Safety Assessment of Intelligent Vehicles Considering Drivers’ Risk Perception Information Under Interval 2-tuple q-rung Orthopair Fuzzy Sets

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 112919 - 112919

Published: March 1, 2025

Language: Английский

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Giant Armadillo Optimization: A New Bio-Inspired Metaheuristic Algorithm for Solving Optimization Problems

Biomimetics, Journal Year: 2023, Volume and Issue: 8(8), P. 619 - 619

Published: Dec. 17, 2023

In this paper, a new bio-inspired metaheuristic algorithm called Giant Armadillo Optimization (GAO) is introduced, which imitates the natural behavior of giant armadillo in wild. The fundamental inspiration design GAO derived from hunting strategy armadillos moving towards prey positions and digging termite mounds. theory expressed mathematically modeled two phases: (i) exploration based on simulating movement mounds, (ii) exploitation armadillos' skills order to rip open performance handling optimization tasks evaluated solve CEC 2017 test suite for problem dimensions equal 10, 30, 50, 100. results show that able achieve effective solutions problems by benefiting its high abilities exploration, exploitation, balancing them during search process. quality obtained compared with twelve well-known algorithms. simulation presents superior competitor algorithms providing better most benchmark functions. statistical analysis Wilcoxon rank sum confirms has significant superiority over implementation 2011 four engineering proposed approach dealing real-world applications.

Language: Английский

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Evaluating Green Technology Innovation Capability in Intelligent Manufacturing Enterprises: A $Z$-Number-Based Model

IEEE Transactions on Engineering Management, Journal Year: 2024, Volume and Issue: 71, P. 5391 - 5409

Published: Jan. 1, 2024

Green technology innovation (GTI) capability plays an important role in realizing the sustainable development of intelligent manufacturing (IM) industry. Extensive research has addressed evaluation GTI capability. However, existing models primarily include either qualitative or quantitative indexes. Rarely do they integrate both types indexes simultaneously. To address this gap, we establish two index system from perspective core competitiveness. Then, propose concept interval linguistic $Z$ -number vector (ILZNV) based on to represent notation="LaTeX">$n$ -dimensional uncertain information evaluation. Subsequently, theories regarding ILZNVs, including normalization, operational rules, comparison method, and distance measure, are discussed. We also a method for unifying data by converting numerical values ILZNVs. After determining decision makers' combined weights attribute weights, multiattribute group decision-making model is developed using operators MULTIMOORA The then applied evaluate IM enterprises. Comparative analysis demonstrates effectiveness superiority proposed method. Finally, present several managerial theoretical implications.

Language: Английский

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Selective disassembly sequence planning under uncertainty using trapezoidal fuzzy numbers: A novel hybrid metaheuristic algorithm

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 128, P. 107459 - 107459

Published: Nov. 22, 2023

Language: Английский

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Crashworthiness of nested corrugation square energy-absorbing tubes with circumferentially cosine profile

Mechanics of Advanced Materials and Structures, Journal Year: 2023, Volume and Issue: 31(26), P. 8325 - 8342

Published: Sept. 27, 2023

AbstractWith the development of railway technology, high-speed trains have been invested in practical operation increasingly. The traffic accident that train runs at high speed will cause casualties and property losses. energy absorption tube can effectively alleviate damage vehicle collision process protect passengers buffering process. In this paper, nested corrugation square energy-absorbing tubes (NCSTs) with circumferentially cosine profile different inner structures are analyzed by adopting finite element (FE) simulation. quasi-static compression tests proposed theoretical model based on Simplified Super Folding Element (SSFE) theory employed to validate effectiveness numerical models. simulation results indicates crushing modes possess certain sensitiveness cross-sectional conformation NCSTs present more stable orderly deformation compared non-nested tubes. specific (SEA) force efficiency (CFE) NCST be increased 52.49 19.07% ordinary tube, respectively. addition, two-layers octagonal wall (SO1D) is selected as optimal structure because it ranked first under cases 40% technique for order preference similarity ideal solution (TOPSIS) method. Finally, sensitivity analyses SO1D conducted. show parametric variation trib tout fairly effect pattern. And increases thickness t section size middle Dmid all result initial peak (IPCF) significant other crashworthiness criteria. This paper offers reference significance study structures.Keywords: Nested tubescosine corrugationcrashworthinessnumerical simulationtheoretical prediction Disclosure statementNo potential conflict interest was reported author(s).Data availability data used research described article.Additional informationFundingThe work supported National Natural Science Foundation China [grant number 52105523, 52075553]; Shandong ZR2021QE249]; Hunan Distinguished Young Scholars 2021JJ10059]; Postgraduate Scientific Research Innovation Project Province numbers QL20220042]; First Batch 2021 MOE PRC Industry-University Collaborative Education Program 202107ZCJG05, Kingfar-CES 'Human Factors Ergonomics' Program].

Language: Английский

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Experimental study on crashworthiness and lightweight of cutting-type energy-absorbing structure of magnesium alloy for trains

Engineering Structures, Journal Year: 2023, Volume and Issue: 301, P. 117287 - 117287

Published: Dec. 14, 2023

Language: Английский

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Determining the appropriate natural fibers for intelligent green wearable devices made from biomaterials via multi-attribute decision making model

Heliyon, Journal Year: 2024, Volume and Issue: 10(2), P. e24516 - e24516

Published: Jan. 1, 2024

Intelligent and green wearable technology becomes essential for new modern societies. This work introduces a multi criteria decision making model to properly assess compare relative desired selecting the most suitable constituents body bio-products made from bio-based materials. It aims enhance sustainability of intelligent devices by providing support in selection process lightweight, eco-friendly materials personal natural fiber composites improve qualities that may help better monitoring human vital signs thereby address health care concern. The intrinsic characteristic merits various fibers were utilized evaluate their performance bio-composites. considered several evaluation factors like mechanical including tensile strength modulus elasticity, comfortability size weight, availability, orientation, cellulose content, cost. Results have demonstrated different priorities each factor. However, was capable evaluating ranking best whole conflicting simultaneously. closeness cases emphasizes upon using such models be able judge applications. can also designers avoid bias during determining alternatives considering criteria.

Language: Английский

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Combined Rough Sets and Rule-Based Expert System to Support Environmentally Oriented Sandwich Pallet Loading Problem

Energies, Journal Year: 2025, Volume and Issue: 18(2), P. 268 - 268

Published: Jan. 9, 2025

A sandwich pallet loading problem represents a significant challenge in the logistics of fast-moving consumer goods (FMCG), requiring optimisation load units (LUs) arrangements to minimise their number transportation and warehousing processes, leading an environmental responsibility organisations. This study introduces innovative approach combining Dominance-Based Rough Set Theory (DRST) with rule-based expert system improve efficiency provide sustainable development. Key criteria attributes for LU assessment, such as weight, height, fragility, are defined. DRST is utilised classify these units, leveraging its capability handle imprecise vague information. The ensures optimal arrangement LUs by considering critical control parameters, thereby reducing numbers mitigating impact operations, measured energy consumption. proposed validated using real-world data from FMCG distribution company. Results demonstrate that integrating improves decision-making consistency significantly reduces LUs. shows way increase level organisation cutting consumption delivering economic social benefits through fewer shipments. For example, customer order delivery 40%, 0.60 0.36 (kWh/pskm).

Language: Английский

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An Overlap Function-Based Three-Way Model in Interval-Valued Hesitant Fuzzy Information Systems: A Case Study in Mine Siting

International Journal of Fuzzy Systems, Journal Year: 2025, Volume and Issue: unknown

Published: March 5, 2025

Language: Английский

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A Hybrid Prospect–Regret Decision-Making Method for Green Supply Chain Management Under the Interval Type-2 Trapezoidal Fuzzy Environment

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3323 - 3323

Published: April 8, 2025

The concept of green supply chain management (GSCM) describes how to reduce the negative impact on environment while balancing economic and social benefits a company being in chain. Selecting optimal multi-dimensional GSCM scheme, typical multi-criteria decision-making (MCDM) problem, is crucial step implementing concept. Therefore, this paper constructs index system for comprehensive analysis important influencing factors GSCM. Then, cross-entropy combining interval type-2 trapezoidal fuzzy set (IT2TFS) adopted determine weight distribution indices, hybrid MCDM method integrating IT2TFS prospect–regret proposed analyze psychological behaviors decision makers who are selecting best scheme. Moreover, case study, comparative analysis, sensitivity presented verify effectiveness reasonableness method. results affirm validity method, with A4 identified as demonstrating its applicability problems.

Language: Английский

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