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Relevant bibliographies by topics / Linguistic Distance Measures

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Academic literature on the topic 'Linguistic Distance Measures'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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Journal articles on the topic "Linguistic Distance Measures"

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Wichmann, Søren, Eric W. Holman, Dik Bakker, and Cecil H. Brown. "Evaluating linguistic distance measures." Physica A: Statistical Mechanics and its Applications 389, no. 17 (2010): 3632–39. http://dx.doi.org/10.1016/j.physa.2010.05.011.

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Leonishiya, A., and John Robinson. "Varieties of Linguistic Intuitionistic Fuzzy Distance Measures for Linguistic Intuitionistic Fuzzy TOPSIS Method." Indian Journal Of Science And Technology 16, no. 33 (2023): 2653–62. http://dx.doi.org/10.17485/ijst/v16i33.640-icrsms.

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A, Leonishiya, and Robinson John. "Varieties of Linguistic Intuitionistic Fuzzy Distance Measures for Linguistic Intuitionistic Fuzzy TOPSIS Method." Indian Journal of Science and Technology 16, no. 33 (2023): 2653–62. https://doi.org/10.17485/IJST/v16i33.640-icrsms.

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Abstract <strong>Objective:</strong> In this paper we propose various Linguistic Intuitionistic Fuzzy Distance Measures (LIFDMs) for Linguistic Intuitionistic Fuzzy Sets (LIFSs) which are then utilized in the Linguistic Intuitionistic Fuzzy-Technique of Order Preference by Similarity to Ideal Solution (LIF-TOPSIS) method of Decision Support Systems (DSS). <strong>Methods:</strong> Some novel distance measures including membership, non-membership degrees and the linguistic index and distance measures based on Hausdorff metric are proposed in this work and related theorems are pro

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Li, Wei, and Shouzhen Zeng. "Uncertain Linguistic Aggregation Distance Measures and Their Application to Group Decision Making." Journal of Applied Mathematics 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/563650.

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We introduce a method based on distance measures for group decision making under uncertain linguistic environment. We develop some uncertain linguistic aggregation distance measures called the uncertain linguistic weighted distance (ULWD) measure, the uncertain linguistic ordered weighted distance (ULOWD) measure, and the uncertain linguistic hybrid weighted distance (ULHWD) measure. We study some of their characteristic, and we prove that the ULWD and the ULOWD are special cases of the ULHWD measure. Finally, we develop an application of the ULHWD measure in a group decision making problem co

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Wu, Shuangsheng, Jie Lin, and Zhenyu Zhang. "New distance measures of hesitant fuzzy linguistic term sets." Physica Scripta 96, no. 1 (2020): 015002. http://dx.doi.org/10.1088/1402-4896/abc385.

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Meng, Fanyong, Yige Yuan, and Xiaohong Chen. "Several Generalized Interval-Valued 2-Tuple Linguistic Interval Distance Measures and Their Application." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 25, no. 05 (2017): 759–86. http://dx.doi.org/10.1142/s0218488517500337.

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Interval-valued linguistic variables are efficient tools to express the decision makers’ uncertain qualitative judgments. Considering the application of interval-valued linguistic variables, this paper proposes an interval distance measure, which is then used to define interval-valued linguistic interval distance measures by combining the 2-tuple linguistic representation model. To reflect the interactions between elements in a set, three correlative interval distance measures on intervalvalued linguistic variables are proposed. Meanwhile, several models designed to obtain the optimal weightin

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Yu, Guansheng, Shouzhen Zeng, and Chonghui Zhang. "Single-Valued Neutrosophic Linguistic-Induced Aggregation Distance Measures and Their Application in Investment Multiple Attribute Group Decision Making." Symmetry 12, no. 2 (2020): 207. http://dx.doi.org/10.3390/sym12020207.

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This paper studied the single-valued neutrosophic linguistic distance measures based on the induced aggregation method. Firstly, we proposed a single-valued neutrosophic linguistic-induced ordered weighted averaging distance (SVNLIOWAD) measure, which is a new extension of the existing distance measures based on the induced aggregation view. Then, based on the proposed SVNLIOWAD, a novel induced distance for single-valued neutrosophic linguistic sets, namely the single-valued neutrosophic linguistic weighted induced ordered weighted averaging distance (SVNLWIOWAD), was developed to eliminate t

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Tan, Qian-Yun, Cui-Ping Wei, Qi Liu, and Xiang-Qian Feng. "The Hesitant Fuzzy Linguistic TOPSIS Method Based on Novel Information Measures." Asia-Pacific Journal of Operational Research 33, no. 05 (2016): 1650035. http://dx.doi.org/10.1142/s0217595916500354.

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Hesitant fuzzy linguistic term sets (HFLTSs) have attracted lots of attention recently due to their distinguished power and efficiency for dealing with multi-criteria decision making. To extend the applicability of HFLTSs, this paper first presents a more concise comparison formula of hesitant fuzzy linguistic term sets based on probability criterion of uniform distribution and develops novel distance measures considering the hesitance degree. Next, an aggregation scheme is designed to integrate OWD measure into the TOPSIS analysis procedure, in which we calculate different criterion weights a

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Wang, Juxiang, Jian Yuan, Jiajing Zhang, and Miao Tang. "A Novel Group Decision-Making Method Based on Generalized Distance Measures of PLTSs on E-Commerce Shopping." Complexity 2021 (June 9, 2021): 1–16. http://dx.doi.org/10.1155/2021/5553343.

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In multiattribute group decision-making (MAGDM), due to quantity, fuzziness, and complexity of evaluation linguistic information on commodities, traditional distance measures need to be extended to the integration of evaluation information under a multigranular probabilistic linguistic environment. A more reasonable method is proposed to deal with the missing value in the evaluation information. On the basis of the generalized distance measures and filling in the missing evaluation information, some novel distance measures between two multigranular probabilistic linguistic term sets (PLTSs) ar

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Shan, Meng-Meng, Ping Li, and Hu-Chen Liu. "Interval 2-Tuple Linguistic Distance Operators and Their Applications to Supplier Evaluation and Selection." Mathematical Problems in Engineering 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/9893214.

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With respect to multicriteria supplier selection problems with interval 2-tuple linguistic information, a new decision making approach that uses distance measures is proposed. Motivated by the ordered weighted distance (OWD) measures, in this paper, we develop some interval 2-tuple linguistic distance operators such as the interval 2-tuple weighted distance (ITWD), the interval 2-tuple ordered weighted distance (ITOWD), and the interval 2-tuple hybrid weighted distance (ITHWD) operators. These aggregation operators are very useful for the treatment of input data in the form of interval 2-tuple

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Dissertations / Theses on the topic "Linguistic Distance Measures"

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Davis, Nathan Scott. "An Analysis of Document Retrieval and Clustering Using an Effective Semantic Distance Measure." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2674.pdf.

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Sooful, Jayren Jugpal. "Automated phoneme mapping for cross-language speech recognition." Diss., Pretoria [s.n.], 2004. http://upetd.up.ac.za/thesis/available/etd-01112005-131128.

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Books on the topic "Linguistic Distance Measures"

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Chiswick, Barry R. Linguistic distance: A quantitative measure of the distance between English and other languages. IZA, 2004.

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Bove, Vincenzo, Chiara Ruffa, and Andrea Ruggeri. Composing Peace. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198790655.001.0001.

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The book explores how diversity in United Nations’ peace mission composition affects peacekeeping effectiveness. It identifies four key dimensions of composition: Blue Helmets’ field diversity, top mission leadership diversity (between Force Commander and Special Representative of the Secretary General), vertical leadership distance (Leadership-Blue Helmets), and horizontal distance with the local population. Each dimension of diversity of mission is measured as linguistic, geographical, and religious distance. Our book conceptualizes original mechanisms—i. resolve commitment; ii. informative

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Book chapters on the topic "Linguistic Distance Measures"

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Lin, Mingwei, and Zeshui Xu. "Probabilistic Linguistic Distance Measures and Their Applications in Multi-criteria Group Decision Making." In Soft Computing Applications for Group Decision-making and Consensus Modeling. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60207-3_24.

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Sperlich, Darcy. "Measures of anaphoric-reflexive acquisition in Chinese." In Language Faculty and Beyond. John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/lfab.18.06spe.

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This chapter investigates the second language acquisition of the Chinese reflexive ziji ‘self’ by English and Korean speakers. The aim is to utilize cognitive and behavioural measures in order to investigate the hypothesis that Chinese and Korean reflexives are pragmatically regulated, while English reflexives are syntactically governed. The measures used are reaction timing, confidence levels and knowledge source attribution. The experiment specifically examines how a processing account of reflexives can support a pragmatic/syntactic distinction of reflexive regulation in linguistic theory by observing how long-distance and local binding is achieved in neutral and biased contexts. Results reveal that English and Korean learners of Chinese have differing sources of language transfer affecting their interpretation of Chinese ziji. Overall, the measures obtained shows their power in understanding what underlies traditional antecedent judgements.

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Berkachy, Rédina. "Evaluation of Linguistic Questionnaire." In The Signed Distance Measure in Fuzzy Statistical Analysis. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76916-1_7.

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Marathe, Meghana, and Graeme Hirst. "Lexical Chains Using Distributional Measures of Concept Distance." In Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12116-6_24.

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Gibson, Andy. "Singing as a Dimension of Linguistic Variation." In Dimensions of Linguistic Variation. Oxford University PressNew York, 2025. https://doi.org/10.1093/oso/9780197533499.003.0029.

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Abstract The number of sung voices enshrined in recordings is growing exponentially, tagged with varying types and amounts of metadata. This chapter considers both why and how a linguist might build and analyse a corpus of song. Sociolinguistic variation in popular song is structured primarily around musical genre, with singers adopting genre-appropriate norms that may differ from their spoken vernacular. Building a corpus of song requires the researcher to collect a range of metadata in addition to the social characteristics of a singer, including musical genre (perhaps aided by music information retrieval tools), degree of ‘singiness’, measures of a singer’s commercial orientation, and exploration of a singer’s identity goals (e.g., intended role distance). The practical steps for building a corpus of song are discussed, covering copyright issues, the acquisition of audio, transcription and alignment of text with audio, and the use of corpus management tools.

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Challa, Krishnaveer Abhishek, and Jawahar Annabattula. "Computational Linguistic Distances and Big Data." In Exploring the Convergence of Big Data and the Internet of Things. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2947-7.ch005.

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Linguistic distance has always been an inter-language issue, but English being a interwoven cluster of rhyming words, homophones, tenses etc., has turned linguistic distance into an intra-language unit to measure the similarity of sounds. In many theoretical and applied areas of computational linguistics i.e., Big Data, researchers operate with a notion of linguistic distance or, conversely, linguistic similarity has become the means to optimise speech recognition systems. The present research paper focuses on the mentioned lines as an attempt to turn the existing systems from delivering good performance to perfect performance, especially in the area of Big Data.

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"Linguistic distance: A quantitative measure of the distance between English and other languages." In The Economics of Language. Routledge, 2007. http://dx.doi.org/10.4324/9780203963159-33.

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Mahapatra, Biplab Sinha, Mihir Baran Bera, Manoj Kumar Mondal, and Pinaki Pratim Acharjya. "A Probabilistic Approach for Renewable Energy Alternative Selection Through Correlation-Based Neutrosophic TOPSIS Approach." In Advances in Chemical and Materials Engineering. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-3204-7.ch012.

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The selection of renewable energy alternatives becomes critical due to several quantitative and qualitative factors describing the criteria. Often these criteria cannot be appropriately quantified due to linguistic assessment. Hence, selecting renewable energy alternatives becomes a complex, uncertain multi-criteria decision-making (MCDM) problem. Several soft set-based TOPSIS approaches are used to solve uncertain MCDM problems. In this chapter, the authors introduce a neutrosophic soft set-based TOPSIS approach to solve MCDM problems in an uncertain situation. The TOPSIS methods calculate the relative measure of distance between its positive ideal solution (PIS) and negative ideal solution (NIS). This distance is often measured by Euclidean or Hamming techniques which create ambiguity and computational complexities. The authors introduce a correlation-based TOPSIS approach to solve an MCDM problem to avoid this ambiguity and computational hazards. A numerical discussion of renewable energy alternative selection is given to establish the proposed approach.

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Ginsburgh, Victor, and Shlomo Weber. "Linguistic, Genetic, and Cultural Distances: How Far Is Nostratic?" In How Many Languages Do We Need? Princeton University Press, 2011. http://dx.doi.org/10.23943/princeton/9780691136899.003.0004.

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This chapter discusses the linguistic, genetic, and cultural aspects of a society or a nation. These aspects are often correlated, since all three are closely linked not only to nature but also to learning and history, that is, nurture. One can therefore wonder when it is appropriate to choose one or the other in representing the proximity of individuals or groups to which they belong. In some cases, one of the measures is obvious. This is so when describing the difficulty of acquiring a foreign language, though even here there may be other types of proximities at work between, say, a Swedish and a Danish speaker than the mere proximity of the two languages. Otherwise there is no obvious answer, and certainly no theory to invoke.

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Topal Altindiş, Zehra. "Perspective Chapter: New Approaches to the Assessment of Domain-Specific Creativity." In Creativity [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.102311.

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Science and technology getting continue to advance, the true wealth of our civilization will manifest in human creative output. Accordingly, technological developments offer great opportunities for creativity researches and assessment of creativity. While there are studies in the literature on the creation of computer-based creative products on the one hand, studies on whether creativity can be evaluated automatically or not, on the other hand, have started to attract attention. In addition, field experts turned to new research to understand whether creativity assessment could be automated and measured more quickly and qualitatively, and to explore whether this calculation method could be standardized. Researches conducted in the last 10 years have shown that computational approaches towards semantic distance have made significant contributions to the field both in theory and in practice. However, it can be said that there are very few studies that measure creativity based on semantic distance. This chapter presents a brief overview to discuss whether a computer-based measurement tool that can perform automatic calculations can be used in the evaluation of linguistic creativity in light of the evidence obtained from the literature.

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Conference papers on the topic "Linguistic Distance Measures"

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ZHOU, HUAN, QIN-FANG HU, XIAO ZOU, XIN-FAN WANG, and JIAN-QIANG WANG. "Evaluating Food Packaging Based on OWA Operators and Distance Measures under Hesitant Fuzzy Linguistic Environment." In The 21st IAPRI World Conference on Packaging. DEStech Publications, Inc., 2018. http://dx.doi.org/10.12783/iapri2018/24416.

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Bolshina, A. S., and N. V. Loukachevitch. "GENERATING TRAINING DATA FOR WORD SENSE DISAMBIGUATION IN RUSSIAN." In International Conference on Computational Linguistics and Intellectual Technologies "Dialogue". Russian State University for the Humanities, 2020. http://dx.doi.org/10.28995/2075-7182-2020-19-119-132.

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The best approaches in Word Sense Disambiguation (WSD) are supervised and rely on large amounts of hand-labelled data, which is not always available and costly to create. For the Russian language there is no sense-tagged resource of the size sufficient to train supervised word sense disambiguation algorithms. In our work we describe an approach that is used to create an automatically labelled collection based on the monosemous relatives (related unambiguous entries). The main contribution of our work is that we extracted monosemous relatives that can be located at relatively long distances fro

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