analysis. This study explored demographic characteristics, surgical features, perioperative concerns, and anesthesia-related obstacles in spine surgery under spinal anaesthesia.Results: This study included 83 patients aged 65 years and older. Following follow-up, visual analogue scale and Oswestry Disability Index scores considerably improved (p<0.05). Patients in the American Society of Anesthesiologists physical characteristics classification grade II had the highest count. The most common level was L4–5. About 7.2% of patients needed multiple spinal procedures. The average induction time was 20.2±9.6 minutes. The average intraoperative operation lasted 84.0±17.20 minutes. The shifting-out process took 7.95±2.10 minutes to start. The mean intraoperative arterial blood pressure was 70.7±10.8 mmHg, and the mean heart rate was 69.0±7.2 beats per minute. The average postoperative analgesia initiation time was 79.9±7.7 minutes. The average postoperative stay was 3.02±0.83 days. In 10.8% of individuals, cerebrospinal fluid was found. 1.2% of patients experienced postoperative hypotension, 12% experienced nausea and vomiting. Infection occurred in 2.4% of patients, and 14.5% experienced post-operative urinary retention.Conclusion: This case series shows that older patients can undergo lumbar fusion, decompression surgeries under spinal anesthesia with a skilled anaesthesia team. Additionally, spinal anaesthesia substantially minimised dangers and concerns related with general aanaesthesia.

Initial investigation on ultrasound-guided percutaneous biopsy of lesions in the first hepatic hilum with fusion of ultrasound and multimodal imaging cognitive guidance.

This study aims to evaluate the efficacy and safety of ultrasound-guided percutaneous biopsy of the first hepatic hilum lesion, and examine its clinical value of diagnosis and treatment. We conducted a retrospective study on patients diagnosed with the first hepatic hilum lesions at Fujian Provincial Hospital between February 2015 and October 2022. We selected patients who had lesions in the first hepatic hilum(including a 2cm surrounding area of the left/right hepatic ducts and upper-middle segment of the common bile duct) and the liver periphery(in the peripheral area of the liver, outside of the above-mentioned first hepatic porta region). These patients underwent percutaneous ultrasound-guided core needle biopsy (PUS-CNB) with cognitive fusion guidance using CT, MRI, or PET-CT. We compared the safety and efficacy of PUS-CNB in the first hepatic hilum and the liver periphery to explore the value of PUS-CNB in optimizing the clinical treatment of the first hepatic hilum lesions. The studied includes 38 cases of the first hepatic hilum cases (18 females; 20 males), 23 presented with mass-forming tumors while the remaining 15 exhibited diffuse infiltrative tumors, with an average diameter of 4.65± 2.51 cm. The percutaneous biopsy procedure, conducted under ultrasound guidance, had an average operation time of 14.55 ± 2.73 minutes, and resulted in a postoperative bleeding volume of approximately 10.79 ± 2.79 ml. The diagnostic success rate was noted to be as high as 92.11% among the participants who underwent percutaneous biopsy of the first hepatic hilum. Procedural complications, such as bleeding, bile leakage, intestinal perforation, infection or needle tract seeding, did not occur during or after the biopsy procedure. Affected by biopsy results, 5 altered their clinical treatment plans accordingly, 24patients received non-surgical treatment, 9 underwent surgical treatment, 5 underwent radiofrequency ablation for the lesions. The study comprised a total of 112 cases for percutaneous biopsy of the liver periphery. The safety and effectiveness of the two biopsy techniques were comparable, with diagnostic success rates of 92.11% VS. 94.34%, respectively (p = 0.61). Cognitive fusion of ultrasound and multi-modal imaging for the first hepatic hilum lesion puncture biopsy is a safe and effective diagnostic procedure, with better diagnostic rate, may improve clinical value of diagnosis and treatment of various diseases.

Thermoelastic wave generation and its longitudinal wave propagation measurement by a microscopic optical interferometer

Laser ultrasonics is a noncontact measurement method that uses a laser-induced elastic wave source in combination with an optical surface displacement-tracking system. This study compared the performances of two optical interferometers with different characteristics when applied to measurement of pulsed thermoelastic waves. The surface displacement-tracking system was designed to measure the center of the microscopic view. A pulsed laser beam irradiated a black ink layer to generate the thermoelastic waves. The out-of-plane displacement on the axially opposite side was then measured using either a Michelson interferometer or a Sagnac interferometer. The objective lens of the system was of a type commonly used in biological observations. The Michelson interferometer estimated a maximum displacement of 0.43 nm and a maximum sound pressure of 24.7 kPa. The signal-to-noise ratios from 16 averages were 14.9 dB (Michelson interferometer) and 19.2 dB (Sagnac interferometer). Furthermore, this paper compares the performance of the numerically estimated Sagnac interferometer outputs calculated from the measured Michelson interferometer outputs with the experimentally obtained Sagnac interferometer outputs. The numerically estimated Sagnac interferometer’s output was shown to be identical to the experimentally acquired output. The Michelson interferometer requires a higher average operating frequency (i.e., it needs a longer data acquisition time), although this interferometer does offer superior displacement output linearity. This property enables calculation of the sound pressure from the displacement amplitude. These findings indicated that combination of the measurement points of the Sagnac interferometer with those of the sparsely distributed Michelson interferometer reduced the measurement time when compared with a single use of the Michelson interferometer while also maintaining the data acquisition quality.

Which companies among the SMEs operate in accordance with the Sustainable Development Goals


 
 
 The purpose of the article is to identify the factors that have a significant impact on the decision of SMEs to operate in accordance with the Sustainable Development Goals (SDGs). The identification was made on the basis of data collected in December 2022 during a survey of a sample of 303 SMEs from all over Poland. In order to identify the above-mentioned factors, the following were analyzed: type of business, industry to which the primary economic activity of the surveyed company is assigned, age of the company, type of ownership, scope of activity, organizational and legal form, number of employees, average annual net income. Correlation tests confirmed the hypotheses of the relationship between the number of employees and average annual net income and operation in accordance with the SDGs. Further verification of the relationship, performed using a logit model, confirmed that average annual net income and industry are significant variables. There is a relationship between these variables and acting in accordance with the SDGs. The chance of making a decision by a company about operating in accordance with the SDGs increases as the average annual net income increases. The probability of operating in accordance with the SDGs is higher if the company operates in the following industries, i.a.: real estate activities, transportation, financial and insurance, construction, agriculture.
 
 

Body lift with lateral thigh lift: surgical technique and comparison with the inferior body lift.

Despite its rarity, cutaneous adipose tissue excess in the trochanteric region following massive weight loss is a surgical challenge. The aim of this work is to propose a surgical technique for lifting the outer thighs by describing its indications and its limitations. 74 patients were recruited into the study between 2018 2021. Two groups were identified: patients with bodylift combined with lateral thigh lift (n=20) and patients with lower bodylift (n=54). Satisfaction was obtained through the BODY Q questionnaire. The average operating time is 45 minutes longer when an outer thigh lift is performed. The median length of hospitalization is similar. The complication rate is 26% for the bodylift group and 60% for the thigh lift group (p<0.01); the most common complication is dehiscence. Data analysis shows that the lateral thigh lift technique does not affect immediate postoperative evolution or hospitalization duration, proving its safety. There was an increase in total complications among patients who underwent lateral thigh lifts. Dehiscence is the most common complication, which is an outpatient treatment. The satisfaction rate is high. Satisfaction is linked to improved quality of life. In our experience, the technique described is an effective means of trochanteric deformities.

Analyzing the barriers to resilience supply chain adoption in the food industry using hybrid interval-valued fermatean fuzzy PROMETHEE-II model

The resilient food supply chain (RFSC) has been identified as an effective model for mitigating food supply chain (FSC) risks. However, there exist many barriers impacting the implementation of the RFSC. Further, previous studies seldom utilize integrated decision models for identifying and ranking the barriers to implementing RFSC within uncertain environments. Thus, the study establishes an interval-valued Fermatean fuzzy (IVFF) decision framework to identify and rank these barriers. The framework is classified into four stages. First, to model the interaction between preference information, we introduce the IVFF-prioritized weighted average (PWA) operator to collect this information. Then, an integrated IVFF-CRITIC method is proposed to calculate the barrier weights considering their inter-correlation relationships. Next, the IVFF-PWA operator and IVFF-CRITIC method are incorporated into the PROMETHEE-II model to rank the barrier levels of alternative participation in the FSC. Further, a case study about analyzing implementation barriers to RFSC is employed to test the effectiveness and practicality of the presented framework. The result shows that the participation food processing company (priority: 0.161) has the highest barrier level. The findings of this article may offer decision support to stakeholders for mitigating the barriers to implementing a resilient supply chain in the food industry.

FCE-based health status evaluation and IGM-based failure prediction of tool magazine manipulator for CNC machine tools

The reliability of machine tool components, particularly the tool magazine manipulator, significantly affects the overall performance of the machine tool. To address the challenge of accurately evaluating the manipulator’s health status using a single performance indicator, this study proposes a method that combines Fuzzy Comprehensive Evaluation (FCE) and a Combined Weighting Method (CWM). By considering both subjective and objective factors, this method provides a comprehensive evaluation of the manipulator’s health status, enhancing the accuracy and reliability of the assessment. The method utilizes fuzzy distribution to construct membership matrices for different health levels and adopts the CWM that combines the Entropy Weight Method (EWM) and Analytic Hierarchy Process (AHP) to determine the combined weights of the health evaluation indices. This approach improves the accuracy and reliability by considering multiple indicators and objectively weighting them based on their importance. The current health status of the manipulator is evaluated using the fuzzy weighted average operator and the maximum membership principle. Moreover, a fault prediction method based on Particle Swarm Optimization (PSO) and GM(1,1) is proposed to overcome the information gap and small sample problems. The proposed model’s prediction accuracy is verified by comparing it with other models, demonstrating its effectiveness and reliability.

Bipolar valued probabilistic hesitant fuzzy sets based on Generalized Hybrid Operators in multi-criteria decision-making problems based on TOPSIS

This paper aims to present Bipolar valued probabilistic hesitant fuzzy sets (BVPHFSs) by combining bipolar fuzzy sets and probabilistic hesitant fuzzy sets (PHFSs). PHFSs are a strong version of hesitant fuzzy sets (HFSs) in terms of evaluated as probabilistic of each element. Probabilistic hesitant fuzzy sets (PHFSs) are a set structure that argues that each alternative should be evaluated probabilistically. In this framework, the proposed cluster allows probabilistic evaluation of decision- makers’ opinions as negative. Thus, this case proposes flexibility about selection of an element and aids to overcome with noise channels. Furthermore, some new aggregation operators are discussed called bipolar valued probabilistic hesitant fuzzy weighted average operator (BVPHFWA), Generalized bipolar valued probabilistic hesitant fuzzy weighted average operator (GBVPHFWA), bipolar valued probabilistic hesitant fuzzy weighted geometric operator (BVPHFWG), Generalized bipolar valued probabilistic hesitant fuzzy weighted geometric operator (GBVPHFWG), bipolar valued probabilistic hesitant fuzzy hybrid weighted arithmetic and geometric operator (BVPHFHWAG) and Generalized bipolar valued probabilistic hesitant fuzzy hybrid weighted arithmetic and geometric (GBVPHFHWAG) and some basic properties are presented. A score function is defined ranking alternatives. Moreover, two different algorithms are put forward with helping to TOPSIS method and by using aggregation operators over BVPHFSs. The validity of proposed operators are analyzed with an example and results are compared in their own.

Interval-valued T-spherical fuzzy extended power aggregation operators and their application in multi-criteria decision-making

Abstract As an effective tool to show the fuzziness of qualitative information, the interval-valued T-spherical fuzzy set can utilize three kinds of information, namely, membership, abstinence, and non-membership, to show the opinions of decision-maker. Given this advantage, many interval-valued T-spherical fuzzy multi-criteria decision-making (IVTSF-MCDM) methods have been designed. However, most of the existing IVTSF-MCDM methods have a common limitation that the inability to effectively show the impacts of extreme data. To address this limitation, this study develops a novel MCDM method based on interval-valued T-spherical fuzzy extended power aggregation operator. First, interval-valued T-spherical fuzzy cross-entropy (CE) and interval-valued T-spherical fuzzy symmetrical CE are defined to measure the difference between two interval-valued T-spherical fuzzy numbers, which are used to determine criteria weights in MCDM. Second, interval-valued T-spherical fuzzy extended power average operator and interval-valued T-spherical fuzzy extended power geometric operator are proposed, and their properties are investigated. Moreover, in view of that criteria may be assigned to different weights, this study defines interval-valued T-spherical fuzzy extended power weighted average operator and interval-valued T-spherical fuzzy extended power weighted geometric operator to derive the order of alternatives. Finally, the applicability of the proposed method is validated by the case about investment country selection, while the sensitivity and comparison analyses are also conducted to further prove its advantages and effectiveness.

Designing stable neural networks using convex analysis and ODEs

Motivated by classical work on the numerical integration of ordinary differential equations we present a ResNet-styled neural network architecture that encodes non-expansive (1-Lipschitz) operators, as long as the spectral norms of the weights are appropriately constrained. This is to be contrasted with the ordinary ResNet architecture which, even if the spectral norms of the weights are constrained, has a Lipschitz constant that, in the worst case, grows exponentially with the depth of the network. Further analysis of the proposed architecture shows that the spectral norms of the weights can be further constrained to ensure that the network is an averaged operator, making it a natural candidate for a learned denoiser in Plug-and-Play algorithms. Using a novel adaptive way of enforcing the spectral norm constraints, we show that, even with these constraints, it is possible to train performant networks. The proposed architecture is applied to the problem of adversarially robust image classification, to image denoising, and finally to the inverse problem of deblurring.

A 2-order additive fuzzy measure identification method based on hesitant fuzzy linguistic interaction degree and its application in credit assessment

To reflect both fuzziness and hesitation in the evaluation of interactivity between attributes in the identification process of 2-order additive fuzzy measure, this work uses the hesitant fuzzy linguistic term set (HFLTS) to describe and depict the interactivity between attributes. Firstly, the interactivity between attributes is defined by the supermodular game theory. According to this definition, a linguistic term set is established to characterize the interactivity between attributes. Under the linguistic term set, the experts employ linguistic expressions generated by context-free grammar to qualitatively describe the interactivity between attributes. Secondly, through the conversion function, the linguistic expressions are transformed into the hesitant fuzzy linguistic term sets (HFLTSs). The individual evaluation results of all experts were further aggregated with the defined hesitant fuzzy linguistic weighted power average operator (HFLWPA). Thirdly, based on the standard Euclidean distance formula of the hesitant fuzzy linguistic elements (HFLEs), the hesitant fuzzy linguistic interaction degree (HFLID) between attributes is defined and calculated by constructing a piecewise function. As a result, a 2-order additive fuzzy measure identification method based on HFLID is proposed. Based on the proposed method, using the Choquet fuzzy integral as nonlinear integration operator, a multi-attribute decision making (MADM) process is then presented. Taking the credit assessment of the big data listed companies in China as an application example, the analysis results of application example prove the feasibility and effectiveness of the proposed method. This work successfully reflects both the fuzziness and hesitation in evaluating the interactivity between attributes in the identification process of 2-order additive fuzzy measure, enriches the theoretical framework of 2-order additive fuzzy measure, and expands the applicability and methodology of 2-order additive fuzzy measure in multi-attribute decision making.