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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 BASE Show 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; Hornos, Miguel J.; Carrasco, Ramon Alberto. - : Elsevier, 2017 Abstract: The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. ; In general, traditional decision-making models are based on methods that perform calculations on quantitative measures. These methods are usually applied to assess possible solutions to a problem, resulting in a ranking of alternatives. However, when it comes to making decisions about qualitative measures –such as service quality–, the quantitative assessment is a bit difficult to interpret. Therefore, taking into account the maturity of the linguistic assessment models, this paper puts forth a new solution proposal. It is a decision-making model that uses linguistic labels –represented with the 2-tuple notation– and a variable expressive richness when providing output results. This solution allows expressing results in a manner closer to the human cognitive system. To achieve this goal, a mechanism has been implemented for measuring the distance among the aggregate ratings, providing the decision-maker with a fast and intuitive answer. The proposal is illustrated with an application example based on the TOPSIS model, using linguistic labels throughout the entire process. Keyword: 2-tuple representation; linguistic labels; linguistic TOPSIS model; multi-criteria decision making; variable expressive richness URL: http://hdl.handle.net/2086/14153 https://doi.org/10.1016/j.eswa.2017.04.049 BASE Hide 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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