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The structural anchoring of spontaneous analogies ; La sensibilité structurelle des analogies spontanées
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In: https://tel.archives-ouvertes.fr/tel-03276923 ; Psychologie. CY Cergy Paris Université, 2020. Français. ⟨NNT : 2020CYUN1094⟩ (2020)
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Internal Meanings of the Language in Russian-Chinese Translation ... : Передача внутрилингвистических значений в русско-китайском переводе ...
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Preference Similarity Network Structural Equivalence Clustering based Consensus Model
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Abstract:
Open access article ; Social network analysis (SNA) methods have been developed to analyse social structures and patterns of network relationships, although they have been least explored and/or exploited purposely for decision-making processes. In this study, we bridge a gap between SNA and consensus-based decision making by defining undirected weighted preference network from the similarity of expert preferences using the concept of ‘structural equivalence’. Structurally equivalent experts are represented using the agglomerative hierarchical clustering algorithm with complete link function, thus intra-clusters’ experts are high in density and inter-clusters’ experts are rich in sparsity. We derive cluster consensus based on internal and external cohesions, while group consensus is obtained by identifying the highest level consensus at optimal level of clustering. Thus, the clustering based approach to consensus measure contributes to present homogeneity of experts preferences as a whole. In the event of insufficient group consensus state, we construct a feedback mechanism procedure based on clustering that consists of three main phases: (1) identification of experts that contribute less to consensus; (2) identification of a leader in the network; and (3) advice generation. We make use of the centrality concept in SNA as a way of determining the most important person in a network, who is presented as a leader to provide advices in the feedback process. It is proved that the implementation of the proposed feedback mechanism increases consensus and, because of the bounded condition of consensus measure, convergence to sufficient group agreement is guaranteed. The centrality concept is also applied in the construction of a new aggregation operator, namely as cent-IOWA operator, that is used to derive the collective preference relation from which the feasible alternative of consensus solution, based on the concept of dominance, is achieved according to a majority of the central experts in the network, which is represented in this paper by the linguistic quantifier ‘most of.’ For validation purposes, an existing literature study is used to perform a comparative analysis from which conclusions are drawn and explained.
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Keyword:
Agglomerative Hierarchical Clustering; Consensus Group Decision Making; IOWA-based aggregation operator; Opinion Similarity; Social Network Analysis; Structural Equivalence
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URL: http://hdl.handle.net/2086/14943
https://doi.org/10.1016/j.asoc.2017.11.022
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The Behavioural and Neural Correlates of Social Cognition: A Dimensional Approach in Youth with Mental Illness
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ФРАКТАЛЬНАЯ СТРУКТУРА ХУДОЖЕСТВЕННОГО ТЕКСТА (НА МАТЕРИАЛЕ РОМАНА ФРЕНСИСА СКОТТА ФИЦДЖЕРАЛЬДА «НОЧЬ НЕЖНА»)
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МОРОЗКИНА Е.А.; САФИНА З.М.. - : Государственное образовательное учреждение высшего профессионального образования Башкирский государственный университет, 2015
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ЛЕКСИКО-СЕМАНТИЧЕСКИЙ ПОДХОД К ИЗУЧЕНИЮ КОНЦЕПТА «БЕЛЫЙ» В РУССКОМ, ТАТАРСКОМ, АНГЛИЙСКОМ И НЕМЕЦКОМ ЯЗЫКАХ
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Mining Features from the Object-Oriented Source Code of Software Variants by Combining Lexical and Structural Similarity
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In: 14th International Conference on Information Reuse and Integration ; IRI: Information Reuse and Integration ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00862512 ; IRI: Information Reuse and Integration, Aug 2013, Las Vegas, NV, United States. pp.586-593, ⟨10.1109/IRI.2013.6642522⟩ ; http://www.sis.pitt.edu/~iri2013/ (2013)
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United States (2013)" Mining Features from the Object-Oriented Source Code of Software Variants by Combining Lexical and Structural Similarity
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In: http://hal.archives-ouvertes.fr/docs/00/86/25/12/PDF/rafat_v3_MH.pdf (2013)
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An Information-Theoretic Measure for Face Recognition: Comparison with Structural Similarity
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In: http://www.thesai.org/Downloads/IJARAI/Volume3No11/Paper_2-An_Information-Theoretic_Measure_for_Face.pdf?height%3D100%%26iframe%3Dtrue%26width%3D100%
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