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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 1 – 20 of 61 1 Some Trends in Fuzzy Decision Making Trillo, José Ramón; Cabrerizo, Francisco Javier; Chiclana, Francisco. - 2022 BASE Show details 2 Consistency-driven methodology to manage incomplete linguistic preference relation: A perspective based on personalized individual semantics Chiclana, Francisco; Herrera-Viedma, Enrique; Dong, Yucheng. - : IEEEXplore, 2021 BASE Show details 3 Consensus in Sentiment Analysis Carter, Jenny; Chiclana, Francisco; Fujita, Hamido. - : Springer International Publishing, 2021 BASE Show details 4 Sentiment Analysis using TF-IDF Weighting of UK MPs’ Tweets on Brexit Mee, Alexander; Homapour, Elmina; Chiclana, Francisco. - : Elsevier, 2021 BASE Show details 5 Proportional hesitant 2-tuple linguistic distance measurements and extended VIKOR method: Case study of evaluation and selection of green airport plans Xionga, Sheng-Hua; Chen, Zhen-Song; Chiclana, Francisco. - : Wiley, 2021 BASE Show details 6 A Fuzzy Approach to Sentiment Analysis at the Sentence Level Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - : Springer International Publishing, 2021 BASE Show details 7 Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events Peña, Alejandro; Patiño, Alejandro; Chiclana, Francisco. - : Elsevier, 2021 BASE Show details 8 Type-1 OWA Operators in Aggregating Multiple Sources of Uncertain Information: Properties and Real-World Applications in Integrated Diagnosis. Zhou, Shangming; Chiclana, Francisco; John, Robert. - : IEEE, 2021 BASE Show details 9 Genetic Algorithm-Based Fuzzy Inference System for Describing Execution Tracing Quality Galli, Tamas; Chiclana, Francisco; Siewe, Francois. - : MDPI, 2021 BASE Show details 10 Consistency improvement with a feedback recommendation in personalized linguistic group decision making Liang, Haiming; Chiclana, Francisco; Herrera-Viedma, Enrique. - : IEEEXplore, 2021 BASE Show details 11 Attitude Quantifier Based Possibility Distribution Generation Method for Hesitant Fuzzy Linguistic Group Decision Making Hao, Jingjing; Chiclana, Francisco. - : Elsevier, 2020 BASE Show details 12 Multi-stage consistency optimization algorithm to decision-making with incomplete probabilistic linguistic preference relation Wang, Peng; Liu, Peide; Chiclana, Francisco. - : Elsevier, 2020 BASE Show details 13 Revisiting Fuzzy and Linguistic Decision-Making: Scenarios and Challenges for Wiser Decisions in a Better Way Herrera-Viedma, Enrique; Palomares, Ivan; Li, Cong-Cong. - : IEEE, 2020 BASE Show details 14 ArAutoSenti: Automatic annotation and new tendencies for sentiment classification of Arabic messages Azouaou, Faical; Guellil, Imane; Chiclana, Francisco. - : Springer, 2020 BASE Show details 15 Personalized individual semantics-based approach for large scale failure mode and effect analysis with incomplete preference information Dong, Yucheng; Zhang, Hengjie; Chiclana, Francisco. - : Taylor & Francis Group, 2020 BASE Show details 16 Consensus and opinion evolution-based failure mode and effect analysis approach for reliability management in social network and uncertainty contexts Zhang, Hengjie; Dong, Yucheng; Xiao, Jing. - : Elsevier, 2020 BASE Show details 17 Type-1 OWA operators in aggregating multiple sources of uncertain information : properties and real world applications Zhou, Shang-Ming; Chiclana, Francisco; John, Robert I.; Garibaldi, Jonathan M.; Huo, Lin. - 2020 Abstract: The type-1 ordered weighted averaging (T1OWA) operator has demonstrated the capacity for directly aggregating multiple sources of linguistic information modelled by fuzzy sets rather than crisp values. Yager's OWA operators possess the properties of idempotence, monotonicity, compensativeness, and commutativity. This paper aims to address whether or not T1OWA operators possess these properties when the inputs and associated weights are fuzzy sets instead of crisp numbers. To this end, a partially ordered relation of fuzzy sets is defined based on the fuzzy maximum (join) and fuzzy minimum (meet) operators of fuzzy sets, and an alpha-equivalently-ordered relation of groups of fuzzy sets is proposed. Moreover, as the extension of orness and andness of an Yager's OWA operator, joinness and meetness of a T1OWA operator are formalised, respectively. Then, based on these concepts and the Representation Theorem of T1OWA operators, we prove that T1OWA operators hold the same properties as Yager's OWA operators possess, i.e.: idempotence, monotonicity, compensativeness, and commutativity. Various numerical examples and a case study of diabetes diagnosis are provided to validate the theoretical analyses of these properties in aggregating multiple sources of uncertain information and improving integrated diagnosis, respectively. Keyword: Electronic computers. Computer science URL: https://strathprints.strath.ac.uk/73842/1/Zhou_etal_IEEE_TFS_2020_Type_1_OWA_operators_in_aggregating_multiple_sources.pdf https://doi.org/10.1109/TFUZZ.2020.2992909 https://strathprints.strath.ac.uk/73842/ BASE Hide details 18 Dealing with incomplete information in linguistic group decision making by means of Interval Type‐2 Fuzzy Sets Ureña, Raquel; Kou, Gang; Wu, Jian... In: ISSN: 0884-8173 ; EISSN: 1098-111X ; International Journal of Intelligent Systems ; https://www.hal.inserm.fr/inserm-03026626 ; International Journal of Intelligent Systems, Wiley, 2019, 34 (6), pp.1261-1280. ⟨10.1002/int.22095⟩ (2019) BASE Show details 19 Stochastic logistic fuzzy maps for the construction of integrated multirates scenarios in the financing of infrastructure projects Gonzalez-Ruiz, Juan David; Peña, Alejandro; Duque, Eduardo Alexander. - : Elsevier, 2019 BASE Show details 20 A T1OWA Fuzzy Linguistic Aggregation Methodology for Searching Feature-based Opinions. Romero, Francisco P.; Homapour, E.; Chiclana, Francisco. - : Elsevier, 2019 BASE Show details Page: 1 2 3 4

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