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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 66 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; Caraffini, Fabio; Gongora, Mario Augusto; Gonzalez-Ruiz, Juan David; Eduardo, Duque-Grisales. - : Elsevier, 2021 Abstract: Operational Risk (OR) is usually caused by losses due to human errors, inadequate or defective internal processes, system failures or external events that affect an organization. According to the Basel II agreement, OR is defined by seven risk events: internal fraud, external fraud, labour relations, clients, damage to fixed assets, technological failures and failures in the execution & administration of processes. However, due to the large amount of qualitative information, the uncertainty and the low frequency at which these risk events are generated in an organization, their modeling is still a technological challenge. This paper takes up this challenge and presents a fuzzy convolutional deep-learning model to estimate, based on the Basel III recommendations, the ORLoss Component(OR-LC) in an organization. The proposed model integrates qualitative information as linguistic random variables, as well as risk events data from different sources using multi-dimensional fuzzy credibility concepts. The results show the stability of the proposed model with respect to the OR-LC estimation from both structural and dimensional point of views, making it an ideal tool for modeling OR from the perspective of: (a) the regulators (Basel Committee on Banking Supervision) by allowing the integration of experts’ criteria into the OR-LC; (b) the insurers by allowing the integration of risk events from different sources; and (c) organizations and financial entities by allowing the a priori evaluation of the OR-LC of new financial products based on technological platforms and electronic channels. URL: https://doi.org/10.1016/j.asoc.2021.107381 https://dora.dmu.ac.uk/handle/2086/20728 BASE Hide 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 ArAutoSenti: automatic annotation and new tendencies for sentiment classification of Arabic messages [<Journal>] Guellil, Imane [Verfasser]; Azouaou, Faical [Verfasser]; Chiclana, Francisco [Verfasser] DNB Subject Category Language Show details 12 Attitude Quantifier Based Possibility Distribution Generation Method for Hesitant Fuzzy Linguistic Group Decision Making Hao, Jingjing; Chiclana, Francisco. - : Elsevier, 2020 BASE Show details 13 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 14 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 15 ArAutoSenti: Automatic annotation and new tendencies for sentiment classification of Arabic messages Azouaou, Faical; Guellil, Imane; Chiclana, Francisco. - : Springer, 2020 BASE Show details 16 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 17 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 18 Type-1 OWA operators in aggregating multiple sources of uncertain information : properties and real world applications Zhou, Shang-Ming; Chiclana, Francisco; John, Robert I.. - 2020 BASE Show details 19 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. &#x27E8;10.1002/int.22095&#x27E9; (2019) BASE Show details 20 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 Page: 1 2 3 4

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