Fuzzy Language Research Articles

A FMEA Optimization Method Based on TODIM and Best Worst Method-Water Filling Theory in Pythagorean Fuzzy Language Environment for Reliability Assessment of Industrial Robot

Abstract In view of the shortcomings of traditional failure modes and effects analysis (FMEA) in risk evaluation language, weight information, risk priority number (RPN), this paper proposes an FMEA optimization method. First, using the Pythagorean fuzzy language as the evaluation language, the hesitation psychology of the evaluator is truly reflected. Then, the best worst method (BWM) is used to calculate the weight of the evaluator, it can reduce the number of pairwise comparison evaluations. Second, water filling theory (WFT) uses mean values instead of extreme values to determine the discreteness of evaluation information, which is more consistent with FMEA. Therefore, WFT is used to calculate the weight of influencing factors. Finally, the tomada de-decisao iterativa multicriterio (TODIM) method is used for compromise calculation to obtain the risk ranking of failure modes. Compared with RPN, TODIM can avoid the situation that the failure mode scores are the same. At the end of the paper, the robustness and superiority of the new method are verified by taking the reliability assessment of reversing system of industrial robots as an example.

Weighted automata and logics meet computational complexity

Complexity classes such as #P, ⊕P, GapP, OptP, NPMV, or the class of fuzzy languages realised by polynomial-time fuzzy nondeterministic Turing machines, can all be described in terms of a class NP[S] for a suitable semiring S, defined via weighted Turing machines over S similarly as NP is defined in the unweighted setting. Other complexity classes can be lifted to the quantitative world as well, the resulting classes relating to the original ones in the same way as weighted automata or logics relate to their unweighted counterparts. The article surveys these too-little-known connexions implicit in the existing literature and suggests a systematic approach to the study of weighted complexity classes. An extension of SAT to weighted propositional logic is proved to be complete for NP[S] when S is finitely generated. Moreover, a class FP[S] is introduced for each semiring S as a counterpart to P, and the relations between FP[S] and NP[S] are considered.

Commonsense Knowledge in Foundation and Large Language Models

The development and continuous expansion of the transformer deep-learning architecture have produced enormous effects across various domains, including but not limited to natural language processing. The power of deep learning models has sparked a fresh interest in commonsense knowledge, which has been aided by transformer-based language models. Most of the recent research has concentrated on delving into the commonsense already built into these models' pre-trained parameters and finding ways to fill in any gaps in commonsense utilizing knowledge graphs and fine-tuning. In order to broaden a limited commonsense knowledge network that was originally generated solely from visual data, we are building on the demonstrated linguistic understanding of extremely large transformer-based language models. Compared to language models that are fine-tuned on a huge starting corpus, few-shotprompted pre-trained models are able to acquire the context of an initial knowledge graph with less bias. It has also been demonstrated that these models can contribute novel ideas to the visual knowledge networkIt is a new development in the field of commonsense knowledge generation that, as far as we can tell, can lead to a fivefold decrease in cost when compared to the current state of the art. Fuzzy language names assigned to the produced triples are another addition. Applying knowledge graphs as a framework, the procedure is comprehensive. It implies that the triples are expressed in natural language, analyzed, and then added to the commonsense knowledge network as triples again.

On the Pragmatic Functions of Hedges in Public Speeches

Fuzzy language is widely used in human communication, and as the most common and typical form of fuzzy language, hedges are a major linguistic strategy. From both theoretical and practical perspectives, this paper analyzes the pragmatic functions of the text taken from Barack Obama’s public speech with the discourse analysis approach based on the pragmatic theory. Firstly, the definition, classification and semantic features of hedges are elaborated; secondly, a brief introduction to public speeches is given; finally, the pragmatic functions of hedges in public speeches are analyzed in detail. The conclusion is that with the proper use of hedges, public speakers can make their words more credible and polite, so as to avoid unnecessary responsibility or criticism and to achieve their speech goals better.

Identification of the critical factors in flood vulnerability assessment based on an improved DEMATEL method under uncertain environments

With accelerated urbanization, the expansion of urban construction land and the increase in concrete pavement have led to a continuous decline in the natural permeability of the urban surface. This makes it difficult for rainwater in urban areas to infiltrate quickly into the ground, which may lead to urban flooding disasters in cases of heavy rainfall. In recent years, the frequency of urban flooding disasters has been increasing, posing a great safety threat to communities and residents as well as property damage. Therefore, it is important to build a scientific and reasonable community flooding vulnerability assessment system to improve the community emergency response capacity and reduce the losses caused by flooding disasters. In this paper, 94 indicators for community flooding vulnerability assessment are collected by combining literature research and field surveys. The newly proposed fuzzy language expression method based on pentagonal fuzzy numbers (PFN) and the proportional two-tuple linguistic representation (P2TLR) are used as the first step of indicator evaluation and screening, and PFN-P2TLR with the two-step DEMATEL method are combined as the second step of indicator screening. Finally, 23 representative evaluation indicators belonging to the dependent variable are selected. Following a thorough investigation, it was found that “resident characteristics”, “regional economic strength”, “community precipitation status” and “institutional soundness” are the four most influential factors for community resilience to flooding, and these indicators have a significant impact on other indicators. The research results provide a reliable basis and specific guidance suggestions for community flooding vulnerability assessment, which is crucial for further reducing the occurrence of flooding disasters and mitigating the social and economic losses caused by them.

A Systematic Decision-Making Approach for Quality Function Deployment Based on Hesitant Fuzzy Linguistic Term Sets

As a powerful tool for improving customer satisfaction, quality function deployment (QFD) can convert customer requirements (CRs) into engineering characteristics (ECs) during product development and design. Aiming to address the deficiencies of traditional QFD in expert evaluation, CRs’ weight determination and ECs’ importance ranking, this paper proposes an enhanced QFD model that integrates hesitant fuzzy binary semantic variables, the Best–Worst Method (BWM), and the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). The objective is to determine the prioritization of product engineering characteristics. Indeed, hesitant fuzzy linguistic term sets (HFLTS) have found extensive application in decision-making problems. Compared to other fuzzy language methods, HFLTS offers greater convenience and flexibility in addressing decision-makers’ hesitations and uncertainties. Initially, the combination of hesitant fuzzy linguistic term sets with interval binary tuple language variables is employed to articulate the uncertainty in the assessment information provided by QFD team members. Subsequently, the improved BWM and TOPSIS methods based on HFLTS are used to improve the accuracy of the importance ranking of engineering characteristics by determining the weights of CRs and prioritizing ECs in two stages. Finally, the feasibility and effectiveness of the proposed method are validated through an illustrative example.

Development of Visual Culture in Product Design with Application of Digital Mining Technology

Abstract The development and use of digital mining technology provide new trends for product visual design. This paper identifies the product design system using the product appearance design framework. Digital technology is integrated into the product’s visual style, and the empathy design method is utilized to communicate the product’s culture. Apply fuzzy language summarization algorithm of digital mining technology to calculate user demand data, propose weight calculation method based on fuzzy language summarization results, and set objective weights of product user demand. The design of product visual culture is based on the results of acquiring and parameterizing product users’ perceptual demands, and the design results are evaluated in terms of three-party satisfaction. The average satisfaction values of industrial design experts, automobile appearance researchers, and mass consumers are 4.09, 4.23, and 4.53, respectively, indicating that the visual design results of automobile appearance have a high degree of user satisfaction, which is in line with the expectations of design practice.

The Fuzzy Language of Critical Care Clinicians During Goals-of-Care Conversations: (Some Would Say It Is Probably) Time to Address Intentions and Consequences...

The Fuzzy Language of Critical Care Clinicians During Goals-of-Care Conversations: (Some Would Say It Is Probably) Time to Address Intentions and Consequences...

Vibration Control of Marine Flexible Riser with Uncertain Model

When flexible risers in the ocean are subjected to various environmental loads in the ocean, vibration will inevitably occur. Due to the nonlinearity and uncertainty of the actual riser system, it is impossible to obtain an accurate mathematical model of the riser system. The existing control algorithms designed based on the precise model of the riser system cannot meet the actual control requirements. A flexible riser boundary control method based on fuzzy control algorithm is proposed to suppress the vibration of marine flexible riser systems with uncertain models. Firstly, the dynamic models of existing marine flexible risers were studied. In response to the uncertainty of the riser system model, the control experience was transformed into an automatic control strategy in the form of fuzzy language control rules to improve the adaptability of the controller. Then, combining boundary control technology with fuzzy control, a boundary controller is constructed to stabilize the riser in a small neighborhood of its original position and reduce fatigue damage to the riser. Finally, the effectiveness of the designed fuzzy boundary control algorithm was verified through MATLAB simulation results, and the vibration suppression effect of the algorithm on the vertical tube was better than that of traditional PD control.

A Brief Analysis of the English Translation of the Fuzzy Expression in Lunyu Based on Gu Hongming’s Translation Version

With the quick and deep development of globalization, cultural communication is deepening and covering various aspects. How to translate classical Chinese works not only comprehensively and precisely, but also easy for people who without cultural background to understand is becoming a heated problem. The affluent and high-valued minds in Lunyu almost ranks to the top among ancient Chinese works, and language in it is concise, advocating using a few words to express propounding thought. Therefore, fuzziness becomes one of its typical characteristics, however, the related research about translation strategies, reasons why translating in that way, and effects on it are lacking. This paper will under the direction of theories of fuzzy language and cultural context, picking representative instances mainly from Gu Hongming’s translation version to make a brief analysis. It comes out that main translation strategies are noting, paraphrasing, expounding, and omitting. Plus, reasons resulting in fuzziness will be illustrated, such as original characteristics of language itself，writing style, different culture backgrounds and so on. Moreover, it owns both benefits and drawbacks, such as providing more possibilities for translators to translate in the way which they believe is the best but there still have so much disputation among different versions. The aim of this thesis is through the deliberate statement, giving a little enlightenment towards other Chinese traditional works’ translation, especially fuzziness’s translation.

Risk Assessment of Sudden Water Pollution Accidents Associated with Dangerous Goods Transportation on the Cross-Tributary Bridges of Baiyangdian Lake

The issue of sudden water pollution resulting from accidents is a challenging environmental problem to address. The frequency of transport accidents involving hazardous materials over tributary bridges is steadily rising due to rapid industrialization and urbanization processes. This trend poses a significant threat to both the water’s ecological environment and human well-being. To effectively mitigate the risks associated with water pollution caused by accidents during the transportation of dangerous goods, this research focused on Baiyangdian Lake, the largest freshwater lake in North China. Thid study employed the expert judgment fuzzy language method and Bayesian network model as analytical tools to assess and analyze the potential risks associated with sudden water pollution accidents caused by the transportation of hazardous materials on bridges spanning tributaries. Through an examination of the various risk factors involved, the research identified four primary indicators and ten secondary indicators. Additionally, an oil leakage accident scenario was simulated, and recommendations for risk prevention and control measures were provided. The findings of the study indicated that: (1) The likelihood of risk associated with driver factors, vehicle emergency factors, fuel tank emergency factors, road factors, and lighting factors is elevated. (2) The probability of a dangerous goods transportation accident occurring on the Baiyangdian cross-tributary bridge is substantial, thereby presenting a potential hazard to both the water environment and human health. (3) Vehicle emergency factors, vehicle wear factors, and weather factors exert a significant influence on the incidence of accidents. (4) The highest likelihood of accidents is associated with a combination of factors, including driver fatigue, vehicle and fuel tank deterioration, and adverse weather conditions. (5) In instances where the vehicle and fuel tank are well-maintained, the probability of accidents is greatest on the cross tributary bridge, particularly when the driver is fatigued, weather conditions are unfavorable, and there is a lack of street lighting during nighttime. Implementing emergency prevention and control measures proved to be an effective approach in mitigating the risk of sudden water pollution accidents. This study offers valuable insights into risk mitigation and management strategies for emergent water pollution incidents, and the framework presented herein can be readily applied to other rivers worldwide confronting comparable risk challenges.

Electricity sale package recommendation method based on unbalanced evaluation and incomplete weight multi - granularity fuzzy language set

Electricity sale package recommendation method based on unbalanced evaluation and incomplete weight multi - granularity fuzzy language set

Exponential information measures-driven Pythagorean fuzzy MADM method and its application to new energy battery supplier evaluation problem

Under the Pythagorean fuzzy environment, this paper presents a multi-attribute decision-making (MADM) model based on exponential entropy measure and exponential similarity measure to evaluate new energy battery supplier’s performance. In this method, the notion of Pythagorean fuzzy linguistic sets (PFLSs) is first introduced by combining the linguistic fuzzy sets (LFSs) and the Pythagorean fuzzy sets (PFSs). Then, the axiomatic definitions of Pythagorean fuzzy entropy and Pythagorean fuzzy similarity measure are developed to measure the degree of uncertainty and similarity between two Pythagorean fuzzy linguistic values (PFLVs). The PFLVs can be expressed by the linguistic membership degree (LMD) and linguistic non-membership degree (LNMD). In addition, we construct two new information measure formulas based on exponential function. Through a series of proofs, we verify that they satisfy the axiomatic conditions of entropy and similarity measure of Pythagorean fuzzy language respectively. On this basis, we research the relationship between the two information measures. Finally, we present a novel Pythagorean fuzzy linguistic MADM model. An example for evaluating performance of new energy battery supplier is given to explain the effectiveness of the newly-developed approach. The stability and validity of the newly-developed approach is performed by sensitivity analysis and comparative analysis.

On Typical Hesitant Fuzzy Languages and Automata

The idea of nondeterministic typical hesitant fuzzy automata is a generalization of the fuzzy automata presented by Costa and Bedregal. This paper, presents the sufficient and necessary conditions for a typical hesitant fuzzy language to be computed by nondeterministic typical hesitant fuzzy automata. Besides, the paper introduces a new class of typical hesitant fuzzy automata with crisp transitions, and we will show that this new class is equivalent to the original class introduced by Costa and Bedregal.

A Two-Stage Large Group Decision-Making Method Based on a Self-Confident Double Hierarchy Interval Hesitant Fuzzy Language

With the development of the cloud computing era, the decision-making environment and algorithm models have become increasingly complex, and traditional decision-making methods have been unable to meet the needs of large group decision-making (LGDM) problems. Firstly, in order to solve this problem, the concept of double hierarchy interval hesitant fuzzy language (DHIHFL) is proposed. Compared with the traditional double hierarchy hesitant fuzzy language (DHHFL), it contains all elements from the lower limit to the upper limit and more comprehensively characterizes the hesitation of language information. Secondly, for LGDM problems, a self-confident double hierarchy interval hesitant fuzzy language (SC-DHIHFL) is developed, and the integration of self-confident degree can better enrich the evaluation information and promote the achievement of group consensus. Thirdly, a new two-stage LGDM method is proposed. The first stage is clustering and grouping and reaching consensus within the group, and the second stage is the integration of LGDM information. The two-stage method contains novel methods such as expert clustering algorithm, subjective and objective comprehensive weight, consensus degree, and deviation weight considering minority opinions. Finally, the proposed LGDM consensus method is applied to a practical LGDM problem, and the effectiveness is verified by comparative analysis with existing methods.

Pragmatic Analysis of Hedges Used in Defendant's Arguments in Civil Courts--A Case Study of Lao Rongzhi

Hedges are a part of fuzzy language and play an important role in language communication. Since hedges entered into the academic world, there have been numerous researches on hedges. However, few existing studies have analyzed legal discourse from the perspective of Adaptation Theory, and few studies have been conducted on the pragmatic analysis of hedges used in defendants' arguments in civil courts. Therefore, based on the classification method of hedges by Prince, this study conducted a pragmatic analysis of hedges used by defendant in court arguments from the perspective of Adaptation Theory. The trial case of Lao Rongzhi, which has caused a great disturbance in recent years is chosen in this study. It is concluded that defendant often uses multiple hedges to adapt to the context simultaneously, resulting in different communicative effects, such as expressing respect, expressing politeness, arousing sympathy, and avoiding responsibility. The use of hedges is related to the special nature of court trial and the defendant's intention to evade responsibility and obtain a reduction in sentence. By conducting a multidimensional analysis of hedges in defendant’s arguments in court trial, this study aims to enrich the research on hedges in court discourse, increase public attention to defendant discourse, and attempt to provide some inspiration and guidance for defendants to use hedges and for judges, lawyers, and other court participants to respond to hedges.

Collaborative Fuzzy Linguistic Learning to Low-Resource and Robust Decision System Based on Bounded Rationality

Low-resource languages are challenging to process intelligent decision systems due to limited data and resources. As an effective way of processing low-resource languages in intelligent decision systems, fuzzy linguistic approaches excel in transforming original uncertain linguistic information into highly structured data and learning valid decision rules between complex data structures. However, existing fuzzy linguistic methods may not fully capture realistic features of multi-attribute group decision-making (MAGDM), such as incomplete and hesitant linguistic expressions, stable information fusion, and bounded rationality of decision-makers (DMs). Therefore, it is necessary to develop a collaborative fuzzy language learning system based on bounded rationality, low-resource and robust decision-making. Specifically, we present a new multi-granularity (MG) group decision-making (GDM) scheme by using MULTIMOORA (Multi-Objective Optimization by Ratio Analysis plus the full MULTIplicative form) and PT (Prospect Theory) for incomplete hesitant fuzzy linguistic information systems (I-HFL-ISs), where MG GDM aims to discover knowledge from complex MAGDM problems with MG features. To achieve the above goal, we first introduce the concept of MG-I-HFL-ISs to represent incomplete, hesitant and imprecise linguistic evaluation information offered by multiple decision-makers (DMs). Then, we apply a valid transformation scheme to convert MG-I-HFL-ISs into MG-HFL-ISs, and use the MG probability rough set (PRS) to develop a series of MG-HFL-PRSs with the support of MULTIMOORA. Afterwards, an HFL MG GDM method is designed by integrating MULTIMOORA and PT for solving MAGDM problems with MG-I-HFL-ISs. The proposed method can effectively synthesize low-resource languages and mine useful decision-making knowledge. At last, a drug selection case and a simulated case are performed for showing the rationality of the designed HFL MG GDM scheme.

The influence of positive psychology on the competence and compressive ability of “double qualified” university teachers

BackgroundWith the spread of COVID-19, in application-oriented undergraduate colleges, the difficulty of teaching work for “double-qualified” teachers has greatly increased, resulting in enormous work pressure for some teachers, which is not conducive to the development of teaching work and the physical and mental health of teachers.Subjects and MethodsTwenty “double qualified” teachers from a domestic finance and economics college were selected and divided into an experience group and a control group. The evaluation index system of college teachers’ competency and anti-pressure ability is constructed by using hesitant fuzzy language. Teachers in the experience group were trained in positive psychology, and their competency and anti-pressure ability were evaluated before and after the experiment using the evaluation model. The evaluation grade is divided into poor, general, relatively good, good and excellent, and is assigned with integers 1-5 respectively. The measurement type data is displayed in the form of mean ± standard deviation, and the t difference significance test is conducted. The difference significance level is 0.05.ResultsAfter completing the experiment, the statistics are shown in Table 1. Observation Table 1 shows that before the experiment, the P value of the t-test for the competency and compression resistance scores of the two groups of teachers is far greater than 0.05, with no significant difference. However, after the completion of the experiment, the average scores of teachers’ competency and compressive capacity in the experience group were 4.52 and 4.63, respectively, higher than those in the control group, and the P value of the t-test was 0.001, which was considered significant.Table 1.Comparison of competence and compressive ability scores of two groups of “double qualified” financial teachersCompetencyCompressive capacity-Experience groupControl grouptPExperience groupControl grouptPBefore experiment3.15±0.143.15±0.170.4851.5263.88±0.203.86±0.240.5711.639After experiment4.52±0.273.16±0.192.8620.0024.63±0.313.85±0.223.3760.001t3.2150.448--3.8940.472--P0.0011.569--0.0011.738--ConclusionsThis research carried out experiments to verify the effect of positive psychological intervention on improving the competency and psychological pressure resistance of “double qualified” teachers. The experimental results showed that the post-competence and anti-pressure ability of the financial “double qualified” teachers in the experience group after positive psychological intervention were higher than those in the control group, and the difference was significant. The experimental results show that positive psychology training is conducive to improving the negative psychological pressure resistance of the “double qualified” teachers in China, so as to enhance their post competency.

Afterword: “Your time’s expired”: Spatiotemporal Dramaturgies of the Contemporary

Abstract: This afterword responds to the contents of this special issue by returning to Jan Kott’s Szkice o Szekspirze and exploring the fuzzy language around contemporaneity, resonance, and relevance. Contemporaneity in theatrical productions often manifests in either very vague or very specific terms, and often serves a predominantly aesthetic function. Taking the cue of Shakespeare’s time-skipping later plays Pericles and The Winter’s Tale —both of which resist a straightforward depiction of a “now”—and focusing on Cheek by Jowl’s 2018–19 Périclès, Prince de Tyr , this afterword draws together the arguments made throughout this special issue to propose a model of contemporaneity as experiential immediacy, which aligns with recent attempts to understand contemporaneity at the point of reception.

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