Picture模糊数的改进得分函数在多属性群决策中的应用

针对picture模糊环境下专家权重和属性权重信息未知的多属性群决策问题进行研究.首先,针对现有picture模糊数的得分函数存在一些不足问题,提出了一种新的得分函数.通过分析其相关性质,并与现有得分函数进行比较,说明其更具合理性,能更好地处理模糊决策信息.其次,提出了基于得分函数的picture模糊环境下的多属性群决策方法,根据每位专家给出的picture模糊评价信息的不精确程度及不同专家给出信息的差异程度,从个体和群体两方面综合得到决策者权重;利用得分函数构造不同属性的灰靶贡献度,从而确定属性权重.最后,通过实例比较分析验证了所提方法的可行性和有效性.

Picture最小二乘模糊推理算法在模式识别中的应用

目的:由于picture模糊推理全蕴涵算法和picture模糊推理五蕴涵算法所满足的还原性是有条件的还原性,我们寻找一种满足无条件还原性的picture模糊推理算法。方法:将picture模糊集转化为三维模糊集,结合最小二乘模型的思想,构建最小二乘模型的picture模糊推理算法。结果:给出基于最小二乘模型的picture模糊推理算法及其解的表示形式。结论:我们将基于最小二乘模型的picture模糊推理算法应用到模式识别,实验结果表明,本文提出的算法是合理和有效的。

An Integrated Bipolar Picture Fuzzy Decision Driven System to Scrutinize Food Waste Treatment Technology through Assorted Factor Analysis

Food Waste(FW)is a pressing environmental concern that affects every country globally.About one-third of the food that is produced ends up as waste,contributing to the carbon footprint.Hence,the FW must be properly treated to reduce environmental pollution.This study evaluates a few available Food Waste Treatment(FWT)technologies,such as anaerobic digestion,composting,landfill,and incineration,which are widely used.A Bipolar Picture Fuzzy Set(BPFS)is proposed to deal with the ambiguity and uncertainty that arise when converting a real-world problem to a mathematical model.A novel Criteria Importance Through Intercriteria Correlation-Stable Preference Ordering Towards Ideal Solution(CRITIC-SPOTIS)approach is developed to objectively analyze FWT selection based on thirteen criteria covering the industry’s technical,environmental,and entrepreneurial aspects.The CRITIC method is used for the objective analysis of the importance of each criterion in FWT selection.The SPOTIS method is adopted to rank the alternative hassle-free,following the criteria.The proposed model offers a rank reversal-free model,i.e.,the rank of the alternatives remains unaffected even after the addition or removal of an alternative.In addition,comparative and sensitivity analyses are performed to ensure the reliability and robustness of the proposed model and to validate the proposed result.

NFHP-RN:AMethod of Few-Shot Network Attack Detection Based on the Network Flow Holographic Picture-ResNet

Due to the rapid evolution of Advanced Persistent Threats(APTs)attacks,the emergence of new and rare attack samples,and even those never seen before,make it challenging for traditional rule-based detection methods to extract universal rules for effective detection.With the progress in techniques such as transfer learning and meta-learning,few-shot network attack detection has progressed.However,challenges in few-shot network attack detection arise from the inability of time sequence flow features to adapt to the fixed length input requirement of deep learning,difficulties in capturing rich information from original flow in the case of insufficient samples,and the challenge of high-level abstract representation.To address these challenges,a few-shot network attack detection based on NFHP(Network Flow Holographic Picture)-RN(ResNet)is proposed.Specifically,leveraging inherent properties of images such as translation invariance,rotation invariance,scale invariance,and illumination invariance,network attack traffic features and contextual relationships are intuitively represented in NFHP.In addition,an improved RN network model is employed for high-level abstract feature extraction,ensuring that the extracted high-level abstract features maintain the detailed characteristics of the original traffic behavior,regardless of changes in background traffic.Finally,a meta-learning model based on the self-attention mechanism is constructed,achieving the detection of novel APT few-shot network attacks through the empirical generalization of high-level abstract feature representations of known-class network attack behaviors.Experimental results demonstrate that the proposed method can learn high-level abstract features of network attacks across different traffic detail granularities.Comparedwith state-of-the-artmethods,it achieves favorable accuracy,precision,recall,and F1 scores for the identification of unknown-class network attacks through cross-validation onmultiple datasets.

顺应论视域下The Picture of Dorian Gray中译本的对比研究

The Picture of Dorian Gray是王尔德唯一一部长篇小说,小说语言唯美自然。本文从顺应论的角度出发,从语境顺应、结构顺应以及动态顺应三个方面分析孙宜学译本与荣如德译本的差异。文章发现,两译者对于自己的定位不同,即前者是源语文化的传播者,后者则是文学作品的传播者,译者的意识程度以及自身定位影响着译者采取的翻译方法,只有找准定位才能更好地翻译,获得更大的阅读价值以及参考价值。

A Study on the Values and Strategies of English Picture Book Reading for Improving Pupils’ English Reading Literacy

Reading is one of the core skills in English learning.It is indispensable for EFL learners to develop good English reading literacy in primary schools.English picture books are consistent with pupils’cognitive and thinking modes,which is valuable to improve their English reading literacy.However,at present,most Chinese pupils have some problems in English reading.The paper aims at analyzing the current problems in Chinese pupils’English reading and digging out the values and strategies of English picture book reading,so as to stimulate their reading interests,cultivate their intercultural awareness,and improve their English reading literacy.

基于FANUC PICTURE工具的FANUC数控系统HMI二次开发

FANUC PICTURE具有较强的图形显示功能,具有上手简单,开发周期短等特点,是使用最为广泛的FANUC数控系统HMI二次开发工具。本文对该开发工具进行了解析,并通过项目实例完整地展示了使用该工具进行二次开发HMI的操作。

Research on Creation Strategies of Picture Books for Children’s Cognitive and Imaginative Development

This paper discusses the creation strategies of picture books for children’s cognitive and imaginative development,and proposes that picture book creation should closely focus on the needs of children’s cognitive and imaginative development.Through analysis,this paper summarizes the effective strategies in the creation of picture books,aiming to provide theoretical reference and practical guidance for the design of children’s picture books,and further promote the comprehensive development of children’s cognitive and imaginative abilities.

区间值Picture模糊参数集结算子及其应用

针对决策信息为区间值Picture模糊数的多属性群决策问题,在充分考虑属性间相互关联的情况下,将区间值Picture模糊数与广义Heronian均值函数和Heronian平均算子结合,定义了区间值Picture模糊参数广义加权Heronian平均算子,并研究了其性质。该信息集结算子能够反映信息的完整性、属性相关性和决策者的风险偏好。然后,提出了一种基于区间值Picture模糊参数广义加权Heronian平均算子的多属性群决策模型。最后,运用本文提出的群决策模型对信息系统进行了最优选择,并与其它模型进行比较,说明所提模型的有效性和优越性。

Floyd-Warshall Algorithm Based on Picture Fuzzy Information

The Floyd-Warshall algorithm is frequently used to determine the shortest path between any pair of nodes.It works well for crisp weights,but the problem arises when weights are vague and uncertain.Let us take an example of computer networks,where the chosen path might no longer be appropriate due to rapid changes in network conditions.The optimal path from among all possible courses is chosen in computer networks based on a variety of parameters.In this paper,we design a new variant of the Floyd-Warshall algorithm that identifies an All-Pair Shortest Path(APSP)in an uncertain situation of a network.In the proposed methodology,multiple criteria and theirmutual associationmay involve the selection of any suitable path between any two node points,and the values of these criteria may change due to an uncertain environment.We use trapezoidal picture fuzzy addition,score,and accuracy functions to find APSP.We compute the time complexity of this algorithm and contrast it with the traditional Floyd-Warshall algorithm and fuzzy Floyd-Warshall algorithm.

Cayley Picture Fuzzy Graphs and Interconnected Networks

Theory of the Cayley graphs is directly linked with the group theory.However,if there are uncertainties on the vertices or edges or both then fuzzy graphs have an extraordinary importance.In this perspective,numbers of generalηizations of fuzzy graphs have been explored in the literature.Among the others,picture fuzzy graph(PFG)has its own importance.A picture fuzzy graph(PFG)is a pair G=(C,D)defined on a H^(*)=(A,B),where C=(ηC,θ_(C),■_(C))is a picture fuzzy set on A and D=(ηD,θ_(D),■_(D))is a picture fuzzy set over the set B∈A×A such that for any edge mn∈ B with ηD(m,n)≤min(ηC(m),ηC(n)),θD(m,n)≤min(θC(m),θC(n))and ■_(D)(m,n)≥max(■_(C)(m),■_(C)(n)).In this manuscript,we introduce the notion of the Cayley picture fuzzy graphs on groups which is the generalization of the picture fuzzy graphs.Firstly,we discuss few important characteristics of the Cayley picture fuzzy graphs.We show that Cayley picture fuzzy graphs are vertex transitive and hence regular.Then,we investigate different types of Cayley graphs induced by the Cayley picture fuzzy graphs by using different types of cuts.We extensively discuss the term connectivity of the Cayley picture fuzzy graphs.Vertex connectivity and edge connectivity of the Cayley picture fuzzy graphs are also addressed.We also investigate the linkage between these two.Throughout,we provide the extensions of some characηteristics of both the PFGs and Cayley fuzzy graphs in the setting of Cayley picture fuzzy graphs.Finally,we provide the model of interconnected networks based on the Cayley picture fuzzy graphs.

Picture Fuzzy Relations over Picture Fuzzy Sets

Nowadays, picture fuzzy set theory is a flourishing field in mathematics with uncertainty by incorporating the concept of positive, negative and neutral membership degrees of an object. A traditional crisp relation represents the satisfaction or the dissatisfaction of relationship, connection or correspondence between the objects of two or more sets. However, there are some problems that can’t be solved through classical relationships, such as the relationship between two objects being vague. In those situations, picture fuzzy relation over picture fuzzy sets is an important and powerful concept which is suitable for describing correspondences between two vague objects. It represents the strength of association of the elements of picture fuzzy sets. It plays an important role in picture fuzzy modeling, inference and control system and also has important applications in relational databases, approximate reasoning, preference modeling, medical diagnosis, etc. In this article, we define picture fuzzy relations over picture fuzzy sets, including some other fundamental definitions with illustrations. The max-min and min-max compositions of picture fuzzy relations are defined in the light of picture fuzzy sets and discussed some properties related to them. The reflexivity, symmetry and transitivity of a picture fuzzy relation are described over a picture fuzzy set. Finally, various properties are explored related to the picture fuzzy relations over a picture fuzzy set.

Picture-Neutrosophic Trusted Safe Semi-Supervised Fuzzy Clustering for Noisy Data

Clustering is a crucial method for deciphering data structure and producing new information.Due to its significance in revealing fundamental connections between the human brain and events,it is essential to utilize clustering for cognitive research.Dealing with noisy data caused by inaccurate synthesis from several sources or misleading data production processes is one of the most intriguing clustering difficulties.Noisy data can lead to incorrect object recognition and inference.This research aims to innovate a novel clustering approach,named Picture-Neutrosophic Trusted Safe Semi-Supervised Fuzzy Clustering(PNTS3FCM),to solve the clustering problem with noisy data using neutral and refusal degrees in the definition of Picture Fuzzy Set(PFS)and Neutrosophic Set(NS).Our contribution is to propose a new optimization model with four essential components:clustering,outlier removal,safe semi-supervised fuzzy clustering and partitioning with labeled and unlabeled data.The effectiveness and flexibility of the proposed technique are estimated and compared with the state-of-art methods,standard Picture fuzzy clustering(FC-PFS)and Confidence-weighted safe semi-supervised clustering(CS3FCM)on benchmark UCI datasets.The experimental results show that our method is better at least 10/15 datasets than the compared methods in terms of clustering quality and computational time.

Arithmetic Operations of Generalized Trapezoidal Picture Fuzzy Numbers by Vertex Method

In this article, we define the arithmetic operations of generalized trapezoidal picture fuzzy numbers by vertex method which is assembled on a combination of the (α, γ, β)-cut concept and standard interval analysis. Various related properties are explored. Finally, some computations of picture fuzzy functions over generalized picture fuzzy variables are illustrated by using our proposed technique.

Not one thing at a time:When concomitant multiple stressors produce a transdiagnostic clinical picture

A condition of exposure to multiple stressors resulting in a mixed clinical picture spanning conventional categories without meeting any of them in full,encompasses a risk for a list of comorbidities preventing appropriate prevention and treatment.New transformative transdiagnostic approaches suggest changes spanning conventional categories.They base their systems of classification on biomarkers as well as on brain structural and functional dysregulation as associated with behavioral and emotional symptoms.These new approaches received critiques for not being specific enough and for suggesting a few biomarkers for psychopathology as a whole.Therefore,they put the value of differential diagnosis at risk of avoiding appropriate derived prevention and treatment.Multiplicity of stressors has been considered mostly during and following catastrophes,without considering the resulting mixed clinical picture and life event concomitant stressors.We herewith suggest a new category within the conventional classification systems:The Complex Stress Reaction Syndrome,for a condition of multiplicity of stressors,which showed a mixed clinical picture for daily life in the post coronavirus disease 2019 era,in the general population.We argue that this condition may be relevant to daily,regular life,across the lifespan,and beyond conditions of catastrophes.We further argue that this condition may worsen without professional care and it may develop into a severe mental health disorder,more costly to health systems and the suffering individuals.Means for derived prevention and treatment are discussed.

Oxbridge Pictures in Woolf’s A Room of One’s Own

A Room of One’s Own is a masterpiece by Virginia Woolf, which describes her understanding of literary creation and the issue of women and fiction. The content of this book is based on Woolf’s two speeches at Cambridge, with the theme of “Women and fiction.” Through the analysis of the history and current situation of female literary creation, the paper points out that women should have the courage and right to fight for independent economic power and social status. “Oxbridge” is a combined term of Oxford and Cambridge, and Oxbridge pictures dominate the first chapter of A Room of One’s Own, which are the focus of this paper. Through a detailed analysis of the different indoor and outdoor pictures of Oxbridge, including nature, landscape, humanistic architecture and the “pictures” imagined in the narrator’s mind, this paper discusses the existence of Victorian women and Woolf’s feminist thoughts so as to provide possible implications for the social survival of contemporary women. The study is also concerned with Woolf’s Eco-feminism, stream of consciousness and other artistic skills.

The Tantou New Year Picture

Tantou is an ancient town in Longhui,Hunan.And the Tantou New Year Picture is a famous traditional art form.It first appeared in the Tang Dynasty.And it is mostly used for the Spring Festival.There are more than 20 steps to make it.All these steps,from making paper by hand to producing the New Year Picture,are finished in one place.That s amazing.It's very popular for its special features--bright colors,old and exagge-rated images,ordinary materials and special skills.

绘本图画叙事中的情节展示艺术探析

以叙事学理论为指导研究绘本的图画叙事、版式设计和画框调节是实现绘本图画叙事的重要手段。利用版式设计和画框变化页面中的图画形态及其关系,使绘本中的系列图画在读者的视知觉及想象中形成连贯性、叙事性,以及叙事节奏的起伏变化。

为复浮生是梦中?——虚拟现实媒介的美学逻辑与问题审视

虚拟现实与我们共在已多年,当其携数字基础设施的强大力量回归后,成为重新定义用户生活体验和所在空间视角的媒介形式,并引发了独特的美学体验。围绕这一美学体验的中心问题不是虚拟对象是否真实存在,而是虚拟现实媒介如何将我们日常的感官和知觉能力虚拟化,从而使我们在虚拟世界中具有知觉主动性。虚拟现实媒介的美学逻辑表现在沉浸式美学体验和计算美学体验上。这些体验基于计算视觉文化的支持,强调物质世界可能总是悬浮在身体、技术和审美调解之间。主体似乎在审视着一个可以随意支配的世界,但忽略了他们自身也被算作其中的一部分。虚拟现实媒介并没有使世界变得触手可及,更多地是体现了海德格尔所描述的只剩下“技术关系”的境况。

人工智能赋能劳动教育的图景展现及其实践策略

人工智能催生了新型劳动,不仅深刻改变了人类劳动的既有样态和形式,同时也使劳动教育的内在意蕴和实践路径发生了新的变化,推动劳动教育智能化转型。人工智能与劳动教育在目标追求、发展诉求、优势资源方面有着内在的契合性,人工智能赋能劳动教育创新发展,既是对劳动教育发展趋势的积极回应,也是促进劳动教育提质增效的必然选择,更是培养德智体美劳全面发展的社会主义建设者和接班人的必由之路,其能够丰富劳动教育形态、拓展劳动教育场域、优化劳动教育话语、完善劳动教育评价,推动劳动教育呈现出智慧化、协同化、可视化、个性化的理想图景。但是,由于物联网、大数据、云计算、人工智能等技术的发展隐含一定的工具理性和技术理性,人工智能不断融入劳动教育中,也会使劳动教育面临价值消减、主体错位、内容失衡、场域窄化等风险和挑战。因此,人工智能时代的劳动教育要进一步厘清和明晰“冷”与“暖”、“破”与“立”、“本”与“末”、“虚”与“实”间的理论关系,推动构成以价值导向、重要保障、内容支撑和方法选择为重点的劳动教育创新发展的现实进路,从而不断规避人工智能所带来的潜在风险和负面影响,促进劳动教育与人工智能融合创新,实现新时代劳动教育高质量发展。