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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 Hits 21 – 40 of 66 21 A T1OWA Fuzzy Linguistic Aggregation Methodology for Searching Feature-based Opinions. Romero, Francisco P.; Homapour, E.; Chiclana, Francisco. - : Elsevier, 2019 BASE Show details 22 Dealing with Incomplete Information in Linguistic Group Decision Making by Means of Interval Type-2 Fuzzy Sets Urena, Raquel; Kou, Gang; Wu, Jian. - : Wiley, 2019 BASE Show details 23 An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and Fusion: Taxonomy and future directions Cong-Cong, Li; Dong, Yucheng; Xu, Yejun. - : Elsevier, 2018 BASE Show details 24 Flexible inverse adaptive fuzzy inference model to identify the evolution of Operational Value at Risk for improving operational risk management Pena, Alejandro; Bonet, Isis; Lochmuller, Christian. - : Elsevier, 2018 BASE Show details 25 A fuzzy credibility model to estimate the operational value at risk using internal and external data of risk events Pena, Alejandro; Bonet, Isis; Lochmuller, Christian. - : Elsevier, 2018 BASE Show details 26 Preference similarity network structural equivalence clustering based consensus group decision making model Kamis, Nor Hanimah; Chiclana, Francisco; Levesley, Jeremy. - : Elsevier, 2018 Abstract: 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. ; Peer-reviewed ; Publisher Version URL: https://www.sciencedirect.com/science/article/pii/S1568494617306853?via%3Dihub http://hdl.handle.net/2381/42094 https://doi.org/10.1016/j.asoc.2017.11.022 BASE Hide details 27 A consensus approach to sentiment analysis Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - 2017 BASE Show details 28 An interaction consensus in group decision making under distributed trust information Lifang Dai; Wu, Jian; Chiclana, Francisco. - : IOS Press, 2017 BASE Show details 29 Successes and challenges in developing a hybrid approach to sentiment analysis Fujita, Hamido; Chiclana, Francisco; Appel, Orestes. - : Springer International Publishing, 2017 BASE Show details 30 A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust Chiclana, Francisco; Fujita, Hamido; Herrera-Viedma, Enrique. - : Elsevier, 2017 BASE Show details 31 A consensus approach to the sentiment analysis problem driven by support-based IOWA majority Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - : John Wiley & Sons, Inc., 2017 BASE Show details 32 Type-1 OWA Unbalanced Fuzzy Linguistic Aggregation Methodology. Application to Eurobonds Credit Risk Evaluation Chiclana, Francisco; Mata, F.; Herrera-Viedma, Enrique. - : Wiley, 2017 BASE Show details 33 Preference Similarity Network Structural Equivalence Clustering based Consensus Model Chiclana, Francisco; Levesley, Jeremy; Hanimah Kamis, Nor. - : Elsevier, 2017 BASE Show details 34 Linguistic multi-criteria decision-making model with output variable expressive richness Herrera-Viedma, Enrique; Chiclana, Francisco; Cid-Lopez, Andres. - : Elsevier, 2017 BASE Show details 35 Successes and challenges in developing a hybrid approach to sentiment analysis Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - 2017 BASE Show details 36 A Consensus Approach to the Sentiment Analysis Problem Driven by Support-Based IOWA Majority Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - : Wiley, 2017 BASE Show details 37 A Hybrid Approach to Sentiment Analysis Appel, Orestes; Fujita, Hamido; Chiclana, Francisco. - : IEEE, 2016 BASE Show details 38 A Hybrid Approach to Sentiment Analysis with Benchmarking Results Appel, Orestes; Fujita, Hamido; Chiclana, Francisco. - : Springer Lectures Notes Computer Science, 2016 BASE Show details 39 A new consensus measure based on Pearson correlation coefficient Chiclana, Francisco; Gonzalez-Arteaga, Teresa; de Andres Calle, Rocio. - : Proceedings of conference, 2016 BASE Show details 40 A Hybrid Approach to the Sentiment Analysis Problem at the Sentence Level Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - : Elsevier, 2016 BASE Show details Page: 1 2 3 4

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