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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. - : 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 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; Chiclana, Francisco; Herrera-Viedma, Enrique. - : Elsevier, 2020 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. ; As a forward-looking reliability-management engineering technique, failure mode and effect analysis (FMEA) has been widely utilized to improve the reliability of products, processes, systems, and services. In practice, multiple responsible parties for FMEA implementation have different backgrounds, knowledge levels, and opinions. Integrating consensus into FMEA has some notable merits: the connections between FMEA participants can be strengthened, and a collective solution with a high degree of acceptability to the FMEA problem can be yielded. Meanwhile, the social network relationship among FMEA participants should be an essential element in FMEA because the participants’ opinions are subject to influence by each other and likely to evolve due to their social network interactions. Thus, this study first proposes a social network consensus model with minimum adjustment distance to assist FMEA participants in attaining a consensus, in which participants utilize a linguistic distribution assessment approach to represent their opinions. Second, an opinion evolution-based social network consensus model with minimum adjustment distance is further presented by considering the phenomenon of opinion evolution. Finally, some theoretical analyses, a case study, and a detailed comparative analysis are presented to verify the validity of the proposed FMEA approach. Keyword: consensus; failure mode and effect analysis; opinion evolution; Reliability management; social network URL: https://dora.dmu.ac.uk/handle/2086/20598 https://doi.org/10.1016/j.ress.2020.107425 BASE Hide 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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