Multi-hierarchical fuzzy judgment and nested dominance relation of rough set theory-based environmental risk evaluation for tailings reservoirs

Environmental risk assessment of tailings reservoir assessment system is complex and has many index factors.In order to accurately judge surrounding environmental risks of tailings reservoirs and determinate the corresponding prevention and control work,multi-hierarchical fuzzy judgment and nested dominance relation of rough set theory are implemented to evaluate them and find out the rules of this evaluation system with 14 representative cases.The methods of multi-hierarchical fuzzy evaluation can overall consider each influence factor of risk assessment system and their mutual impact,and the index weight based on the analytic hierarchy process is relatively reasonable.Rough set theory based on dominance relation reduces each index attribute from the top down,largely simplifies the complexity of the original evaluation system,and considers the preferential information in each index.Furthermore,grey correlation theory is applied to analysis of importance of each reducted condition attribute.The results demonstrate the feasibility of the proposed safety evaluation system and the application potential.

Complex adaptive system theory,agent-based modeling,and simulation in dominant technology formation

Dominant technology formation is the key for the hightech industry to“cross the chasm”and gain an established foothold in the market(and hence disrupt the regime).Therefore,a stimulus-response model is proposed to investigate the dominant technology by exploring its formation process and mechanism.Specifically,based on complex adaptive system theory and the basic stimulus-response model,we use a combination of agent-based modeling and system dynamics modeling to capture the interactions between dominant technology and the socio-technical landscape.The results indicate the following:(i)The dynamic interaction is“stimulus-reaction-selection”,which promotes the dominant technology’s formation.(ii)The dominant technology’s formation can be described as a dynamic process in which the adaptation intensity of technology standards increases continuously until it becomes the leading technology under the dual action of internal and external mechanisms.(iii)The dominant technology’s formation in the high-tech industry is influenced by learning ability,the number of adopting users and adaptability.Therein,a“critical scale”of learning ability exists to promote the formation of leading technology:a large number of adopting users can promote the dominant technology’s formation by influencing the adaptive response of technology standards to the socio-technical landscape and the choice of technology standards by the socio-technical landscape.There is a minimum threshold and a maximum threshold for the role of adaptability in the dominant technology’s formation.(iv)The socio-technical landscape can promote the leading technology’s shaping in the high-tech industry,and different elements have different effects.This study promotes research on the formation mechanism of dominant technology in the high-tech industry,presents new perspectives and methods for researchers,and provides essential enlightenment for managers to formulate technology strategies.

Multiple Institutional Dynamics of Sustainable Housing Concepts in DenmarkOn the Role of Passive Houses

One of the central challenges of sustainable transition is the changing of the buildings. This involves social, cultural,political, and regulatory dynamics. Critically using transition theory conceptualization of a world of dynamics, the paper reviews institutional theory and actor network approaches in an attempt to better account for contemporary developments in Europe, encompassing EU reforms as well as multiple competing concepts. The emergence of ＂passive houses＂ in Denmark is used as a case of transition dynamics. The concept was developed in Germany and imported into Denmark. It is a technological niche, encompassing technologies, players, improvisation, and early customers. Passive houses have entered into fierce competition with other future institutions such as LEED （Leadership in Energy and Environmental Design）, DGNB （German Sustainable Building Council）/green building council, and active houses. Passive houses were at the outset a well-developed upcoming institution with design principles, software, certification and numerous reference buildings, strong enough to be a challenger institution. They are promoted by a characteristic alliance of architects, consulting engineers, a few clients, and an architect school, whereas the other concepts exhibit their specific actor alliances. Yet passive houses experience barriers such as the reputation of being expensive and non-user friendly, and are currently surpassed by the other concepts.

Hybrid data-driven framework for shale gas production performance analysis via game theory, machine learning, and optimization approaches

A comprehensive and precise analysis of shale gas production performance is crucial for evaluating resource potential,designing a field development plan,and making investment decisions.However,quantitative analysis can be challenging because production performance is dominated by the complex interaction among a series of geological and engineering factors.In fact,each factor can be viewed as a player who makes cooperative contributions to the production payoff within the constraints of physical laws and models.Inspired by the idea,we propose a hybrid data-driven analysis framework in this study,where the contributions of dominant factors are quantitatively evaluated,the productions are precisely forecasted,and the development optimization suggestions are comprehensively generated.More specifically,game theory and machine learning models are coupled to determine the dominating geological and engineering factors.The Shapley value with definite physical meaning is employed to quantitatively measure the effects of individual factors.A multi-model-fused stacked model is trained for production forecast,which provides the basis for derivative-free optimization algorithms to optimize the development plan.The complete workflow is validated with actual production data collected from the Fuling shale gas field,Sichuan Basin,China.The validation results show that the proposed procedure can draw rigorous conclusions with quantified evidence and thereby provide specific and reliable suggestions for development plan optimization.Comparing with traditional and experience-based approaches,the hybrid data-driven procedure is advanced in terms of both efficiency and accuracy.

A Graph Theory Based Self-Learning Honeypot to Detect Persistent Threats

Attacks on the cyber space is getting exponential in recent times.Illegal penetrations and breaches are real threats to the individuals and organizations.Conventional security systems are good enough to detect the known threats but when it comes to Advanced Persistent Threats(APTs)they fails.These APTs are targeted,more sophisticated and very persistent and incorporates lot of evasive techniques to bypass the existing defenses.Hence,there is a need for an effective defense system that can achieve a complete reliance of security.To address the above-mentioned issues,this paper proposes a novel honeypot system that tracks the anonymous behavior of the APT threats.The key idea of honeypot leverages the concepts of graph theory to detect such targeted attacks.The proposed honey-pot is self-realizing,strategic assisted which withholds the APTs actionable tech-niques and observes the behavior for analysis and modelling.The proposed graph theory based self learning honeypot using the resultsγ(C(n,1)),γc(C(n,1)),γsc(C(n,1))outperforms traditional techniques by detecting APTs behavioral with detection rate of 96%.

随机多准则决策的PROMETHEE Ⅱ方法

针对随机多准则决策问题,提出了一种PROM ETHEEⅡ方法。该方法在期望效用理论的基础上将随机支配关系与PROM ETHEEⅡ方法结合,通过阈值的引入考虑了决策者的不同偏好水平,通过计算每两方案在准则上的偏好函数,得到每两方案的多准则优序度,并计算出各方案的出流、入流和净流,进而确定方案集的排序。最后,以实例说明了该方法的有效性和可行性。

A Game Theoretic Approach for a Minimal Secure Dominating Set

The secure dominating set(SDS),a variant of the dominating set,is an important combinatorial structure used in wireless networks.In this paper,we apply algorithmic game theory to study the minimum secure dominating set(Min SDS) problem in a multi-agent system.We design a game framework for SDS and show that every Nash equilibrium(NE) is a minimal SDS,which is also a Pareto-optimal solution.We prove that the proposed game is an exact potential game,and thus NE exists,and design a polynomial-time distributed local algorithm which converges to an NE in O(n) rounds of interactions.Extensive experiments are done to test the performance of our algorithm,and some interesting phenomena are witnessed.

Dominance-Based Rough Set Approach in Selection of Portfolio of Sustainable Development Projects

In our study, the Dominance-based Rough Set Approach (DRSA) has been proposed to assist the Board of Directors of the Community Futures Development Corporations (CFDC), the sub-region of Abitibi-West (Quebec). The CFDC needs a tool for decision support to select the projects that are proposed by the contractors and partners of its territory. In decision making, a balanced set of 22 indicators is considered. These indicators derive from five perspectives: economic, social, demographic, health and wellness. The DRSA proposal is suitable for the data processing with multiple indicators providing on many examples to infer decision rules related to the preference model. In this paper we show that decision rules developed with the use of rough set theory allow us to simplify the process of selecting a portfolio for sustainable development by reducing a number of redundant indicators and identifying the critical values of selected indicators.

Warhead power assessment based on double hierarchy hesitant fuzzy linguistic term sets theory and gained and lost dominance score method

Warhead power assessment of the anti-ship missile plays a vital role in determining the optimal design of missile, thus having important strategic research significance. However, in the assessment process, expert’s judgement will directly affect the assessment accuracy. In addition,there are many criteria involved in the missile design alternatives. Some criteria with poor performance may be compensated by other criteria with excellent performance, and then it is impossible to find the truly optimal alternative. Aimed at solving these problems, this paper proposes a synthetical assessment process based on fuzzy hesitant linguistic term set and the Gained and Lost Dominance Score(GLDS) method. In order to improve the assessment accuracy of experts and solve the problem that experts generate different opinions, combined with the advantages of fuzzy hesitant sets and linguistic term sets, the double hierarchy hesitant fuzzy linguistic term sets are used in this paper to improve the accuracy of expert’s judgement. In order to effectively combine expert’s experience with the data of criteria, the evidence theory and entropy weight method are used to transfer the expert’s judgement to the weight. In order to avoid selecting defective alternative of missile design, the GLDS is used to fuse expert information and criteria information. Sensitivity analysis shows that the assessment process has sensitivity to some extent. However, when the fluctuation of expert’s assessment makes the fluctuation of θ in the range of-5% to 5%, the impact on the results is not quite conspicuous. The analysis of calculation result and comparative analysis show that the assessment process proposed in this paper is accurate enough, has great advantage in selecting the current and potential optimal alternative of missile design, and avoids the alternatives with low criteria performance that cannot be compensated by other criteria being selected.

Investigation of Pirnia’s orientation theory (Roon) in Yazd Qajar houses

This paper carefully explains Pirnia’s theory regarding the orientation of traditional Iranian cities and buildings(Roon)and investigates the factors involved in this historic architectural phenomenon.For this purpose,40 traditional Yazd Qajar houses were under study.Most of which are in the Rasteh Roon and close to the southwest direction,and only five contradict the direction that Pirnia had pointed.While the primeval data indicated the theory is strengthening,the investigation followed the fundamental factors behind this event.From the perspective of analysis and discussion on involved factors(climate,topography,aqueducts,urban arteries,politics,trade routes,privacy,noise,view,and religion),it turns out that the direction of the wind and sun had negligible impacts on this orientation,and architects of the Qajar era in Yazd old city did not care about these climate factors.It seems religious factors were more influential.Thus,despite being approvingly referenced in many scientific studies,Pirnia’s orientation theory(Roon)dthe efforts of past Iranian architects to orient buildings in a specific direction due to their unique knowledge of region and climate factorsdbecomes not solid.

Study on folds of monolayer sandwiched-in different thickness terranes

The paper discussed the limitation of ’Dominant wavelengt h theory’. The theoretical model and nonhomogeneous differential equation of fold and deformation of a monolayer sandwiched-in limited and different thickn ess terranes are proposed by using mechanics of elasticity. In addition, the ′D ominant wavelength theory’ is proved by the experimental folding in elastic ma terials. The folds of a monolayer sandwiched-in limited and different thickness terranes are studied inside and are explored in the field.

Elementary Theory for Optimum Extraction of Space-Charge-Dominated Ion Beams from Plasma Boundaries

The problem of extracting space-charge-limited ion beams from spherical emission boundaries is analyzed for simple,two electrode,parallel-plate and spherical sector electrode systems by application of Langmuir-Blodgett theory with account taken for the divergent lens effect caused by the aperture in the extraction electrode.Results derived from simulation studies for the three electrode system,designed for use with the Oak Ridge National Laboratory ECR ion source,complement predictions made from elementary analytical theory with or without magnetic field in the extraction region of the source.Under minimum half- angular divergence(minimum emittance)conditions,the plasma emission boundary has an optimum curvature and the perveance,P,(i.e,current density,j+and extraction gap,d),has an optimum value for a given charge- state.From these studies,we find that the optimum perveance for any electrode system can be determined from the Child-Langmuir relation for the parallel-plate electrode system multiplied by a factor,F with value 0.49≤F≤1.

Study on Folds of Equal Thickness Multi-layerSandwiched in Different Thickness Media

The theoretical model and non-homogeneous differential equation of equal thickness multi-layer folds sandwiched in different thickness and same character media are established by elastic and plastic mechanics. The special answer of the non-homogeneous differential equation and the common answer of the homogeneous differential equation are deduced by applying logistic equation and special function, and the dominant wavelength theory of equal thickness multi-layer folds sandwiched in different thickness and same character media. In addition, the experimental folding in both elastic and sticky materials proves the dominant wavelength theory.

基于扎根理论的产业链链主企业生态主导力评价:一个量表开发

链主企业对于推动产业创新发展、产业链资源整合、产业链企业协同发展发挥至关重要的作用,具有强大的生态主导力。运用扎根理论方法进行探索式研究,从技术创新引领力、产业协作整合力、产业发展领导力3个方面构建链主企业生态主导力评价指标体系,开发相应测度量表。基于评价指标间存在的相关关系和反馈关系,运用决策试行与评价实验室(DEMATEL)以及网络分析法(ANP)构建评价模型,确定定量化指标权重参考范围,旨在为链主企业生态主导力评价和培育提供理论指导和实践指引。据此,提出完善“链主”企业培育与服务机制、持续提升产业链高质量发展的政策建议。

数字平台自我优待的反垄断规制困境与优化进路

平台企业为开拓商业疆土,通过数据垄断、流量封锁等方式优待下游市场的自营业务,实现竞争优势乃至垄断地位的跨市场传导。从本质上来看,竞争优势的传导超越一定限度即可能构成滥用,不属于合法竞争的范围。平台自我优待由于符合杠杆理论对滥用行为的共同要求,应当被纳入反垄断法的规制范围。然而,鉴于我国当前该行为违法性统一认定标准缺失、反竞争效果难以判定、正当性抗辩理由滥用三项因素模糊了自我优待的反垄断规制边界,故在重塑分析框架基础上对其有针对性展开优化,明确平台自治的合理限度,以期为规制指明未来走向。

链主企业生态主导力提升产业链韧性路径研究——以比亚迪和中国新能源汽车产业链为例

提升产业链供应链韧性和安全水平已成为新发展阶段推动我国高质量发展的关键着力点,具备生态主导力的链主企业在产业链韧性提升过程中扮演着支撑者、引领者和组织者的角色。以比亚迪和中国新能源汽车产业链为研究对象,采用扎根理论方法进行探索性单案例研究,探究链主企业生态主导力能力维度和产业链韧性提升路径。研究发现:①链主企业生态主导力包括技术创新引领能力、产业协作整合能力、数字转型赋能能力3个维度;②链主企业生态主导力通过促进产业链关键核心技术突破、产业链协同配套、产业链数字化转型3条路径提升产业链韧性,技术创新引领能力能够促进产业链关键核心技术突破,实现强链、补链,产业协作整合能力能够促进产业链协同配套,实现稳链、固链,数字转型赋能能力能够促进产业链数字化转型,实现延链、优链,从而显著提高产业链风险抵御能力、冲击恢复能力、链条升级能力。研究结论有助于拓展链主企业生态主导力与产业链韧性相关研究,为链主企业提升生态主导力和增强产业链韧性提供实践参考。

基于多元数据的夏季鸡舍环境质量评价及其对产蛋性能的影响

蛋鸡舍环境质量直接影响蛋鸡产蛋性能。为探究夏季蛋鸡舍环境质量及其对产蛋性能的影响,研究提出基于多元数据的分析方法,首先采集鸡舍内7类关键环境因子数据,按照热环境、光环境和气体环境分组,再根据改进D-S证据理论规则进行迭代融合,得到蛋鸡舍各检测点环境质量的综合评价结果,进而分析其对产蛋性能的影响。以夏季八层层叠式蛋鸡舍为试验鸡舍开展试验。结果显示:八层层叠式蛋鸡舍下四层的环境质量和平均产蛋率的最优位置均处于鸡舍前端;平均产蛋率最差的位置处于鸡舍中端,该位置环境质量综合评价结果为一般;上四层平均产蛋率最优位置为鸡舍中端,该位置环境质量综合评价结果为适宜;平均产蛋率最差位置和环境质量最差位置均为鸡舍后端(靠近风机端)。在试验鸡舍所有检测点中,平均产蛋率高于86%的检测点,环境质量综合评价结果大都为适宜,平均产蛋率低于86%的检测点,环境质量综合评价结果为一般或差,鸡舍内各检测点环境质量综合评价结果与平均产蛋率的变化趋势高度一致。该研究为准确评价蛋鸡舍环境质量,揭示蛋鸡舍环境质量对产蛋性能的影响提供了一种行之有效的方法。

竞争约束如何塑造平台相关市场?--基于反垄断案例的质性研究

相关市场界定是平台经济领域反垄断工作的起点和难点。本文基于10个平台市场和98个传统市场的反垄断案例,采用三阶段编码方法,对比分析平台市场和传统市场中从商品的替代性到市场竞争约束的传递路径,构建平台相关市场的竞争约束作用机制模型。研究发现:第一,平台资本是竞争的主体,资本的物质载体差异产生不同的价值增殖模式,在理论上形成不同的相关市场范围。第二,在流通领域,相同的使用价值追逐有限的社会需求,竞争约束表现为商品的替代性。在生产领域,不同的生产过程追逐动态的生产力水平,竞争约束表现为企业的替代性。平台的综合功能、网络效应、产消劳动和市场结构等经济特征使商品和企业的替代性分析更加复杂。第三,市场支配地位是商品的替代性和企业的替代性丧失的结果,垄断企业通过制造市场壁垒维持市场支配地位,制定高于价值的垄断价格,实现垄断利润,因而可以通过潜在竞争者约束这种垄断的市场结构。本文丰富了马克思主义理论的应用场景,为平台经济领域反垄断实务工作提供了学理支撑。

网络平台不作为的刑事归责:理据、路径及限度

网络平台能够精确匹配供需,迅速提高社会资源的配置效率,对我国社会经济的发展作出了重要贡献。但一系列案件显示,网络平台不作为与重大法益侵害之间具有因果关系。不能以“中立帮助行为论”否定网络平台不作为的刑事不法性。具有作为义务是平台成立不作为犯的前提条件,作为义务在实质上来源于行为人对“结果发生原因的支配”。网络平台作为义务的内容在相关法律法规中已有明确体现,但形式上的义务必须接受实质义务论的检验。对于网络平台的故意不作为,存在正犯与共犯两种归责路径,正犯归责的法律门槛较高,在绝大多数情况下都应从共犯角度考察其刑事责任。帮助信息网络犯罪活动罪并非立法上对帮助行为的正犯化,按照该罪对网络平台不作为进行定性仍然是对共犯归责路径的延续。具有间接帮助性质的平台不作为也应被纳入刑法的打击范围。网络平台的过失不作为不可能成立刑事犯罪。

“肾主骨”理论的藏象学说阐释及现代应用

本文从藏象学说角度探讨肾与骨的关系,利于全面地理解肾骨系统,为后续肾骨系统疾病的治疗与药物开发奠定基础。本文从“藏”出发,以脏腑理论为基础,结合中医古籍对肾与骨的描述,阐释肾与骨的关联。查找相关文献从生理与病理角度阐释“肾主骨”的科学内涵,再分析“肾主骨”研究成果在肾骨系统疾病治疗中的应用。肾与骨在中医藏象学说里关系密切,在现代认识中是生理相关,病理互及。本文综述“肾主骨”的科学内涵及现代应用,以期为临床治疗肾骨系统疾病提供科学的理论依据。