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International journal of general systems
Gordon and Breach Science Publishers
International journal of general systems

Gordon and Breach Science Publishers

不定期

0308-1079

International journal of general systems/Journal International journal of general systemsAHCISCIISSHPEIISTP
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    Logistics service decision for e-commerce supply chain with fairness concern under uncertain environment

    Lin ChenYuanling WangLi ZengJuncheng Jiang...
    1-36页
    查看更多>>摘要：In this paper, we construct a two-echelon supply chain composed of an e-commerce platform and a manufacturer. We investigate the impact of manufacturer’s fairness concern (MFC) on e-commerce supply chain logistics service decisions under an uncertain environment. Given the uncertainty of the market environment, we depict unit cost of product and logistics service elasticity as uncertain variables. We construct four game-theoretical models, i.e. the manufacturer or the platform undertakes logistics service without and with considering the MFC, and compare the equilibrium solutions through numerical analysis. The results demonstrate that providing logistics services through an e-commerce platform increases the profits of all supply chain participants, regardless of whether the MFC is considered or not. Furthermore, we discover that the manufacturer will not always benefit from the MFC, the MFC can decrease the expected profits of supply chain participants. Interestingly, an increase in the level of environmental uncertainty does not necessarily imply a threat to the interests of supply chain participants. Under an uncertain environment, every supply chain participant needs to consider its fairness concern behavior and coordinate with logistics service strategies.
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    ?-valued variable precision rough sets

    Ayat A. TemrazKamal El-Saady
    37-70页
    查看更多>>摘要：In this study, we focus on exploring a novel rough sets model, $ \mathbb {L} $ L -valued variable precision rough sets, employing a complete residuated lattice within the context of residuated lattices to offer an expansive perspective on lattice truth values. This model comprises three main elements: $ \mathbb {L} $ L -fuzzy set $ \mathbb {H} $ H representing the universal set, an $ \mathbb {L} $ L -valued relation on $ \mathbb {H} $ H , and an $ \mathbb {L} $ L -fuzzy subset of $ \mathbb {H} $ H . Also, the classical $ \mathbb {L} $ L -fuzzy rough set, $ \mathbb {L} $ L -valued fuzzy rough set, and $ \mathbb {L} $ L -fuzzy variable precision rough sets can be regarded as special cases of this model. Moreover, through constructive approaches, this paper comprehensively characterizes $ \mathbb {L} $ L -valued variable precision rough sets. Finally, we examine the connection between an $ \mathbb {L} $ L -quasi-topology and $ \mathbb {L} $ L -valued variable precision rough sets on the $ \mathbb {L} $ L -set $ \mathbb {H} $ H .
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    Adaptive finite-time neural control of nonstrict-feedback nonlinear systems with input dead-zone and output hysteresis

    Mohamed KharratHadil Alhazmi
    71-94页
    查看更多>>摘要：This paper explores the adaptive finite-time neural control issue for nonlinear systems with input dead zone and output hysteresis in nonstrict-feedback form. The unknown functions are estimated by employing the radial basis function neural networks (RBFNN) approach. A systematic adaptive finite-time control method is introduced using the backstepping technique and neural network approximation properties. The stability of the system is also examined by using semi-global practical finite-time stability theory. The established control approach guarantees the boundedness of all signals within the closed-loop system, enabling the system output to accurately follow the desired signal within a finite time framework while maintaining a small and bounded tracking error. Finally, simulation results are shown to demonstrate the efficacy of the suggested strategy.
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    Determining capacity flexibility of the urban transit network under different transit operation conditions

    Hang ZhaoRong JiangWangtu Xu
    95-122页
    查看更多>>摘要：This paper proposes the capacity flexibility models of transit networks to describe the ability of urban transit networks to accommodate the changes in passenger demands. In order to keep the variations of the average passenger travel time in a reasonable way, the concept of coefficient of variation (CoV) is introduced to measure and limit the deviation from a baseline time of the average passenger travel time. The CoV could transform the capacity flexibility values to non-dimensional form in order to compare the capacity flexibility characteristics of different scale transit networks on an equal basis. The genetic algorithm with deep search (GA-DS) for this problem is proposed to find the approximating optimal solution of the capacity flexibility models more effectively. The algorithm has been tested with benchmark problems reported in the existing literature. The optimal solution of the flexibility models shows that the flexibility values are further improved by reducing the number of stops for transit routes under different transit operation conditions. At last, the influence factors of the capacity flexibility of transit systems are discussed to address reliable transit services.
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    Ground replenishment strategy optimization of LEO satellite constellations considering performance degradation

    Meilin WenPeixuan LiYueqi LiTianpei Zu...
    123-144页
    查看更多>>摘要：This paper optimizes a ground replenishment strategy for large-scale LEO satellite constellations, aiming for ensuring high economic efficiency and performance requirements. Firstly, the uncertainties of influential elements are analyzed and satellite lifetime distributions are estimated to determine satellite operating statuses. Secondly, satellite statuses are used for obtaining real-time constellation status and simulating data package transmission paths. Performance degradation function is then derived by selecting time delay as the key performance. To confront with the performance degradation, an optimization model of ground replenishment strategy is established with the objective of minimizing the overall replenishment cost under the time delay and loading capacity constraints. The model is solved by a Dichotomous-domain algorithm. Finally, a case study of a large-scale STARLINK constellation is adopted to validate the effectiveness of the model and sensitivity analyses are conducted to verify its robustness.
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    Idempotent uninorms on bounded lattices with at most single point incomparable with the neutral element: Part I

    Andrea Mesiarová-ZemánkováRadko MesiarYong SuZhudeng Wang...
    145-163页
    查看更多>>摘要：We discuss the structure of idempotent uninorms defined on bounded lattices such that the set of all points incomparable with the neutral element contains at most one point. We show that the structure of idempotent uninorms on lattices with one point incomparable with the neutral element is much more complex than the structure of those defined on lattices where all points are comparable with the neutral element. In Part I of this two-part paper, we completely characterize idempotent uninorms defined on bounded lattices such that all points are comparable with the neutral element. Moreover, we show some basic properties and observations on idempotent uninorms on bounded lattices with one point incomparable with the neutral element and we completely characterize the class of internal uninorms on such lattices. In Part II, we will characterize two special classes of idempotent uninorms defined on bounded lattices with one point incomparable with the neutral element, including idempotent uninorms with annihilator incomparable with the neutral element, and by the composition of these special cases, we will show the complete characterization of idempotent uninorms on such lattices.
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    Idempotent uninorms on bounded lattices with at most a single point incomparable with the neutral element: Part II

    Andrea Mesiarová-ZemánkováRadko MesiarYong SuZhudeng Wang...
    164-197页
    查看更多>>摘要：ABSTRACT This is the second part of a two-part paper which discusses the structure of idempotent uninorms on bounded lattices such that the set of all points incomparable with the neutral element contains at most one point. In Part I we have completely characterized idempotent uninorms on bounded lattices such that all points are comparable with the neutral element. Moreover, we have shown some basic properties and observations on idempotent uninorms on bounded lattices with one point incomparable with the neutral element and we have completely characterized the class of internal uninorms on such lattices. In the present Part II we characterize two special classes of idempotent uninorms on bounded lattices with one point incomparable with the neutral element, including idempotent uninorms with annihilator incomparable with the neutral element, and by composition of these special cases we show the complete characterization of idempotent uninorms on such lattices.
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    A graphical method to determine robust stabilizing region of FOPID controllers for stable/unstable fractional-order plants with interval uncertainties of a fractional order and model coefficients

    Majid GhorbaniBaris Baykant AlagozAleksei TepljakovEduard Petlenkov...
    198-217页
    查看更多>>摘要：This paper focuses on robustly stabilizing stable and unstable fractional-order plants with one uncertain fractional-order term and interval uncertainties using fractional order $ PI^{\mu }D^{\lambda } $ PIμDλ controllers. Two necessary and sufficient conditions are provided to check the robust stability of the closed-loop control system. Moreover, the D-decomposition technique is utilized to determine the robust stability region of the system. Subsequently, evolutionary algorithms, such as the Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Differential Evolution (DE), can be utilized to discover a fractional-order controller within the region of robust stability. This work introduces three primary contributions, outlined as follows: (1) Utilizing a graphical approach, a set of stabilizing controller is obtained. (2) Rather than employing just a single stabilizing fractional-order controller, a collection of controllers is provided for the control system. (3) Employing evolutionary algorithms to find an optimal fractional-order controller. Finally, four numerical examples are presented to validate the results.
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    Set-membership state estimation for time-varying complex networks: two zonotopic design methods

    Mengyuan YaoDongyan ChenJun HuNing Yang...
    218-239页
    查看更多>>摘要：This article studies the zonotopic set-membership state estimation problem for linear time-varying complex networks with unknown-but-bounded (UBB) noises, where the UBB noises are contained by a set of zonotopes. The objective of the addressed problem is to give two design methods, namely the correction matrix method and the state observer method, where a time-varying zonotopic sequence containing all possible states of the system is obtained. The expressions of the correction matrix and the observer gain are given under the F-radius criterion, and the desired minimum zonotopes are obtained. In addition, a state observer based on the measured output at the current moment is designed to analyze the equivalence between the above two methods. Finally, in order to demonstrate the effectiveness of the proposed state estimation algorithms, two simulation examples are presented.
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    Prioritization of sustainable development plannings for supply chain finance using a novel Triangular neutrosophic-based TOPSIS-CPT-VIKOR model

    Peiwen WangChun-Yong HuangZhi-Ping Fan
    240-270页
    查看更多>>摘要：The development of sustainable supply chain finance (SSCF) promotes the improvement of the long-term production and operational performance of enterprises. It is significant to explore both environmentally friendly and cost-effective solutions, especially in the presence of uncertain information. The triangular neutrosophic number (TrNN) can enable decision-makers (DMs) to express their preferences in high uncertainty. This paper aims to provide a systematic multiple-attribute group decision-making (MAGDM) framework to support DMs in prioritizing sustainable development plannings by combining the best-worst method (BWM), optimization model of maximizing deviation method, and uniformity entropy theory. Moreover, a TrNN-based extended TOPSIS method is developed to measure the differences in DMs’ importance. We incorporate the cumulative prospect theory (CPT) method to account for DMs’ psychological behaviors in risk scenarios. The CPT-VIKOR methodology is employed to rank alternatives, enhancing the precision of decision-making. Finally, the proposed approach is successfully applied to the LNG industry to illustrate its applicability.
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