Many Kinds of Reserved Judgement in No-Data Problem

The reserved judgment can be broadly categorized into three types: Re-Do, Re-Set, and Natural Flowing Case (i.e. step by step in Re-Try). Hori et al. constructed the Bayes-Fuzzy Estimation and demonstrated that system theory can be applied to the possibility of Markov processes, and that decision-making approaches can be applied to sequential Bayes estimation. In this paper, we focus on the Natural Flowing Case within reserved judgment. Here, the possibility of oblique (or principal) factor rotation is considered as a part of the tandem fuzzy system that follows step by step for sequential Bayes estimation. Ultimately, we achieve a significant result whereby the expected utility can be calculated automatically without the need to construct a utility function for reserved judgment. There, this utility in Re-Do can be calculated by the prior utility, and that utility in Re-set does not exist by our research in this paper. Finally, we elucidate the relationship between fuzzy system theory and fuzzy decision theory through an applied example of Bayes-Fuzzy theory. Fuzzy estimation can be applied to only normal making decision, but it is impossible to apply abnormal decision problem. Our Vague, specially Type 2 Vague can be applied to abnormal case, too.

SPOT BEAM JUDGEMENT ALGORITHM IN LEO SATELLITE BASED ON OPNET

Low earth orbit（LEO）satellite constellation networks have a predominance of global coverage with low propagation delays.A new spot beam judgement algorithm is presented in LEO satellite constellation.At first,judgement of central spot beam is considered.Then the judgement of outlying spot beam is achieved by two algorithms.One is 2-D space judgement algorithm and the other is 3-D space judgement algorithm.Based on these algorithms,an Iridium model implemented on OPNET with dynamic topology nodes and network layer protocols is presented and simulation results are obtained.The simulation results show that the satellite serving time has obviously increased through the method of longest visible time criterion and the equal beam width model is validated.

The Application of Multi-level Fuzzy Judgement in the Appraisement of Green Products

The appraisement of "the green level" for a green product is a problem that has to deal with multi aspects and multi stratification. According to the property of the items that affect "the green level" of the product, they can be divided into aspects, elements and factors. These make appreciable grades. Multi level fuzzy judgement can solve the appraisement problem that considers the influences of design, manufacture, use and recovery in all life cycle or multi life cycle of a product. In the judging process it not only deals with the action of all factors, but also continues to have all messages in grade judgement. The power coefficients stand out as the main items. An example is given to show the judgement process.

The Application of Multi-level Fuzzy Judgement in the Appraisement of Green Products

The appraisement of "the green level" for a green p ro duct is a problem that has to deal with multi-aspect and multi-stratification. According to the property of the items that affect "the green level" of the pro duct, they can be divided into aspects, elements and factors. These make appreci able grades. The multi-level fuzzy judgement can solve the appraisement problem that considers the influences of design, manufacture, use and recovery in all- life cycle or multi-life cycle of product. In the judging process it is not onl y deal with the action of all factors, but also continue to have all messages in grade judgement. The power coefficients stand out as the main items. An example is given to show the judgement process.

On consistency of the weighted arithmetical mean complex judgement matrix

The weighted arithmetical mean complex judgement matrix （WAMCJM） is the most common method for aggregating group opinions, but it has a shortcoming, namely the WAMCJM of the perfectly consistent judgement matrices given by experts canot guarantee its perfect consistency. An upper bound of the WAMCJM＇s consistency is presented. Simultaneously, a compatibility index of judging the aggregating extent of group opinions is also introduced. The WAMCJM is of acceptable consistency and is proved provided the compatibilities of all judgement matrices given by experts are smaller than the threshold value of acceptable consistency. These conclusions are important to group decision making.

TWO APPROACHES TO IMPROVING THE CONSISTENCY OF COMPLEMENTARY JUDGEMENT MATRIX

By the transformation relations between complementary judgement matrix and recip- rocal judgement matrix,this paper proposes two methods for improving the consistency of com- plementary judgement matrix and gives two simple practical iterative algorithms.These two al- gorithms are easy to implementon computer,and the modified complementary judgementmatri- ces remain most information that original matrix contains.Thus the methods supplement and develop the theory and methodology for improving consistency of complementary judgement matrix

HYDROCHEMICAL INDEXES OF SEAWATER INTRUSION AND COMPREHENSIVE JUDGEMENT ON INTRUSIVE DEGREE

The paper discusses the use of five hydrochemical indexes in evaluating seawater intrusion, and ranking the intrusion degree for Cl -, M, Br -, rHCO 3/rCl and SAR. The fuzzy mathematical comprehensive judgement model has been adopted as the method of adjustment. Based on more than 300 water samples obtained from four typical profiles in the coastal region of Laizhou Gulf during the period from June 1993 to June 1995, we made a comprehensive judgement of seawater intrusion degree. The result shows that intrusion degree was becoming heavier from June 1993 to June 1994, but more steady and inactive in the high level of intrusion degree in the perennial severe intrusion zone from December 1994 to June 1995. Since entering the 1990s up to now, the process of seawater intrusion has translated from its peak developmental stage from the 1970s to the 1980s into a stage of equilibrium and slow development mainly because the intruded area expanded inland, precipitation increased at some extent recently and various measures of prevention and harness begin to show the effect.

Mixed Least Square Method for Priority of Complementary Judgement Matrix and Its Algorithm

Based on the concept of multiplicative fuzzy consistent complementary judgement matrix, the mixed least square method （MLSM） for priority of complementary judgement matrix is proposed and proved. Then, the corresponding convergent iterative algorithm is given and its convergence is proved. Finally, some main properties of the developed priority method, such as rank preservation under strong condition, etc., ate introduced. The theoretical analyses show that the MLSM can sufficiently reflect the preference information of the decision maker, and is easy to realize on a computer.

Consensus of the Characteristics of Clinical Judgement Utilised by Nurses’ in Their Practice: Results of a Survey

Clinical judgement is an important component of safe and effective nursing care. Clinical judgement remains a challenging cognitive process to articulate and assess. An integrative review of the literature conducted in 2016 identified 13 characteristics of clinical judgement. This paper reports the results of a 2-phase survey to obtain consensus whether these characteristics identified accurately represented nurses’ perception of clinical judgement. The 2-phase survey was administered via an online survey software tool. The survey in phase 1 sought Yes/No answers for nurse academics with recruitment via a hyperlink in an email to individuals identified from University websites, Google and published articles. In phase 2, the survey was modified to a Likert scale and recruitment occurred via online networks and was open to all nurses. The results identified that the characteristics accurately represented the nurse’s perception of clinical judgement. By articulating the characteristics, it allows clinical judgement to be easily described and can therefore be applied to both nursing research and education.

Some Basic Judgements

Great changes in the international environment facing China have taken place since the end of the Cold War. And new changes have taken place after September 11. Even so, China has constantly improved its external environment and thus it’s standing in the world has grown steadily because of its stable political situation, economic development.

THE FUZZY SYNTHETIC JUDGEMENT OF CORRELATING PARAMETER OF FIGHTER DESIGN

An expression of correlating parameter is developed which can be used to synthetically express the close combat maneuverability of fighters by the method of fuzzy mathematics. On the basis of analysis of fighter maneuvering performances, this paper proposes the parameters ωA,ωs, and SEP to measure the maneuvering performances. The linear weighted method, which is one of the basic methods of transforming several objects to a single object in mathematics programming, is used to determine the form of the correlating parameter expression. The focal point of this paper's work is to determine the weight coefficients of maneuvering performances in the expression. In order to solve this problem, the inverse problem of synthetic judgement in fuzzy mathematics is employed. The development of the equation of fuzzy relationship in this paper is based on the judgement data, which are gathered from many experts working in aeronautical field. Therefore, the expression of correlating parameter developed by this paper can be used in the design object at aircraft conceptual design stage and the judgement of synthetical measurement of the maneuverability of fighters.

Whether Females are Facing Harsher Judgements than Males in The Society

Are Chinese female more easily blamed than male because of transgressions?To find the answer of this question,we designed an experiment.The hypothesis was:women are more constrained by social norms than men in China.Chinese have clear expectations to how people should act,and norms apply to women.However,perhaps these expectations might be mitigated when Chinese go abroad and exposed to more culturally looser countries.Moreover,these effects might increase with the longer exposure.In this experiment,we compare people’s attitudes to identical men and women behavior.We mainly hypothesis that(1)There is Greater exception of conformity for women and strevter judgement against women in China.(a)Students study in a culturally looser country have less gender bias toward women.(b)Longer time abroad(in a culturally looser country)mitigate gender bias toward women.(2)Chinese language promotes the formation of expectations to women’s behaviors.

江苏促进民营企业做大做优做强的路径研判

民营经济是推进中国式现代化的生力军,民营企业是民营经济的经营主体或微观载体,因此,凡是能促进民营经济发展壮大的政策举措,都应在民营企业身上添力赋能、见功见效。《中共中央国务院关于促进民营经济发展壮大的意见》明确提出“促进民营经济做大做优做强”,并且竖起了三大“指路牌”。这三个“引导”,契合当下江苏民营企业发展的实际情况,但做大做优做强民营企业是一项十分艰巨复杂的系统工程,江苏政企双方不仅要围绕政策落实、法律执行、合规经营等“相向而行”,更要深入研判推进路径。当前江苏做大做优做强民营企业,首要路径是解放思想弘扬精神,关键之路是坚定方向转型升级,成功之道在于改革开放创新驱动。如此三路并进从而形成强大合力,定能推动民营企业在高质量发展征程上“打头阵、当先锋、树高峰、建新功”。

基于情感和认知协同的道德判断方法

随着大语言模型的迅速发展,大语言模型的安全性逐渐引起了研究者和公众的密切关注.为了防止大语言模型在与人类协作中对人类产生伤害,如何确保大语言模型在日常场景中的判断能与人类道德观念相符成为了一个重要问题.其中一个关键的挑战是,如何确保大语言模型在道德判断方面,能够像人类那样,针对不同的情境,灵活地调整或重新考虑预定的规则,从而使其判断与人类的道德观念保持一致.受心理学和认知科学中关于人类道德判断的情感和认知影响因素研究的启发,结合大语言模型在认知推理和情感分析能力上的优势,设计了一种模仿人类道德判断过程中情感判断和认知判断能力交互的方法,从而提升了大语言模型的道德判断表现.实验结果证明了所提方法在该任务上的有效性.总的来说,不仅为大语言模型的道德判断提供了一种创新的方法,也强调了心理学与认知科学理论在此领域的重要性,为未来的进一步研究奠定基础.

企业披露数据资源会影响审计质量吗?——基于审计师的多维学习视角

数据资源的发展日臻成熟,成为企业的新质生产要素。本文通过挖掘2011-2022年我国A股上市公司年报中披露的数据资源数额,探究其对审计质量的影响,研究发现,企业披露数据资源对审计质量具有负向影响。机制分析显示,企业披露数据资源通过削弱企业内部控制质量,增加对区块链与人工智能技术的使用程度,从而降低审计质量。基于审计师的多维学习视角,进一步发现审计师在职场内进行主动学习的作用有限,而职场外的主动与职场内外的被动学习均能更好地提升其对于数据资源的判断和决策效用。此外,企业披露不同类别的数据资源均会对审计质量造成影响。本文从审计师专业判断和职业学习层面拓展了审计质量的研究框架,对完善数据资源披露等相关准则及审计师职业学习理论等具有重要价值。

基于改进自适应IMM算法的高速列车组合定位

针对列车高精度定位问题,该文提出基于改进自适应交互多模型(IMM)的高速列车高精度组合定位方法。首先,根据列车定位需求和各传感器特点,设计了卫星接收器、轮轴测速传感器、测速雷达以及单轴陀螺仪4种传感器的组合定位方案。然后,针对IMM融合滤波算法因先验信息不准导致固定参数设置不当的问题,引入Sage-Husa自适应滤波和转移概率矩阵(TPM)自适应更新集成为自适应IMM算法。针对多模型切换的滞后问题,利用子模型似然函数值能快速反映模型变化趋势的特点,将似然函数值设为判定标志,并引入判定窗对TPM矩阵元素进行修正,有效提升了模型的切换速度。最后,基于改进自适应IMM算法对4种传感器定位信息进行融合滤波,实现高速列车的高精度组合定位。仿真结果表明:改进后的算法相比其他自适应IMM算法提升定位精度1.6%~14.7%,并且能通过提高模型间切换速度来有效降低位置误差峰值,同时具备较好的抗噪性能。

面向超分辨率重建的层次间局部特征增强网络

基于卷积神经网络的超分辨率重建模型以单项传播为主,层次越靠后感知信息的能力越微弱,导致层次间局部特征部分丢失,难以实质提升网络的特征表达能力。针对此问题,提出层次间局部特征增强网络。该方法由级联残差模块、层次间特征增强块和特征感知注意力机制组成。级联残差模块通过有效残差连接增加对残差分支信息的利用;层次间特征增强块提取不同深度特征的依赖关系,自适应调整中间层特征权值增强捕获关键信息的能力;特征感知注意力机制采用方向感知和位置判断的方式准确定位和识别感兴趣对象。多项标准数据集的实验结果表明,该方法能改善超分辨率的视觉重建效果,整体性能优于现有方法。

案件溢出事实对法院裁判形成过程的影响

准确把握与合理运用案件溢出事实,对于案件定量裁判的公正性具有重要的实践价值和意义。以民事纠纷中的彩礼案为例,我国已形成案件溢出事实运用的规范主义的三种进路。然而,这些规范主义进路存在难以对溢出事实作出穷尽规定,难以量化把握溢出事实的运用,以及已有的典型案例和司法解释尚有矛盾或欠严谨等主要问题。因而在案件的定量裁判中,裁判者对溢出事实的判断和运用仍需遵循实践主义逻辑,要基于个案溢出事实与主要事实的内在联系,从情理角度对案件的溢出事实加以衡量,并以可靠性作为判断和运用案件溢出事实的前提。运用案件溢出事实作出的定量裁判结果的正当性证成,需以当事人对裁判结果存在最低限度的可接受性为前提。

民事枉法裁判罪认定难点刍议

民事枉法裁判行为严重损害司法权威和司法公信力,伤害人民群众对司法公平正义的信任,是刑法严厉打击的对象。实务中在具体认定时需要解决三个方面的问题,一是本罪的主体包括未直接参与民事案件审理但对枉法结果的发生起到决定性作用的实质裁判者;二是判断行为人违背事实和法律作出枉法裁判的主观内容,可以从客观行为、裁判结果、认知水平三个维度进行考察综合判定;三是民事枉法裁判的发生往往始于“徇私情、徇私利”的主观动机,遵循这一引线考察行为人是否存在徇私情节—故意违背事实和法律—作出枉法裁判的行为逻辑,可以有效排除行为人关于自由裁量权的辩解,准确认定相关犯罪。

Report for Type 2 Bayes-Fuzzy Estimation in No-Data Problem

It is well known that the system (1 + 1) can be unequal to 2, because this system has both observation error and system error. Furthermore, we must provide our mustered service within our cool head and warm heart, where two states of nature are existing upon us. Any system is regarded as the two-dimensional variable error model. On the other hand, we consider that the fuzziness is existing in this system. Though we can usually obtain the fuzzy number from the possibility theory, it is not fuzzy but possibility, because the possibility function is as same as the likelihood function, and we can obtain the possibility measure by the maximal likelihood method (i.e. max product method proposed by Dr. Hideo Tanaka). Therefore, Fuzzy is regarded as the only one case according to Vague, which has both some state of nature in this world and another state of nature in the other world. Here, we can consider that Type 1 Vague Event in other world can be obtained by mapping and translating from Type 1 fuzzy Event in this world. We named this estimation as Type 1 Bayes-Fuzzy Estimation. When the Vague Events were abnormal (ex. under War), we need to consider that another world could exist around other world. In this case, we call it Type 2 Bayes-Fuzzy Estimation. Where Hori et al. constructed the stochastic different equation upon Type 1 Vague Events, along with the general following probabilistic introduction method from the single regression model, multi-regression model, AR model, Markov (decision) process, to the stochastic different equation. Furthermore, we showed that the system theory approach is Possibility Markov Process, and that the making decision approach is Sequential Bayes Estimation, too. After all, Type 1 Bays-Fuzzy estimation is the special case in Bayes estimation, because the pareto solutions can exist in two stochastic different equations upon Type 2 Vague Events, after we ignore one equation each other (note that this is Type 1 case), we can obtain both its system solution and its decision solution. Here, it is noted that Type 2 Vague estimation can be applied to the shallow abnormal decision problem with possibility reserved judgement. However, it is very important problem that we can have no idea for possibility reserved judgement under the deepest abnormal envelopment (ex. under War). Expect for this deepest abnormal decision problem, Bayes estimation can completely cover fuzzy estimation. In this paper, we explain our flowing study and further research object forward to this deepest abnormal decision problem.