Obtaining Crisp Priorities for Triangular and Trapezoidal Fuzzy Judgments

This paper proposes anoptimal fuzzy-based model for obtaining crisp priorities for Fuzzy-AHP comparison matrices.Crisp judgments cannot be given for real-life situations,as most of these include some level of fuzziness and com-plexity.In these situations,judgments are represented by the set of fuzzy numbers.Most of the fuzzy optimization models derive crisp priorities for judgments repre-sented with Triangular Fuzzy Numbers(TFNs)only.They do not work for other types of Triangular Shaped Fuzzy Numbers(TSFNs)and Trapezoidal Fuzzy Numbers(TrFNs).To overcome this problem,a sum of squared error(SSE)based optimization model is proposed.Unlike some other methods,the proposed model derives crisp weights from all of the above-mentioned fuzzy judgments.A fuzzy number is simulated using the Monte Carlo method.A threshold-based constraint is also applied to minimize the deviation from the initial judgments.Genetic Algorithm(GA)is used to solve the optimization model.We have also conducted casestudiesto show the proposed approach’s advantages over the existingmethods.Results show that the proposed model outperforms other models to minimize SSE and deviation from initial judgments.Thus,the proposed model can be applied in various real time scenarios as it can reduce the SSE value upto 29%compared to the existing studies.

Ranking method for the reciprocal judgment matrix based on the unascertained three-valued judgments

The ranking problem is studied when the pairwise comparisons values are unoertain in the analytic hierarchy process （AHP）. The method of constructing the judgment matrix is presented when the pairwise comparisons values are denoted by the unascertained three-valued reciprocal scales. By turning the reciprocal judgment matrix into attribute judgment matrix, the method to check the consistency of the pairwise comparisons judgment matrix and the calculation method of weighting coefficients are given. Finally, numerical examples are given to illustrate the effectiveness of the proposed method.

Quantitative Estimation of Experts’Judgments on Petroleum Exploration

A new method in making judgment matrix is proposed based on a basic value of “importance” and a relative measure level of “importance”. Factors affecting petroleum exploration are analyzed and Experts’ judgment matrix on a geologic formation is given. Expected value of each factor is computed and the volume of recoverable oil is estimated.

Recognition and Enforcement of Chinese Money Judgments in Civil and Commercial Matters in the Netherlands: Law and Practice

Ⅰ.Enforcement of foreign judgments? Article 431 DCCP In the absence of a treaty in w hich the mutual recognition and enforcement of judgments in civil and commercial matters is regulated,the recognition and enforcement of a foreign judgment in the Netherlands is governed by general private international law.

Value Judgments in Criminal Law Interpretation

Criminal law interpretation in China faces two primary challenges in terms of value judgments. Normative interpretations often fall into circular and inadequate reasoning, while judges, the key figures in applying interpretive principles, frequently lack the necessary value judgment engagement and proficiency. Traditional criminal law interpretation is ensnared in a subjective-objective dichotomy, resulting in a misalignment with the aim of "legitimate and rational" interpretation practices in China. To rectify this, a philosophical shift is required to allow intersubjective value judgments while maintaining subjectivityobjectivity as the prerequisite. Criminal law interpretation ensures the completeness of value judgments through a combination of specialized knowledge and public discourse.This involves the creation of systematic criteria for value judgments and adherence to legal principles. The former necessitates defining the internal and external standards of value judgments, formulating rules for the resolution of conflicting standards, and underlining the practical importance of criminalization under law, or "no crime or punishment without law"(the principle that only the law can define a crime and prescribe a penalty) and "Where no law applies, it is permissible to redefine a crime as non-criminal or minor"(decriminalization).The latter involves three perspectives: logical reasoning and theoretical arguments;positive and negative judgments;and formal and substantive rationality. Moreover, it should be approached from four dimensions: normative orientation, individual case promotion, reverse exclusion, and constitutional guidance.

Coordination of Legal Systems by the Recognition of Foreign Judgments-Rethinking Reciprocity in Sino-Japanese Relationships

In the era of globalization,commercial transactions readily gain international dimensions and are increasingly delocalized.With a view to establishing effective dispute resolution mechanisms,it is desirable that judgments rendered in one state be recognized and enforced in other states.This is especially important in East Asia,as cross-border business activities are rapidly expanding along with its economic growth.This paper aims to examine the recognition and enforcement of judgments in civil and commercial matters in East Asia with a focus on Sino-Japanese relationships,where the establishment of a reciprocal relationship has posed a considerable challenge.It is worth considering how we can gradually pave the way towards the mutual recognition and enforcement of judgments to achieve coordination among legal systems.

RECOGNITION AND ENFORCEMENT OF JUDGMENTS BETWEEN CHINA, JAPAN AND SOUTH KOREA IN THE NEW ERA： SOUTH KOREAN LAW PERSPECTIVE

This article discusses the rules for recognition and enforcement of foreign judgments in the Republic of Korea （hereinafter referred to as ＂South Korea＂ or ＂Korea＂）. Articles 217 and 217-2 of the Civil Procedure Act of Korea and Articles 26 and 27 of the Civil Enforcement Act of Korea provide for the recognition and enforcement of foreign judgments respectively. Korea has not entered into any bilateral or multilateral treaties regarding the recognition and enforcement of foreign judgments and is not a party to the Convention on Choice of Court Agreements. The article also considers the current undesirable status of recognition and enforcement of judgments in the region consisting of China, Japan and South Korea （hereinafter referred to as ＂Region＂） and suggests a course of action to be taken to improve the situation. The author believes that the experts of the Region should embark upon a project to improve the current situation and that the first step should be to exchange and gather information on the current legal regime of the countries in the Region on the recognition and enforcement of judgments. The author looks forward to future cooperation among the experts in the Region on this topic and is confident that the reciprocity requirement, which currently is a major obstacle to the mutual recognition and enforcement of foreign judgments in the Region, will be overcome in the near future.

Strong Judgments

Divorce: The husband pleads to save the marriage, but his wife insists upon divorce, Judge Li granted them a divorce according to an investigation undertaken before the court’s opening session.

Strong Judgments

JUDGE Li Yanyan completed 226 civil cases last year, more than any of the 100 other civil law judges at Chaoyang District Court in Beijing. Young and lean, Judge Li appears anything but tough. But her colleagues can attest for the strength which enables her to handle a case load of almost one each work day. Zhang Baoling, Li’s clerk of court, said, "She looks weak,

Predicting the Outcome of a Tennis Tournament:Based on Both Data and Judgments

This paper is about predicting the outcome of tennis matches of the Association of Tennis Professionals(ATP)and the Women's Tennis Association(WTA)using both data and judgments.There are many factors that influence that outcome.An important question is which factors have significant influence on the outcome.We have identified numerous factors and systematically prioritized them subjectively and objectively,so as to improve the accuracy of the prediction.We then used them to predict the win-lose outcome of the 2015 US OPEN tennis matches(63 men and 31 women's games)before they took place.The tennis match prediction in sports literature thus far reported an accuracy rate of 70%.The accuracy of our proposed model which combines data and judgment reaches 85.1%.

RECOGNITION AND ENFORCEMENT OF FOREIGN NON-MONETARY JUDGMENTS IN CHINA

Transboundary recognition and enforcement of judgments is of increasing practical significance and it draws a great deal of efforts at various levels. However, the efforts already made are predominantly in relation to cross-border movement of monetary judgments, leaving non-monetary judgments beyond recognizability. Investigation into China＇s legislation and adjudication reveals that there is no distinction made between recognition of monetary and non-monetary judgments, and practice also ignores such a distinction. Following the trend of embracing non-monetary judgments within the scope of recognizablility, China＇s standpoint seemingly appears to be desirable, although the long-standing non-differentiation of monetary and non-monetary judgments is not presumed to be originally out of promoting recognition and enforcement of foreign non-monetary judgments in China. It is submitted that for promoting recognition and enforcement of foreign non-monetary judgments, China shall introduce independent rules in order to facilitate the circulation of such judgments, which merits a special treatment. For parties to seek the recognition and enforcement of such judgments, prior to any overhauling of the current legal regime, they have to follow China＇s persisting general legal regime and judicial practice regarding recognition and enforcement of all categories of foreign judgments, and a special call is made for particular attention to the reciprocity requirement and due service requirement.

UNCONSTITUTIONALITY OF RECIPROCITY REQUIREMENT FOR RECOGNITION AND ENFORCEMENT OF FOREIGN JUDGMENTS IN JAPAN

This article deals with reciprocity requirement for recognition of foreign judgments in Japan. Following German law, Japanese law requires reciprocity to the rendering state in addition to the jurisdiction of the state, the service of process, and the compatibility with Japanese public policy. Although Japanese courts have rarely refused the recognition of foreign judgments for lack of reciprocity for a long time, some Chinese judgments recently have not been recognized for this reason. The author clarifies first with historical review what was the purpose of the Japanese legislator, when the original law of 1890 required the reciprocity by international treaties, and when later the reform law of 1926 required the simple reciprocity that is similarly provided in the current law. The author surveys then the Japanese case law concerning the reciprocity requirement after the reform of 1926. The author focuses further on the reciprocity between Japan and China and compares the Japanese practice with the German one that led to a different result. Last, it is concluded that the reciprocity requirement is contrary to the protection of human rights under Japanese constitution.

Fuzzy pattern recognition model of geological sweetspot for coalbed methane development

From the perspective of geological zone selection for coalbed methane(CBM) development, the evaluation parameters(covering geological conditions and production conditions) of geological sweetspot for CBM development are determined, and the evaluation index system of geological sweetspot for CBM development is established. On this basis, the fuzzy pattern recognition(FPR) model of geological sweetspot for CBM development is built. The model is applied to evaluate four units of No.3 Coal Seam in the Fanzhuang Block, southern Qinshui Basin, China. The evaluation results are consistent with the actual development effect and the existing research results, which verifies the rationality and reliability of the FPR model. The research shows that the proposed FPR model of geological sweetspot for CBM development does not involve parameter weighting which leads to uncertainties in the results of the conventional models such as analytic hierarchy process and multi-level fuzzy synthesis judgment, and features a simple computation without the construction of multi-level judgment matrix. The FPR model provides reliable results to support the efficient development of CBM.

Experimental Study on the Influence of Cognition and Emotion on Moral Judgment of College Students in Dilemma Situation

Objective:To study the influence of cognition and emotion on moral judgment of college students under the circumstance of whether the cognitive resources are occupied and whether the emotion is induced.Methods:This experiment uses a multi-factor mixed experiment method to divide experiments and groups.Experiment 1 uses a two-factor mixed experimental design of 2(cognitive resource occupancy group,cognitive resource non-occupied group)×3(difficult situation type).Experiment 2 uses a two-factor mixed experimental design of 2(emotion induction group,emotion induction and cognitive resource occupation group)×3(three types of dilemma situation types)is adopted.The dependent variable of this experiment(including Experiment 1 and Experiment 2)is the judgment response time and the judgment result is“Yes”(F)or“No”(J).Results:(1)The reaction time of the cognitive resource occupancy group was significantly higher than that of the cognitive resource non-occupied group,and the cognitive resource occupancy group in the three types of dilemma situations of high personal involvement,low personal involvement,and non-personal participation.There is no significant difference between the results of moral judgments and the cognitive resource non-occupied group.(2)In the three dilemmas of high personal involvement,low personal involvement,and non-personal participation,the emotion-induced group and the emotion-induced and cognitive resource occupation group have no significant differences in reaction time and moral judgment results.(3)In the three dilemmas of high personal involvement,low personal involvement,and non-personal participation,the reaction time difference between the cognitive resource occupation group and the emotionally induced and cognitive resource occupation is not significant,while in the dilemma of low personal involvement,the number of people in the cognitive resource occupation group whose moral judgment is“Yes”was significantly higher than that in the emotionally induced and cognitive resource occupation group.(4)In the three dilemmas of high personal involvement,low personal involvement,and non-personal participation,the reaction time of the emotionally induced group was significantly higher than that of the cognitive resource non-occupied group,and the moral judgment results of the two groups were both found no significant difference.Conclusion:When the occupation of cognitive resources and the induction of emotions will significantly affect the response of individual moral judgments,different types of dilemmas will significantly affect the results of individual moral judgments.

Risk Analysis Using Multi-Source Data for Distribution Networks Facing Extreme Natural Disasters

Distribution networks denote important public infrastructure necessary for people’s livelihoods.However,extreme natural disasters,such as earthquakes,typhoons,and mudslides,severely threaten the safe and stable operation of distribution networks and power supplies needed for daily life.Therefore,considering the requirements for distribution network disaster prevention and mitigation,there is an urgent need for in-depth research on risk assessment methods of distribution networks under extreme natural disaster conditions.This paper accessesmultisource data,presents the data quality improvement methods of distribution networks,and conducts data-driven active fault diagnosis and disaster damage analysis and evaluation using data-driven theory.Furthermore,the paper realizes real-time,accurate access to distribution network disaster information.The proposed approach performs an accurate and rapid assessment of cross-sectional risk through case study.The minimal average annual outage time can be reduced to 3 h/a in the ring network through case study.The approach proposed in this paper can provide technical support to the further improvement of the ability of distribution networks to cope with extreme natural disasters.

Fuzzy-Bayes Decision Making with Reserved Judgement

This paper discusses a method for identifying states in a multistage Decision Making Problem in which an Indifferent Event is either predetermined or can be automatically derived after the fact. First, when they are pre-set, the amount of possible information about Indifferent Event tends to be large. Therefore, since the decision is risk tolerant, the Max-Product method of Tanaka et al. is used to calculate the expected utility possibility. Next, in the case of automatic derivation after the fact, the amount of information on the possibility of Indifferent Event is relatively small, so the expected utility possibility is derived using Zadeh’s Fuzzy Event Possibility Measure. Here, it is assumed that the setting of the utility function is independent of the information on the occurrence of the Indifferent Event and is identified by the decision maker by lot drawing using the certainty equivalence method. As a concrete example, we focus on the pass/fail decision of a recommendation test, which is a two choice question in the No-Data Problem, and illustrate the multistage state identification method. .

Estimation of Decision Alternatives on the Basis of Interval Pairwise Comparison Matrices

This paper deals with the calculation of a vector of reliable weights of decision alternatives on the basis of interval pairwise comparison judgments of experts. These weights are used to construct the ranking of decision alternatives and to solve selection problems, problems of ratings construction, resources allocation problems, scenarios evaluation problems, and other decision making problems. A comparative analysis of several popular models, which calculate interval weights on the basis of interval pairwise comparison matrices (IPCMs), was performed. The features of these models when they are applied to IPCMs with different inconsistency levels were identified. An algorithm is proposed which contains the stages for analyzing and increasing the IPCM inconsistency, calculating normalized interval weights, and calculating the ranking of decision alternatives on the basis of the resulting interval weights. It was found that the property of weak order preservation usually allowed identifying order-related intransitive expert pairwise comparison judgments. The correction of these elements leads to the removal of contradictions in resulting weights and increases the accuracy and reliability of results.

Thinking Probabilistically Revisited

Probability distributions are derived for real-world situations where the environment may be subject to high volatility involving radical revisions in probability judgments.A simple procedure is outlined deriving an initial probability distribution which may then be adjusted to reflect additional or new information.The trade-off between minimal computation and maximum information is examined.

A New Approach to Probability Assessment

Using spreadsheets and ranges for pairwise judgments,candidate probability distributions are generated for the decision-maker to consider.This replaces event-by-event determination of probabilities.Basic statistics of the distributions are then used to determine a final distribution for decision purposes as in buy,sell,or hold.

A BENCHMARK EXERCISE ON FUZZY SET THEORY BASED EXPERT JUDGEMENT TECHNIQUE

It is sometimes impossible to make a correct decision in a certain engineering task without the help from professional expert judgments. Even though there are different expert opinions available, however, they should be appropriately aggregated to a useful form for making an acceptable engineering decision. This paper proposed a technique which utilizes the fuzzy set theory in the aggregation of expert judgments. In the technique, two main key concepts are employed: linguistic variables and fuzzy numbers. Linguistic variables first represent the relative importance of evaluation criteria under consideration and the degree of confidence on each expert perceived by the decision maker, and then are replaced by suitable triangular fuzzy numbers for arithmetic manipulation. As a benchmark problem, the pressure increment in the containment of Sequoyah nuclear power plant due to reactor vessel breach was estimated to verify and validate the proposed technique.