December 2024
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31 Reads
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1 Citation
Computers & Operations Research
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Publications (31)
November 2024
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25 Reads
Decision Support Systems
Multimorbidity, the presence of two or more chronic conditions within an individual, represents one of the most intricate challenges for global health systems. Traditional single-disease management often fails to address the multifaceted nature of multimorbidity. Network model emerges as a growing field for elucidating the interconnections among multimorbidity. However, the field lacks a standardized method to compute and visually represent of these networks. Given the challenges, this study proposes a three-stage methodology to decipher multimorbidity. First, we integrate the Failure Modes and Effects Analysis (FMEA) method with the multimorbidity encapsulation framework to develop the Multimorbidity Risk Network (MRN). Second, we use complex network techniques to identify high-risk patterns within MRN communities. Finally, we apply machine learning techniques to correlate these communities with the biological attributes of patients that have been marginalized in most studies. Our approach advocates a paradigm shift from the conventional focus on single diseases to a holistic, patient-centric approach, providing decision-makers with integrated information technology artifacts for deciphering the multimorbidity.
June 2024
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14 Reads
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19 Citations
Journal of Manufacturing Systems
January 2024
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4 Reads
October 2023
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35 Reads
Energy consuµption is one of the key topics of urban railway systeµs froµ the perspective of operating costs and environµental friendliness. Interstation speed profile and tiµetable optiµization are two µain µeans to achieve energy saving. A bi-level energy-efficient optiµization µethod is proposed in this study to associate the advantages of speed profile optiµization and tiµetable optiµization and reinforce the optiµization effect. Firstly, for lower-level optiµization, an interstation speed profile optiµization µodel is built based on µultiple running scheµes, and a µulti-objective evolutionary algorithµ coµbined with an analytic function is proposed to obtain Pareto front solutions. Then, for upper-level optiµization, an energy-efficient tiµetable optiµization µodel is constructed based on Pareto front solutions of each running section acquired froµ lower-level optiµization. Accordingly, the solving µethod with an evolutionary algorithµ is proposed to µiniµize total net energy consuµption. Finally, the case study of the Yizhuang line shows the effectiveness of the proposed µethod and 27.56% overall energy saved. Lastly, the results with different scenes revealed the influence of each level optiµization on the overall results.
October 2023
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12 Reads
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8 Citations
Applied Soft Computing
![The influence of r-value change based on q-RONFSSMSM and q-RONFSSWMSM operators on the sorting result (k = 1, q = 5): (a) rϵ[−10, −1] and (b) rϵ[−50, −10].](https://www.researchgate.net/publication/373347892/figure/fig4/AS:11431281184680160@1693418196943/The-influence-of-r-value-change-based-on-q-RONFSSMSM-and-q-RONFSSWMSM-operators-on-the_Q320.jpg)
![The influence of r-value change based on q-RONFSSMSM and q-RONFSSWMSM operators on the sorting result (k = 2, q = 5): (a) rϵ[−10, −1] and (b) rϵ[−50, −10].](https://www.researchgate.net/publication/373347892/figure/fig5/AS:11431281184680162@1693418197105/The-influence-of-r-value-change-based-on-q-RONFSSMSM-and-q-RONFSSWMSM-operators-on-the_Q320.jpg)
August 2023
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22 Reads
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4 Citations
In order to be able to make a good decision, we need to evaluate the uncertainty information of multiple attributes of different alternatives that obey the normal distribution, and the interrelationship among multiple attributes should be considered in the process of evaluating. This paper aims to propose a new multiple attribute decision-making (MADM) method, which uses a new aggregation operator to evaluate the uncertainty information that obey normal distribution comprehensively. We firstly extended Schweizer-Sklar (SS) t-norm (TN) and t-conorm (TCN) to q-rung orthopair normal fuzzy number (q-RONFN) and defined the Schweizer-Skla operational laws of q-rung orthopair normal fuzzy set (q-RONFs). Secondly, we developed q-rung orthopair normal fuzzy Maclaurin symmetric mean aggregation operators based on SS operations considering that the Maclaurin symmetric mean operator can reflect the interrelationship among multiple input variables. Furthermore, we discussed some desirable properties of the above operators, such as monotonicity, commutativity, and idempotency. Lastly, we proposed a novel MADM method based on developed aggregation operators. A numerical example on enterprise partner selection is given to testify the effectiveness of the developed method. The results of analysis indicated that our proposed aggregation operators have stronger information aggregation ability and are more general and flexible for MADM problems.
May 2023
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14 Reads
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2 Citations
Physica A Statistical Mechanics and its Applications
May 2023
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29 Reads
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31 Citations
Information Sciences
April 2022
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34 Reads
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21 Citations
Ceramics International
Sapphire crystals have been widely used in the fields of national defense and optical devices due to good chemical stability and high temperature resistance. In this study, the surface quality, edge fracture characteristic and subsurface damage behavior of sapphire induced by helical micro abrasive tools were experimentally investigated. Effects of geometrical structure of helix micro abrasive tool and process parameters on surface topography, section profile height and surface roughness of sapphire were analyzed. To reveal formation mechanism of subsurface damage of sapphire induced by micro-grinding process, the high temperature chemical corrosion was used to etch sapphire workpiece, and the transformation law of surface morphology and crack layer information with corrosion time were obtained. Besides, effects of geometrical structure of helix micro abrasive tool and process parameters on edge collapse feature and surface fracture length for sapphire crystals were discussed. Furthermore, the ratio of etching surface defect area was put forward to qualitatively the degree of subsurface damage and experimental results indicated that the ratio of etching surface defect area of sapphire was increased with the increase of feed speed and grinding depth. This research can supply a theoretical basis for understanding surface feature and subsurface damage behaviors of monocrystal sapphire involved in micro-grinding process and provide important guidance for high surface quality and low subsurface damage grinding of hard brittle materials.
Citations (21)
... Some optimization problems in power systems are economic load dispatch (ELD) problem [1], economic emission dispatch (EED) problem [2], unit commitment (UC) problem [3], power stability problem [4], and so on. Some optimization problems in manufacturing systems are flow shop scheduling problem [5], job shop scheduling problem [6], batch scheduling problem [7], and so on. Vehicle routing problem is a popular optimization problem with various derivatives, such as multi depot vehicle routing problem [8], capacitated vehicle routing problem [9], and pickup and delivery problem [10]. ...
- Citing Article
December 2024
Computers & Operations Research
... In this section, it aims to conduct a comprehensive study on recent trends, primary research directions, and accomplishments in the field of MTA problem using the visual analysis approach of the CiteSpace software 1 . It employs a general methodology that is suitable for analyzing and understanding the progression within different fields [42][43][44][45][46]. In this paper, the literature was collected from the Scopus database, and the search strategy utilized the keywords "multi-target assignment", "multi-target allocation", "weapon target assignment" or "weapon target allocation". ...
- Citing Article
June 2024
Journal of Manufacturing Systems
... Zhou and Chen [35] developed a consensus model considering the minority opinions based on weight adjustment and noncooperative behaviors based on different adjustment manners. Shang et al. [36] gave an adaptive consensus model based on the automatic strategy and interactive strategy considering decision makers' behavior diversity. Liu et al. [37] developed large-scale hesitant fuzzy linguistic group consensus model with limited budget. ...
- Citing Article
October 2023
Applied Soft Computing
... To assess the viability of the suggested MSM operators, our goal in this case is to compare the MSM operators with other AOs of PFs numerically. We apply the picture fuzzy MSM operator by Ullah [40], picture fuzzy Archimedean power MSM operator by Qin et al., [19], MAGDM based on Hesitant PF Schweizer-Sklar by Chen and Ye [23], PF cross entropy for MADM problem by Wei [41], PF theories and methodologies by Peng et al., [42] and MSM Schweizer-Sklar operator by Dong Wei Liu et al., [43]. The outcomes are displayed in Table 8. ...
- Citing Article
- Full-text available
August 2023
... The proposed method is summarized in Eqs. (1)-(3) and is based on: i) a solid conceptual framework based on intentional bounded rationality (IBR) [28,68]; ii) previous empirical evidence on probabilistic regularity in expert judgments [69][70][71][72][73][74]; iii) theories that claim the economic value of ignorance as a reference in decision-making [75,76]; iv) the theory of the economic value of additional information, which relates the expected performance of a DSS to the gain from ignorance [77][78][79][80][81]; v) the results are consistent with previous research on DSS that implicitly used the proposed method [5,29,33,57,58,82,83]; vi) Section 6 presents a detailed case study demonstrating the applicability of the model to both δ and ε problems, showing reproducible and quantifiable results. This is of interest to (1) managers and directors because it provides information on the possible gain percentages of a DSS compared to not using it and (2) researchers because it allows them to compare the efficiency of different DSSs in the same scenario and to justify increasing (or not increasing) their complexity. ...
- Citing Article
May 2023
Information Sciences
... As the market for micro-electronic and micromechanical products expands, together with the demand for small precision optical components, continuous advancements in micro-grinding technology are required. Sun et al. [115][116][117] proposed a hybrid process that combines low-speed wire electrical discharge machining with electroplating, effectively manufacturing a spiral-groove-structured grinding wheel with a diameter of less than 700 μm, as shown in Figure 8(b). In comparison with the traditional microgrinding tool, the novel microstructured grinding tool efficiently decreased the grinding force and improved the surface quality, achieving a 40% reduction in grinding force and a 20% and 15% reduction in R a and R z values of the machined sapphire workpieces, respectively. ...
- Citing Article
April 2022
Ceramics International
... Gong and his team proposed a private cloud-based information system resource management method to address the significant increase in computing resource load of medical data. By utilizing intelligent control theory to dynamically adjust resource allocation, the method effectively reduced IT costs by over 23% in experimental simulations (10). Mudawi et al. proposed an intelligent ICU patient monitoring system to optimize the monitoring process of real-time detection of patients' physical signs and timely feedback of abnormal data. ...
- Citing Article
January 2022
IEEE Transactions on Reliability
... 6. H6: User Satisfaction berpengaruh positif dan signifikan terhadap Continuance Intention dalam menggunakan layanan yang tersedia pada Aplikasi Halodoc hingga di masa depan. Berdasarkan Tabel 11, hubungan antara User Satisfaction dan Continuance Intention menunjukkan P-Values 0,000 dan T-statistics > 1,96, sehingga H6 diterima karena pengaruhnya positif dan signifikan (original sample = 0,550; T-statistics = 15,670; P-Values = 0,000), sejalan dengan penelitian Merdekawati et al. [27] dan Wu et al. [53], yang menegaskan bahwa semakin tinggi kepuasan pengguna terhadap layanan aplikasi, semakin besar keinginan untuk terus menggunakannya di masa depan; untuk meningkatkan User Satisfaction dan mendorong Continuance Intention pada Halodoc, disarankan pengembangan fitur interaktif seperti "Voice Command Integration", "Autocomplete Suggestion", "Health Tips Shorts", "Health Game", dan "HealthCheck AI" [39]; [40]; [43]; [44]; [45]; [48]; [49]; [51]; [52] serta integrasi pendekatan berbasis nilai spiritual seperti psikoterapi Islam melalui muhasabah, tawakal, dan terapi dzikir [46], yang dapat membantu pengguna dalam mengelola kesehatan mental, mengurangi kecemasan, serta membentuk pola pikir positif, sehingga kombinasi inovasi teknologi dan pendekatan spiritual ini diharapkan mampu memperkuat kepuasan pengguna dan meningkatkan keberlanjutan penggunaan aplikasi Halodoc. ...
- Citing Article
- Full-text available
January 2022
... Finally, q-rung orthopair picture fuzzy sets (q-ROPFSs) [13] combine the ideas of q-rung orthopair fuzzy sets and picture fuzzy sets. These various extensions and variations of fuzzy set theory have found numerous applications in the fields such as decision-making, image processing, and pattern recognition [14][15][16][17][18][19][20][21][22]. ...
- Citing Article
- Full-text available
April 2021
International Journal of Computers, Communications & Control (IJCCC)
... Through the introduction of big data and AI technologies into medical research and clinical practice, a new intelligent medical system incorporating data, algorithms, systems, and medical practitioners will greatly enrich the medical system. Medical big data technology has already been applied to public healthcare [10], medical information sharing [11], medical quality evaluation [12], intelligent medical management [13], medical big data protection [14], disease diagnostic modelling [15], and medical image processing [16]. ...
- Citing Article
- Full-text available
June 2021
