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1

Batyushkina, Marina V. "Legal and linguistic uncertainty of terms and norms of Russian laws." Russian Language Studies 19, no. 2 (2021): 138–54. http://dx.doi.org/10.22363/2618-8163-2021-19-2-138-154.

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The article presents the results of a study of de jure (modeled) and de facto (real) interpretation of the concept legal and linguistic uncertainty, which is relevant for modern Russian legal discourse, lawmaking, judicial, and expert practice. These features are typical for Russian legal discourse, lawmaking, judicial, expert practice, as well as the scientific sphere of communication. The article is aimed at studying the objective and subjective reasons for legal and linguistic uncertainty of legislative terms and legislative norms; analysing the conditions under which uncertainty is conside
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Juanchich, Marie, Amélie Gourdon-Kanhukamwe, and Miroslav Sirota. "“I am uncertain” vs “It is uncertain”. How linguistic markers of the uncertainty source affect uncertainty communication." Judgment and Decision Making 12, no. 5 (2017): 445–65. http://dx.doi.org/10.1017/s1930297500006483.

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AbstractTwo psychological sources of uncertainty bear implications for judgment and decision-making: external uncertainty is seen as stemming from properties of the world, whereas internal uncertainty is seen as stemming from lack of knowledge. The apparent source of uncertainty can be conveyed through linguistic markers, such as the pronoun of probability phrases (e.g., I am uncertain vs. It is uncertain). Here, we investigated whether and when speakers use different pronoun subjects as such linguistic markers (Exp. 1 and 2) and what hearers infer from them (Exp. 3 and 4). Speakers more often
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Stranovská, Eva, and Daša Munková. "Uncertainty and Linguistic Intervention Programme." Procedia - Social and Behavioral Sciences 171 (January 2015): 1410–15. http://dx.doi.org/10.1016/j.sbspro.2015.01.261.

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Mahapatra, Rupkumar, Sovan Samanta, Madhumangal Pal, Tofigh Allahviranloo, and Antonios Kalampakas. "A Study on Linguistic Z-Graph and Its Application in Social Networks." Mathematics 12, no. 18 (2024): 2898. http://dx.doi.org/10.3390/math12182898.

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This paper presents a comprehensive study of the linguistic Z-graph, which is a novel framework designed to analyze linguistic structures within social networks. By integrating concepts from graph theory and linguistics, the linguistic Z-graph provides a detailed understanding of language dynamics in online communities. This study highlights the practical applications of linguistic Z-graphs in identifying central nodes within social networks, which are crucial for online businesses in market capture and information dissemination. Traditional methods for identifying central nodes rely on direct
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Walley, Peter, and Gert de Cooman. "A behavioral model for linguistic uncertainty." Information Sciences 134, no. 1-4 (2001): 1–37. http://dx.doi.org/10.1016/s0020-0255(01)00090-1.

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6

Nakamura, Kazuo. "Uncertainty of Linguistic Expressions and Fuzzy Approach." Japanese journal of ergonomics 28, Supplement (1992): 38–39. http://dx.doi.org/10.5100/jje.28.supplement_38.

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Sukhoverkhov, Anton, Dorothy DeWitt, Ioannis Manasidi, Keiko Nitta, and Vladimir Krstić. "Lost in Machine Translation: Contextual Linguistic Uncertainty." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 2. Jazykoznanije, no. 4 (December 2019): 129–44. http://dx.doi.org/10.15688/jvolsu2.2019.4.10.

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The article considers the issues related to the semantic, grammatical, stylistic and technical difficulties currently present in machine translation and compares its four main approaches: Rule-based (RBMT), Corpora-based (CBMT), Neural (NMT), and Hybrid (HMT). It also examines some "open systems", which allow the correction or augmentation of content by the users themselves ("crowdsourced translation"). The authors of the article, native speakers presenting different countries (Russia, Greece, Malaysia, Japan and Serbia), tested the translation quality of the most representative phrases from t
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Harris, Tony. "Linguistics in applied linguistics : a historical overview." Journal of English Studies 3 (May 29, 2002): 99. http://dx.doi.org/10.18172/jes.72.

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This paper looks at some of the underlying reasons which might explain the uncertainty surrounding applied linguistics as an academic enquiry. The opening section traces the emergence of the field through its professional associations and publications and identifies second and foreign language (L2) teaching as its primary activity. The succeeding section examines the extent to which L2 pedagogy, as a branch of applied linguistics, is conceived within a theoretical linguistic framework and how this might have changed during a historical period that gave rise to Chomskyan linguistics and the not
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XU, ZESHUI. "AN APPROACH TO PURE LINGUISTIC MULTIPLE ATTRIBUTE DECISION MAKING UNDER UNCERTAINTY." International Journal of Information Technology & Decision Making 04, no. 02 (2005): 197–206. http://dx.doi.org/10.1142/s0219622005001465.

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The pure linguistic multiple attribute decision making problems are studied, in which the information about the attribute weights are expressed in the form of linguistic variables or uncertain linguistic variables, and the attribute values take the form of uncertain linguistic variables. The operational laws of uncertain linguistic variables are introduced, and two uncertain linguistic aggregation operators called linguistic weighted aggregation operator and uncertain linguistic weighted aggregation operator are developed based on uncertain linguistic variables and their operational laws. An a
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Bidin, Mohd Syafiq, Abd Fatah Wahab, Mohammad Izat Emir Zulkifly, and Rozaimi Zakaria. "GENERALIZED FUZZY LINGUISTIC CUBIC B-SPLINE CURVE MODEL FOR UNCERTAINTY FUZZY LINGUISTIC DATA." Advances and Applications in Discrete Mathematics 25, no. 2 (2020): 285–302. http://dx.doi.org/10.17654/dm025020285.

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Aydogan, Sena, Diyar Akay, Fatih Emre Boran, and Ronald R. Yager. "An Extension of Fuzzy Linguistic Summarization Considering Probabilistic Uncertainty." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 26, no. 02 (2018): 195–215. http://dx.doi.org/10.1142/s0218488518500101.

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Linguistic summarization provides to express large volumes of quantitative data in easy understandable natural language based forms. While various methods have been recommended for linguistic summarization, there is not any approach for linguistic summarization where possibilistic and probabilistic uncertainties exist together in data. In this study, we establish a tie between Z-number concept and type-I and type-II quantified sentences in order to calculate the truth degree of a linguistic summary covering possibilistic and probabilistic information. The proposed approach employs copulas to o
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12

Rowland, Tim. "Hedges in mathematics talk: Linguistic pointers to uncertainty." Educational Studies in Mathematics 29, no. 4 (1995): 327–53. http://dx.doi.org/10.1007/bf01273910.

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Larina, Tatiana, Vladimir Ozyumenko, and Douglas Mark Ponton. "Persuasion strategies in media discourse about Russia: Linguistic ambiguity and uncertainty." Lodz Papers in Pragmatics 15, no. 1 (2019): 3–22. http://dx.doi.org/10.1515/lpp-2019-0002.

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Abstract The paper explores the role of the media in influencing public opinion from an inferential-pragmatic perspective. It presents preliminary results of the study focused on representation of Russia in Western newspapers. Drawing on Critical Discourse Analysis (Fairclough 1995,2001; van Dijk 2009) and media linguistics (Fowler 1991, Richardson 2007, among others) the study centres around the linguistic means of construing ambiguity/uncertainty, viewed as a strategy of persuasion. We mostly focus on the semantics of certain groups of words and other textual features such as indefinite pron
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14

Guo, Wen-Tao, Van-Nam Huynh, and Songsak Sriboonchitta. "A proportional linguistic distribution based model for multiple attribute decision making under linguistic uncertainty." Annals of Operations Research 256, no. 2 (2016): 305–28. http://dx.doi.org/10.1007/s10479-016-2356-4.

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15

Metcalf, S. J., and K. J. Wallace. "Ranking biodiversity risk factors using expert groups – Treating linguistic uncertainty and documenting epistemic uncertainty." Biological Conservation 162 (June 2013): 1–8. http://dx.doi.org/10.1016/j.biocon.2013.03.005.

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16

Baeza-Serrato, Roberto. "Bayesian Linguistic Conditional System as an Attention Mechanism in a Failure Mode and Effect Analysis." Applied Sciences 14, no. 3 (2024): 1126. http://dx.doi.org/10.3390/app14031126.

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Fuzzy Inference System behavior can be described qualitatively using a natural language, which is known as the expert-driven approach to handling non-statistical uncertainty. Generally, practical applications involve conceptualizing the problem by integrating linguistic uncertainty and using data by integrating stochastic uncertainty. The proposed probabilistic fuzzy system uses the Gaussian Density Function (GDF) to assign a probability to input variables integrating stochastic uncertainty. In addition, a linguistic interpretation is used to project various categories of the GDF integrating l
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17

Wei, Cuiping, Rosa M. Rodriguez, and Luis Martinez. "Uncertainty Measures of Extended Hesitant Fuzzy Linguistic Term Sets." IEEE Transactions on Fuzzy Systems 26, no. 3 (2018): 1763–68. http://dx.doi.org/10.1109/tfuzz.2017.2724023.

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18

Bordogna, Gloria, and Gabriella Pasi. "Modeling linguistic qualifiers of uncertainty in a fuzzy database." International Journal of Intelligent Systems 15, no. 11 (2000): 995–1014. http://dx.doi.org/10.1002/1098-111x(200011)15:11<995::aid-int2>3.0.co;2-j.

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19

Neupane, Ujjwal. "An Exploration of Linguistic Anthropological Expression: Reading rē (रे) in Nepali Language and Culture". Spectrum 3, № 1 (2025): 75–90. https://doi.org/10.3126/spectrum.v3i1.77370.

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This research explores the various uses of the particle rē (रे) in Nepali discourse, emphasizing its role as a marker of uncertainty, politeness, and affective nuance. The research employs linguistic anthropology and discourse analysis as theoretical frameworks, such as Dell Hymes' SPEAKING model, Pierre Bourdieu's concept of linguistic capital, and the Sapir-Whorf hypothesis. The analysis of expressions of rē (रे), as a versatile linguistic device, reveals that the particle conveys uncertainty, mediates assertions, and fosters social harmony. The study underscores the cultural and social impo
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20

Dubois, Didier, Allel Hadjali, and Henri Prade. "Fuzziness and Uncertainty in Temporal Reasoning." JUCS - Journal of Universal Computer Science 9, no. (9) (2003): 1168–94. https://doi.org/10.3217/jucs-009-09-1168.

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This paper proposes a general discussion of the handling of imprecise and uncertain information in temporal reasoning in the framework of fuzzy sets and possibility theory. The introduction of fuzzy features in temporal reasoning can be related to different issues. First, it can be motivated by the need of a gradual, linguistic-like description of temporal relations even in the face of complete information. An extension of Allen relational calculus is proposed, based on fuzzy comparators expressing linguistic tolerance. Fuzzy Allen relations are defined from a fuzzy partition made by three pos
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Ramani, Divya, Michael Soh, Jerusalem Merkebu, et al. "Examining the patterns of uncertainty across clinical reasoning tasks: effects of contextual factors on the clinical reasoning process." Diagnosis 7, no. 3 (2020): 299–305. http://dx.doi.org/10.1515/dx-2020-0019.

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AbstractObjectivesUncertainty is common in clinical reasoning given the dynamic processes required to come to a diagnosis. Though some uncertainty is expected during clinical encounters, it can have detrimental effects on clinical reasoning. Likewise, evidence has established the potentially detrimental effects of the presence of distracting contextual factors (i.e., factors other than case content needed to establish a diagnosis) in a clinical encounter on clinical reasoning. The purpose of this study was to examine how linguistic markers of uncertainty overlap with different clinical reasoni
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22

Geng, Xiuli, Yunting Jin, and Yongzheng Zhang. "A Novel Group Decision-Making Approach for Hesitant Fuzzy Linguistic Term Sets and Its Application to VIKOR." Mathematical Problems in Engineering 2020 (July 27, 2020): 1–20. http://dx.doi.org/10.1155/2020/7682983.

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This paper develops a novel group decision-making (GDM) approach for solving multiple-criteria group decision-making (MCGDM) problems with uncertainty. The hesitant fuzzy linguistic term sets (HFLTSs) are applied to elicit the decision makers’ linguistic preferences due to their distinguished efficiency and flexibility in representing uncertainty. However, the existing context-free grammar for linguistic description cannot allow generating the linguistic expressions completely free to limit the richness of HFLTSs, and the related methods for dealing with HFLTSs also have limitations in aggrega
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23

Zhang, Ai Ping, and Tong Jun Zhan. "Modified Proportional 2-Tuple and its Application in Uncertainty Environment." Advanced Materials Research 981 (July 2014): 267–74. http://dx.doi.org/10.4028/www.scientific.net/amr.981.267.

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A modified proportional 2-tuple was proposed to apply to the term sets in that the distance of the adjacent tems is not equal,and the comparison methods as well as the aggregation operators were proposed too.And the modified proportional 2-tuple fuzzy linguistic representation model is extended to uncertainty modified proportional 2-tuple fuzzy linguistic representation model,and the new comparison rule and aggregation operators were provided.
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Labella, Álvaro, Rosa M. Rodríguez, and Luis Martínez. "Extending the linguistic decision suite FLINTSTONES to deal with comparative linguistic expressions with symbolic translation information." Journal of Intelligent & Fuzzy Systems 39, no. 5 (2020): 6245–58. http://dx.doi.org/10.3233/jifs-189093.

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Uncertainty is so common in real decision situations that it has given rise to a new decision making approach so-called linguistic decision making, in which such uncertainty is modeled by using linguistic information. Many contributions have been proposed in order to solve LDM problems by following a Computing with Words (CW) approach to obtain linguistic outputs from linguistic premises by emulating the human beings’ reasoning process. Nowadays, there are several LDM models that, together with the complexity of LDM problems, make almost impossible to find a proper solution for these problems
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25

Hansson, Sven Ove. "Can Uncertainty Be Quantified?" Perspectives on Science 30, no. 2 (2022): 210–36. http://dx.doi.org/10.1162/posc_a_00412.

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Abstract In order to explore the quantifiability and formalizability of uncertainty a wide range of uncertainties are investigated. They are summarized under eight main categories: factual, possibilistic, metadoxastic, agential, interactive, value, structural, and linguistic uncertainty. This includes both classical uncertainty and the uncertainties commonly called great, deep, or radical. For five of the eight types of uncertainty, both quantitative and non-quantitative formalizations are meaningful and available. For one of them (interactive uncertainty), only non-quantitative formalizations
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Liu, Xin, Xiaoying Song, Wei Gao, Li Zou, and Álvaro Labella Romero. "A Decision Making Approach Based on Hesitant Fuzzy Linguistic-Valued Credibility Reasoning." JUCS - Journal of Universal Computer Science 27, no. 1 (2021): 40–64. http://dx.doi.org/10.3897/jucs.64595.

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Credibility reasoning has attracted a lot of attention due to its distinguished power and efficiency in representing uncertainty and vagueness within the process of reasoning and decision making. Aiming at the problem of inaccurate credibility estimation in uncertainty reasoning and making experts to express hesitant preferences better in evaluation reasoning process, this paper introduces hesitant fuzzy linguistic term set into credibility uncertainty reasoning. First, we propose hesitant fuzzy linguistic-valued credibility (HLCF), and establish the knowledge representation model of the hesit
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Liu, Xin, Xiaoying Song, Wei Gao, Li Zou, and Álvaro Labella Romero. "A Decision Making Approach Based on Hesitant Fuzzy Linguistic-Valued Credibility Reasoning." JUCS - Journal of Universal Computer Science 27, no. (1) (2021): 40–64. https://doi.org/10.3897/jucs.64595.

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Credibility reasoning has attracted a lot of attention due to its distinguished power and efficiency in representing uncertainty and vagueness within the process of reasoning and decision making. Aiming at the problem of inaccurate credibility estimation in uncertainty reasoning and making experts to express hesitant preferences better in evaluation reasoning process, this paper introduces hesitant fuzzy linguistic term set into credibility uncertainty reasoning. First, we propose hesitant fuzzy linguistic-valued credibility (HLCF), and establish the knowledge representation model of the hesit
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Labella, Álvaro, Rosa M. Rodríguez, Ahmad A. Alzahrani, and Luis Martínez. "A Consensus Model for Extended Comparative Linguistic Expressions with Symbolic Translation." Mathematics 8, no. 12 (2020): 2198. http://dx.doi.org/10.3390/math8122198.

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Consensus Reaching Process (CRP) is a necessary process to achieve agreed solutions in group decision making (GDM) problems. Usually, these problems are defined in uncertain contexts, in which experts do not have a full and precise knowledge about all aspects of the problem. In real-world GDM problems under uncertainty, it is usual that experts express their preferences by using linguistic expressions. Consequently, different methodologies have modelled linguistic information, in which computing with words stands out and whose basis is the fuzzy linguistic approach and their extensions. Even t
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Canfield, Matthew C. "Managing Uncertainty: The Linguistic Transformation of Markets, Governance, and Politics." PoLAR: Political and Legal Anthropology Review 44, no. 1 (2021): 269–78. http://dx.doi.org/10.1111/plar.12398.

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Song, Jamie Seoyeon, Sameer B. Srivastava, Matthew Corritore, Timothy Hannigan, Derek Harmon, and Jamie Seoyeon Song. "Co-Construction of Shared Understandings Under Uncertainty: Computational Linguistic Approaches." Academy of Management Proceedings 2020, no. 1 (2020): 18250. http://dx.doi.org/10.5465/ambpp.2020.18250symposium.

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31

Zuczkowski, Andrzej. "The communication of certainty and uncertainty: Linguistic, psychological, philosophical aspects." Language and Dialogue 3, no. 2 (2013): 329–34. http://dx.doi.org/10.1075/ld.3.2.13zuc.

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32

Cira, Theresa M., Kathy Quick, and Robert C. Venette. "Watch your Language: Consequences of Linguistic Uncertainty for Insect Management." American Entomologist 65, no. 4 (2019): 258–67. http://dx.doi.org/10.1093/ae/tmz068.

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33

Zwick, Rami, and Thomas S. Wallsten. "Combining stochastic uncertainty and linguistic inexactness: Theory and experimental evaluation." International Journal of Approximate Reasoning 2, no. 2 (1988): 112. http://dx.doi.org/10.1016/0888-613x(88)90103-x.

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Müller, Marcus. "Corpus Approaches to Analysing Uncertainty and Ignorance in Academic Discourse." Fachsprache 45, no. 1-2 (2023): 28–47. http://dx.doi.org/10.24989/fs.v45i1-2.2232.

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The article provides an overview of corpus approaches to researching linguistic practices for dealing with ignorance and uncertainty. Uncertainty and ignorance are first and foremost epistemological or socio-psychological categories rather than linguistic ones. But they can be applied to a corpus linguistic setting. Based on a presentation of the central terms and their relevance for digital corpus research, this paper exemplifies proposals for operationalisations using a corpus of political science texts from the field of International Relations (DIReC). It gives an overview of various method
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Simon, Niklas, and Nina Janich. "Konstitution von Nichtwissen und Unsicherheit im Sprachgebrauch – ein programmatischer Systematisierungsversuch." Fachsprache 45, no. 1-2 (2023): 5–27. http://dx.doi.org/10.24989/fs.v45i1-2.2235.

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In this paper, we propose a systematisation of the constitution of ignorance and uncertaintyin language use and interaction. To this end, we first distinguish between a local anda global perspective on ignorance and uncertainty constitution. For the local level of ignoranceand uncertainty constitution, we propose that four different types of linguistically indexed attributionsof ignorance and uncertainty can be distinguished, with which the speaker/writer refersto different knowledge domains involved in the social process of local knowledge constitution.We then provide an overview of the inven
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Tüysüz, Fatih. "Simulated Hesitant Fuzzy Linguistic Term Sets-Based Approach for Modeling Uncertainty in AHP Method." International Journal of Information Technology & Decision Making 17, no. 03 (2018): 801–17. http://dx.doi.org/10.1142/s0219622018500074.

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One of the important points in decision-making is representing the uncertainty. There have been developed approaches which are based on either fuzzy sets theory or probability theory to model the inherent uncertainty and imprecision in the pairwise comparison process of analytic hierarchy process (AHP). This study proposes a hybrid approach that integrates fuzzy sets theory and simulation technique into AHP method to better represent the uncertainty in decision-making process. The aim of the proposed approach is to benefit the advantages of both probability theory and fuzzy sets theory which m
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Chen, Xiangtang, Bingzhen Sun, Xinrui Zhang, et al. "An approach to multiple attribute decision making based on linguistic value soft rough set and VIKOR method." Journal of Intelligent & Fuzzy Systems 40, no. 5 (2021): 9609–26. http://dx.doi.org/10.3233/jifs-202085.

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Linguistic variable is an effective method of representation the preferences of a decision-maker for inaccuracy available information in decision making under uncertainty. This article investigates a multiple attribute ranking decision making problem with linguistic preference by using linguistic value soft rough set. Firstly, we present the definition of linguistic value fuzzy set by introducing the concept of linguistic variable into the original Zadeh’s fuzzy set. We then define the concept of linguistic value soft set and the pseudo linguistic value soft set over the alternative set and pa
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He, Tingting, Siqi Zhang, Guiwu Wei, Rui Wang, Jiang Wu, and Cun Wei. "CODAS METHOD FOR 2-TUPLE LINGUISTIC PYTHAGOREAN FUZZY MULTIPLE ATTRIBUTE GROUP DECISION MAKING AND ITS APPLICATION TO FINANCIAL MANAGEMENT PERFORMANCE ASSESSMENT." Technological and Economic Development of Economy 26, no. 4 (2020): 920–32. http://dx.doi.org/10.3846/tede.2020.11970.

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Financial management performance evaluation (FMPE) has a significant effect on the identifying an investment chance. We can usually consider FMPE as a multiple attribute group decision making (MAGDM) issue, and the MAGDM method is needed to address it. Uncertainty may be one of the significant factors which could influence the process of MAGDM. In order to handle the uncertainty of group decision-making issues, MAGDM approaches along with 2-tuple linguistic Pythagorean fuzzy sets (2TLPFSs) have been designed. In this essay, CODAS method is extended to 2TLPFSs to tackle MAGDM issues. Linguistic
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Yan, Hong Bin, and Tie Ju Ma. "On Uncertainties of Kansei in Kansei Engineering: A Fuzzy Linguistic Approach." Advanced Materials Research 544 (June 2012): 130–38. http://dx.doi.org/10.4028/www.scientific.net/amr.544.130.

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Kansei Engineering~(KE) has been developed as a methodology to deal with consumers' subjective impressions and images of a product into the design elements of a product. One central step amongst KE is to generate the Kansei profiles of the products. Kansei is a quite subjective, ambiguous, and uncertain concept, which is frequently represented in linguistic forms. Toward this end, this paper tries to cope thoroughly with the uncertainties of Kansei in KE. A probabilistic approach is proposed to generate Kansei profiles involving the ``individual" uncertainty, ``group" uncertainty, and the part
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40

Hudec, Miroslav. "Linguistic Summaries in Small Area Statistics." Austrian Journal of Statistics 43, no. 1 (2014): 63–75. http://dx.doi.org/10.17713/ajs.v43i1.6.

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Data collection in small area statistics also copes with missing values. In the municipal statistics we can recognize more or less similar municipalities and more or less dependent indicators. Therefore, an approach capable to process this uncertainty is desirable. Data produced in small area statistics are valuable source for users. Data dissemination which mimics human reasoning in searching and evaluation data could be a suitable solution. Thus, there is a space for improving both processes by linguistic summaries which are based on fuzzy logic. Finally, the paper discusses future research
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Fabregat-Hernández, Ares, Javier Palanca, and Vicent Botti. "Semantic Categories: Uncertainty and Similarity." Mathematical and Computational Applications 29, no. 6 (2024): 106. http://dx.doi.org/10.3390/mca29060106.

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This paper addresses understanding and categorizing language by using Markov categories to establish a mathematical framework for semantic concepts. This framework enables us to measure the semantic similarity between linguistic expressions within a given text. Furthermore, this approach enables the measurement and control of uncertainty in language categorization and the creation of metrics for evaluating semantic similarity. We provide use cases to demonstrate how the proposed methods can be applied and computed, focusing on their interpretability and the universality of categorical construc
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Gali, Dr Arun Kumar. "Applications of Fuzzy in the Field of Medicine." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 1244–46. http://dx.doi.org/10.22214/ijraset.2022.48163.

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Abstract: In this paper fuzzy sets have been applied to many fields in which uncertainty plays a key role. Medicine, often on the borderline between science and art, is an excellent exponent: vagueness, linguistic uncertainty, hesitation, measurement imprecision, natural diversity, subjectivity all these are prominently present in medical diagnosis.
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Rantanen, Esa, Cecilia Ovesdotter Alm, Tracy Worrell, Nancy Valentage, and Nick Iuliucci. "Linguistic Analysis of Clinical Communications." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 3, no. 1 (2014): 207–13. http://dx.doi.org/10.1177/2327857914031034.

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This project took a unique perspective on the investigation of decision making in healthcare by examining clinician-patient consultation using methods from linguistics and communication. Our goal was to identify cognitive and behavioral patterns in interactions of clinicians-in-trainings with patients that correspond to decision making processes in time constrained situations. Objective measures of clinician-patient communications in both naturalistic and simulated settings is a promising way to examine clinician decision making under uncertainty and time pressure, and to identify specific err
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Pang, Kuo, Chao Fu, Li Zou, Gaoxuan Wang, and Mingyu Lu. "Interval Linguistic-Valued Intuitionistic Fuzzy Concept Lattice and Its Application to Linguistic Association Rule Extraction." Axioms 13, no. 12 (2024): 812. http://dx.doi.org/10.3390/axioms13120812.

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In a world rich with linguistic-valued data, traditional methods often lead to significant information loss when converting such data into other formats. This paper presents a novel approach for constructing an interval linguistic-valued intuitionistic fuzzy concept lattice, which adeptly manages qualitative linguistic information by leveraging the strengths of interval-valued intuitionistic fuzzy sets to represent both fuzziness and uncertainty. First, the interval linguistic-valued intuitionistic fuzzy concept lattice is constructed by integrating interval intuitionistic fuzzy sets, capturin
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45

Galieva, Margarita R. "Theolinguistics: justification of the term." Nizhnevartovsk Philological Bulletin 7, no. 2 (2022): 113–25. http://dx.doi.org/10.36906/2500-1795/22-2/09.

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The article aims to substantiate the expediency of using the term Theolinguistics for the nomination of a new linguistic discipline aimed at studying the interaction of language and religion. Critical analysis of theoretical literature has shown great terminological differences in linguistic works devoted to the study of language and religion such as: religious language, sacred language, the faith language, liturgical language, religious-preaching style, religious style, church-religious style, biblical style, ; confessional style, spiritual speech, religious communication, orthodox linguistic
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Peikert, Tim, Heyno Garbe, and Stefan Potthast. "Risk analysis with a fuzzy-logic approach of a complex installation." Advances in Radio Science 14 (September 28, 2016): 91–96. http://dx.doi.org/10.5194/ars-14-91-2016.

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Abstract. This paper introduces a procedural method based on fuzzy logic to analyze systematic the risk of an electronic system in an intentional electromagnetic environment (IEME). The method analyzes the susceptibility of a complex electronic installation with respect to intentional electromagnetic interference (IEMI). It combines the advantages of well-known techniques as fault tree analysis (FTA), electromagnetic topology (EMT) and Bayesian networks (BN) and extends the techniques with an approach to handle uncertainty. This approach uses fuzzy sets, membership functions and fuzzy logic to
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Салимов Вагиф Гасан. "МОДЕЛИРОВАНИЕ ЛИНГВИСТИЧЕСКОЙ НЕОПРЕДЕЛЕННОСТИ НА ОСНОВЕ Z-ЧИСЕЛ В СИСТЕМАХ МНОГОКРИТЕРИАЛЬНОГО ПРИНЯТИЯ РЕШЕНИЙ". World Science 1, № 3(55) (2020): 34–39. http://dx.doi.org/10.31435/rsglobal_ws/31032020/6969.

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&#x0D; &#x0D; &#x0D; The article is devoted to the problem of multi criteria decision making under linguistic uncertainty. Information of different approaches for modelling linguistic uncertainty have been analyzed. The concept of z- numbers proposed by L. Zadeh have been presented. Z-number is presented as cortege of two fuzzy number A and B, where A is analyzed factor, B is reliability of an assessment. The method of conversion z- numbers into generalized fuzzy numbers have been applied. As test problem have been used supplier selection problem. As decision making model have been used group
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Khoirot, Aifi Umdatun, Zuliati Rohmah, and Desi Puspitasari. "Women’s Linguistic Features in Two Dramas." NOBEL: Journal of Literature and Language Teaching 7, no. 1 (2016): 49–64. http://dx.doi.org/10.15642/nobel.2016.7.1.49-64.

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The present paper aims at describing linguistic features of two women who have two different characteristics—feminine and less feminine—as apparent in “Who’s Afraid of Virginia Woolf” and “The Lover” dramas. Using Robin Lakoff’s (1975) women’s linguistic features, the research found out that not all features occur in the dialogues of the two female characters with other characters. Nine features were applied by Martha in “Who’s Afraid of Virginia Woolf” drama and seven features were used by Sarah in “The Lover.” Based on the analysis of the data, it is uncovered that the use of the women’s lin
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Ahmadi Anvigh, M. "On linguistic approximation of uncertainty quantities based on signal-noise ratio." Communications on Advanced Computational Science with Applications 2013 (2013): 1–10. http://dx.doi.org/10.5899/2013/cacsa-00008.

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Яремчук, Н. А., and Р. С. Семенюк. "METHODS OF TAKING INTO ACCOUNT UNCERTAINTY IN CONSTRUCTION OF LINGUISTIC SCALES." Ukrainian Metrological Journal, no. 3A (November 30, 2020): 77–81. http://dx.doi.org/10.24027/2306-7039.3a.2020.217969.

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