Wind Power Bidding Strategy Based on the Minimax Regret Criterion with Limited Distribution Information

In optimal wind bidding strategy related literatures, it is usually assumed that the full distribution information (for example, the cumulative distribution function or the probability density function) of wind power output is known. In real world applications, however, only very limited distribution information can be obtained. Therefore, the “optimal bidding strategy” obtained based on the hypothetical distribution may be far away from the true optimal one. In this paper, an optimal bidding strategy is obtained based on the minimax regret criterion. The salient feature of the new approach is that it requires only partial information of wind power distribution, for example, the expectation and the support set. Numerical test is then performed and the results suggest that the method established in this paper is effective.

Multi-Attribute Selection Procedures Based on Regret and Rejoice for the Decision-Maker

Feelings influence human beings’decision-making;therefore,incorporation of feeling factors in decision-making is very important.Regret and rejoice are very important emotional feelings that can have a great impact on decision-making if they are considered together.While regret has received most of the attention in related research,rejoice has been less considered even though it can greatly influence people’s preferences in decision-making.Furthermore,systematically incorporating regret and rejoice in the multicriteria decision-making(MCDM)modeling frameworks for decision-making has received little research attention.In this paper,we introduce a new multiattribute selection procedure that incorporates both regret and rejoice to select the best choice.We utilize the positional advantage operator concept to develop regret and rejoice mathematical equations,and prove them.The proposed MCDM procedure that incorporates these two emotional factors offers a decision-maker the flexibility to trade off some benefits in order to gain a state of psychological satisfaction.More specifically,regret and rejoice are presentedmathematically to enable the decision-maker to determine the values of regret and rejoice,and then make the decision in which the rejoice value is higher than the regret value.To test the performance of this new procedure,we apply it to three numerical examples proposed in previous works.The results are matched with those obtained by other methods such as the regret model,VIKOR,PROMETHEE I,and PROMETHEE II,thereby proving the efficacy of the new procedure.

On Translation Strategies of C-E Translation of The Everlasting Regret from“Three Beauties”Principle

Tang poetry can be described as the treasure of Chinese culture.For a long time,both domestic and foreign scholars have devoted themselves to disseminating the immortal Chinese cultural heritage and have made great contributions to the translation of classical poetry.The Everlasting Regret is one of the excellent narrative poems in Chinese classical poetry.It is highly valued by many translators."Three Beauties" principle are the principles of po­etry translation proposed by Mr.Xu Yuanchong,in his work On Chinese Verse in English Rhyme.On the basis of the"Three Beauties" principle and translation version of Mr.Xu Yuanchong's The Everlasting Regret,this paper analyzes how to achieve the beauty in sense,sound and form in translation,aiming at providing some reference methods for the translation of Chinese classical poetry.

要他们道歉真的好难——谈“regret”,“sorry”和“apologize”的政治语辞区别

道歉是违背国际法义务的国际法主体对受害方的损害予以精神上的补偿所采取的法律责任形式。《奥本海国际法》指出:"不法行为者方面的正式道歉通常是必要的。"然而,自诩"文明世界"的美国却对其屡屡损害他国及其人民的权利和利益的行为拒不作出道歉。同样,其国民彬彬有礼的日本至今仍迟迟不对其侵略亚洲的历史事实作出诚恳的正式书面道歉。从美国对其他主权国家及人民的侵害并拒绝为之道歉的案例和日本对其侵略史所采取的否定、美化、甚至是颠倒黑白的态度与言行看美国、日本在对待其造成的对他国主权和人民利益受损的问题上难得作出道歉的个中缘由。

论王安忆长篇小说中的物象书写——以《长恨歌》《天香》《考工记》为例

为探讨王安忆文学作品中“物”的书写方式、文化意蕴及对新时期文学发展的贡献,选取王安忆的《长恨歌》《天香》《考工记》三部长篇小说为研究对象,采用文本分析与文化解读的方法,深入阐述王安忆在物象书写上的独特艺术手法。王安忆笔下的“物”不仅是物质形态的存在,更是承载着个人情感与历史记忆的象征符号,展现了其深刻的审美追求和社会关怀。王安忆的“物”意识体现了她对传统文化的深刻理解和创新表达,对促进当代文学创作具有重要意义。

Three-Way Behavioral Decision Making With Hesitant Fuzzy Information Systems:Survey and Challenges

Three-way decision(T-WD)theory is about thinking,problem solving,and computing in threes.Behavioral decision making(BDM)focuses on effective,cognitive,and social processes employed by humans for choosing the optimal object,of which prospect theory and regret theory are two widely used tools.The hesitant fuzzy set(HFS)captures a series of uncertainties when it is difficult to specify precise fuzzy membership grades.Guided by the principles of three-way decisions as thinking in threes and integrating these three topics together,this paper reviews and examines advances in three-way behavioral decision making(TW-BDM)with hesitant fuzzy information systems(HFIS)from the perspective of the past,present,and future.First,we provide a brief historical account of the three topics and present basic formulations.Second,we summarize the latest development trends and examine a number of basic issues,such as one-sidedness of reference points and subjective randomness for result values,and then report the results of a comparative analysis of existing methods.Finally,we point out key challenges and future research directions.

Corrigendum to “Verification of a laboratory-based dilation model for in situ conditions using continuum models” [J Rock Mech Geotech Eng6 (2014) 522e534]

The authors regret that the photographic image in Fig. 4a of the published article was used in error, and therefore without proper referencing or permission from the originator or copyright holder. The image used in Fig. 4a of the original manuscript has been previously published by and remains under copyright by the Society for Mining, Metallurgy, and Exploration, Inc. (SME) associated with the following paper.Moalli S, Redmond S, Brox D, Procter P, Jezek D, van der Pouw Kraan M, Blanchet R, Kulka R. TBM Tunneling at the Ashlu Hydro Power Project, Squamish, BC. In: Almeraris G, Mariucci B. editors. Proceedings of Rapid Excavation and Tunnelling 2009. The Society for Mining,Metallurgy, and Exploration, Inc. (SME). 2009. pp. 1208e1217.To correct this error though this Corrigendum, Fig. 4 in this article is replaced with the following set of images. The caption remains unchanged from the original but is included here for convenience and clarity.

Retailer' Order Problem When Regret Factor is Considered

Traditional expected utility theory suggests that decision-makers are completely rational,but a large number of experiments and empirical studies have shown that decision-makers will be influenced by their perception of psychological and other factors,is bounded rationality when making decisions.This paper will be based on regret theory,considering the influence of retailer’regret factor on their order quantity in a single cycle,and providing corresponding measures which supplier can take to weaken the influence of retail regret.

Stability of Generalized Minimax Regret Equilibria with Scalar Set Payoff

In this paper, we first introduce the notion and model of generalized minimax regret equilibria with scalar set payoffs. After that, we study its general stability theorem under the conditions that the existence theorem of generalized minimax regret equilibrium point with scalar set payoffs holds. In other words, when the scalar set payoffs functions and feasible constraint mappings are slightly disturbed, by using Fort theorem and continuity results of set-valued mapping optimal value functions, we obtain a general stability theorem for generalized minimax regret equilibria with scalar set payoffs. At the same time, an example is given to illustrate our result.

Bayesian Set Estimation with Alternative Loss Functions: Optimality and Regret Analysis

Decision-theoretic interval estimation requires the use of loss functions that, typically, take into account the size and the coverage of the sets. We here consider the class of monotone loss functions that, under quite general conditions, guarantee Bayesian optimality of highest posterior probability sets. We focus on three specific families of monotone losses, namely the linear, the exponential and the rational losses whose difference consists in the way the sizes of the sets are penalized. Within the standard yet important set-up of a normal model we propose: 1) an optimality analysis, to compare the solutions yielded by the alternative classes of losses;2) a regret analysis, to evaluate the additional loss of standard non-optimal intervals of fixed credibility. The article uses an application to a clinical trial as an illustrative example.

The effects of attributes and buyer regret on overall satisfaction

The current study represents an attempt at exploring product attribute, service attribute evaluation, and buyer regret influence overall satisfaction in the buyer decision context. The data used in the project were collected as part of a large study of buyer regret. The sampling frame consisted of automobile purchases in Taiwan We have collected yield 600 questionnaires, by screening out 44 questionnaires, including those missing value or incomplete answer, and finally a usable sample of 556 questionnaires were utilized in this study. The results reinforce the finding form early research that the concept of buyer regret plays an important role for automobile purchases in the buyer decision. Results show that higher evaluations of service and product attributes lead to less buyer regret, and lower buyer regret will likely to increase overall satisfaction. Specifically, the finding indicates that buyer regret mediates the effects of the attributes on overall satisfactions. Implications for marketing theory and practitioners are discussed, and possible directions for future research are sketched.

Maximum Group Perceived Utility Consensus Models Considering Regret Aversion

In the consensus-reaching process(CRP),the actual utility of decision-makers(DMs)is often influenced by the psychological behavior of regret aversion.However,the influence of regret aversion on DMs’utilities is rarely taken into account in the existing consensus models.The consensus-reaching problem of DMs with regret aversion is explored to maximize their perceived utilities under a limited budget.Firstly,three basic types of perceived utility functions are constructed based on the regret theory to describe the perceived utility of DMs with various preferences.Then,considering the limited budget and individual regret aversion,the maximum perceived utility consensus models based on types of left-skewed,right-skewed,middle-skewed,and heterogeneous utility preferences are proposed to achieve the consensus that maximizes the group perceived utility.After that,an example of land-transfer price negotiation in China is given to illustrate the validity of the proposed models.Finally,the model comparison and the sensitivity analysis are presented to reveal the influence of DMs’regret aversion on the CRP.The results suggest that the DMs’regret aversion will not affect left-skewed and right-skewed groups,but will affect the consensus results of middle-skewed and heterogeneous groups.

Optimization of Critical Systems for Robustness in a Multistate World

Critical systems are typically complex systems that are required to perform reliably over a wide range of scenarios, or multistate world. Seldom does a single system exist that performs best for all plausible scenarios. A robust solution, one that performs relatively well over a wide range of scenarios, is often the preferred choice for reduced risk at an acceptable cost. The alternative with the maximum expected utility may possess vulnerabilities that could be exploited. The best strategy is likely to be a hybrid solution. The von Neumann-Morgenstern Expected Utility Theory (EUT) would never select such a solution because, given its linear functional form, the expected utility of a hybrid solution cannot be greater than that of every constituent alternative. The continuity axiom and the independence axiom are assessed to be unrealistic for the problem of interest. Several well-known decision models are analyzed and demonstrated to be potentially misleading. The linear disappointment model modifies EUT by adding a term proportional to downside risk;however, it does not provide a mathematical basis for determining preferred hybrid solutions. The paper proposes a portfolio allocation model with stochastic optimization as a flexible and transparent method for defining choice problems and determining hybrid solutions for critical systems with desirable properties such as diversification and robustness.

The Influence Factors on Regret Emotion Responsibility and Perceived Control

When people realize or imagine that ＂if you have not taken the same choices as before, the result will be better＂, which kind of experience is called a regret emotion. The purpose of this study is to prove the relationship between regret emotions and a sense of responsibility and control. The results show that the individual＇s sense of responsibility and regret that there is a positive correlation and there is a negative correlation between the control and regret, which is not match the previous part of the study so as to be further explored. At the same time, we found that the regret tendencies in the personality can be explained as some of the regret experiencing in the specific situation. When people realize or imagine that ＂if the choice is not the same as before that things are getting better now＂, they will feel regret.

Minimum Regret Climate Policy with Act-Then-Learn Decision-A New Model Framework under Long-Term Uncertainties

The technology investment strategy under uncertainty is the key subject. However, the expected utility maximization often employed as the decision process fails to consider the high risk with low probability cases. On the other hand, the existing min-max regret strategy tends to be dominated by the ＂worst assumption＂ regardless of its probability. This research proposes a new framework by formulating the regret by the Minkowski＇s generalized distance. The authors then apply the formulation to the IAM （integrated assessment model） MARIA. This study focuses on the uncertainties of CCS （carbon capture and storage） costs and the global warming damages. This formulation is then extended to the multi-stage decision frame, known as ATL （act-then-learn） method. The simulation results suggest that the substantial changes in CCS and nuclear deployment strategies depending on the future uncertainty scenarios. The results also suggest that the minimum regret strategy favors the capital accumulation in the early stage.

动量余弦相似度梯度优化图卷积神经网络

传统梯度下降算法仅对历史梯度进行指数加权累加,没有利用梯度的局部变化,造成优化过程越过全局最优解,即使收敛到最优解也会在最优解附近震荡,其训练图卷积神经网络会造成收敛速度慢、测试准确度低。利用相邻两次梯度的余弦相似度,动态调整学习率,提出余弦相似度梯度下降(SimGrad)算法。为进一步提升图卷积神经网络训练的收敛速度和测试准确度,减少震荡,结合动量思想提出动量余弦相似度梯度下降(NSimGrad)算法。通过收敛性分析,证明SimGrad算法、NSimGrad算法都具有O(√T)的遗憾界。在构建的三个非凸函数进行测试,并结合图卷积神经网络在四个数据集上进行实验,结果表明SimGrad算法保证了图卷积神经网络的收敛性,NSimGrad算法进一步提高图卷积神经网络训练的收敛速度和测试准确度,SimGrad、NSimGrad算法相较于Adam、Nadam具有更好的全局收敛性和优化能力。

教学遗憾及其应对策略

教学遗憾是指教师在遵守教学规律的前提下,竭尽所能地开展教学活动后仍发现现实教学与理想教学之间存在差距而引发的一种后悔感,以及渴望进一步优化教学的迫切感。它不等于且不包含教学失误。教学失误是教学科学层面上的一个事实性存在,表明教师的教学存在问题,而教学遗憾则是教师教学艺术层面上的一种心理状态,表明教师在追求卓越教学。教学遗憾若为教师所意识与所重视,便能助力教师的深度发展,促成美好的教学生活,达致教学的卓越境界。其生成的前提是理想教学的无限性,生成的基础是教学过程的开放性,生成的关键是教师发展的蝶化性。教学遗憾虽具有重要价值,但教师不能故意制造遗憾,也不能有意回避遗憾。为更好地发挥教学遗憾的价值,教师应转变教学观念,理性地认识遗憾;释放教学想象,敏锐地发现遗憾;注重教学反思,深入地分析遗憾;善于教学探索,坚守学生立场、把守学习立场、恪守学科立场,持续地转化遗憾。

矿工安全行为的群体演化和干预策略研究:基于多智能体仿真分析

随着我国多数矿山企业正实现从“系统智能化”向“智能系统化”的跨越,矿工群体逐渐呈现知识化、年轻化的特征。为推进矿工安全行为管理,结合后悔理论构建了包含情绪反应的矿工安全行为决策模型,并制定了考虑矿工风险偏好异质性的互动规则,通过多智能体仿真的方法,探讨了正念和警示两类事前干预策略下矿工群体安全行为的演化路径。结果表明,仅靠处罚这一事后控制手段并不能有效促进矿工选择安全行为;在事前干预策略中,正念策略比警示策略更有利于促进矿工的安全行为,且这两种策略具有协同效应。此外,矿工之间的互动强度会影响安全行为决策,连结的邻居数量越多,邻居更新越快,矿工会越倾向选择不安全行为。最后,在陕西榆林某矿山企业开展了现场实验,实证检验了正念策略和警示策略对矿工安全行为的激励作用。

共享决策在复发性胶质瘤病人中应用的研究进展

对胶质瘤复发病人面临的决策挑战和共享决策的实施途径进行文献回顾,总结归纳了包括病人、决策时机、医护人员及社会文化背景因素共享决策实施的障碍因素,提出了以病人为中心研制决策辅助工具、加强多学科合作、发挥专科护士的决策辅导作用的建议,以期提高复发性胶质瘤决策质量,减少决策后悔。