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.

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.

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.

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

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.

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.

HYDROCHEMICAL INDEXES OF SEAWATER INTRUSION AND COMPREHENSIVE JUDGEMENT ON INTRUSIVE DEGREE

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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.

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.

The Study on Communicative Functions of Silence Based on the Revelence Theory

Silence,as a type of non-verbal communication,expresses special meanings of the speakers.The core of this study is focused on the functions of silence in conversations from the famous American TV series Prison Break(Season I),in order to reveal that silence,as an important tool in human communication,has richness of meaning and complexity of use.

Loading-unloading judgement for advanced plastic UH model

The unified hardening(UH)model proposed by Yao et al.(Geotechnique 2009)is the constitutive model which can consider the influence of the complex stress path and stress history on the deformation and strength of clays reasonably.Firstly,the loading-unloading criterion of material model is defined as the change law of the intersection of current yield surface and the p axis,which makes the loading-unloading in the process of hardening and softening can be unified considered in UH model.Then,the Newton-Raphson method is adopted to attain the nonlinear problems solution in the finite element method of UH model,and the semi-implicit return mapping method is adopted to update stress.The application of the UH model in the finite element is realized.And then,the analyses of triaxial test are performed using the unit prediction and finite element method.The results of the unit prediction method are compared with the experimental results to illustrate the rationality of the UH model.Comparing the results with the unit prediction method and the finite element method,the correctness of the finite element program of the UH model is iUusttated.Further,Ae three-dimensional firdte element andysis of embankment on soft soil is performed by the program.The comparison between the results calculated by the UH model and the modified Cam-clay(MCC)model and the experimental data shows that the UH model is rational in analyzing the actual embankment engineering on soft soil.

Solution of Matrix Game with Triangular Intuitionistic Fuzzy Pay-Off Using Score Function

Using score function in a matrix game is very rare. In the proposed paper we have considered a matrix game with pay-off as triangular intuitionistic fuzzy number and a new ranking order has been proposed using value judgement index, available definitions and operations. A new concept of score function has been developed to defuzzify the pay-off matrix and solution of the matrix game has been obtained. A numerical example has been given in support of the proposed method.

Grey System Judgment on Reliability of Mechanical Equipment

he Grey system theory -was applied in reliability analysis of mechanical equip-ment. It is a new theory and method in reliability engineering of mechanical engineering of mechanical equipment. Through the Grey forecast of reliability parameters and the reliability forecast of parts and systems, decisions were made in the real operative state of e-quipment in real time. It replaced the old method that required mathematics and physical statistics in a large base of test data to obtain a pre-check , and it was used in a practical problem. Because of applying the data of practical operation state in real time, it could much more approach the real condition of equipment; it-was applied to guide the procedure and had rather considerable economic and social benefits.

COMPUTER PATTERN DESIGN AND PAINTING TECHNIQUE BASED ON AESTHETICS KNOWLEDGE

Computer Art (CA) is a very important field in computer applications. Based on the analysis and summarization of the painting process, a new method of CA creation using the techniques of com- puter graphics and the expert system is presented in this paper. The reduction of pattern model, simu- lation of special effect, representation of aesthetics knowledge and fuzzy judgement of beauty are includ- ed by this new method.

Research of recognizing intelligence based on commanding decision-making

In commanding decision-making, the commander usually needs to know a lot of situations（intelligence） on the adversary. Because of the military intelligence with opposability, it is inevitable that intelligence personnel take some deceptive information released by the rival as intelligence data in the process of intelligence gathering. Since the failure of intelligence is likely to lead to a serious aftereffect, the recognition of intelligence is a very important problem. An elementary research on recognizing military intelligence and puts forward a systematic processing method are made. First, the types and characteristics of military intelligence are briefly discussed, a research thought of recognizing military intelligence by means of recognizing military hypotheses are presented. Next, the reasoning mode and framework for recognizing military hypotheses are presented from the angle of psychology of intelligence analysis and non-monotonic reasoning. Then, a model for recognizing military hypothesis is built on the basis of fuzzy judgement information given by intelligence analysts. A calculative example shows that the model has the characteristics of simple calculation and good maneuverability. Last, the methods that selecting the most likely hypothesis from the survival hypotheses via final recognition are discussed.

Believing processes during the COVID-19 pandemic in individuals with bipolar disorder:An exploratory study

BACKGROUND Believing or“credition”refers to psychological processes that integrate the cognitions and emotions that influence our behavior.In the credition model by Angel and Seitz,four parameters are postulated:proposition,certainty,emotion and mightiness.It is assumed that believing processes are influenced by both the individual as well as socio-cultural factors and external circumstances.External or environmental circumstances can include threatening situations such as the ongoing pandemic.It has been hypothesized that believing processes related to the pandemic differ between individuals with bipolar disorder(BD)and healthy controls(HC).AIM To investigate credition in individuals with BD during the coronavirus disease 2019(COVID-19)pandemic.METHODS Psychiatrically stable individuals with BD(n=52)and age-and sex matched HC(n=52)participated in an online survey during the first lockdown of the COVID-19 pandemic.The survey took place between April 9^(th) and June 4^(th),2020,in Austria.Participants completed the Brief Symptom Inventory-18,the Beck Depression Inventory-Ⅱ,the Altman Self-Rating Mania Scale,the Pittsburgh Sleep Quality Index and a dedicated Believing Questionnaire assessing four parameters of credition(proposition,certainty,emotion and mightiness).The MAXQDA software was used to analyze the qualitative data.Statistical analyses included analyses of variance,a multivariate analysis of variance and a multivariate analysis of co-variance.RESULTS Individuals with BD reported significantly more negative propositions[F(1,102)=8.89,P=0.004,η2 p=0.08]and negative emotions[Welch´s F(1,82.46)=18.23,P<0.001,η2 p=0.18],while HC showed significantly more positive propositions[F(1,102)=7.78,P=0.006,η2 p=0.07]and emotions[F(1,102)=14.31,P<0.001,η2 p=0.12].In addition,individuals with BD showed a higher incongruence between their propositions and their emotions[F(1,102)=9.42,P=0.003,η2 p=0.08]and showed strong correlations between the parameters of the Believing Questionnaire and their psychiatric symptoms(r=0.51-0.77,all P<0.001).Positive as well as negative emotions and propositions were associated with scores measuring symptoms of depression,anxiety and sleep quality.CONCLUSION Believing parameters were associated with psychiatric symptoms in BD during the pandemic.Findings broaden knowledge about the susceptibility of believing processes for ambient challenges in individuals with BD.

春西红柿防病丰产栽培技术

春西红柿防病丰产栽培技术西红柿春季露地栽培，也叫中晚栽培。现将西红柿防病露地丰产栽培的关键技术介绍如下：一、轮作换茬，间作套种为防止土壤病害危害西红柿，减少农药污染，保持地力，提高产置，降低成本，要严格实行三—四年轮作，不与茄科类作物连作重茬。西红柿...