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1
Some Trends in Fuzzy Decision Making
BASE
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2
Consistency-driven methodology to manage incomplete linguistic preference relation: A perspective based on personalized individual semantics
BASE
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3
Consensus in Sentiment Analysis
Carter, Jenny; Chiclana, Francisco; Fujita, Hamido. - : Springer International Publishing, 2021
BASE
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4
Sentiment Analysis using TF-IDF Weighting of UK MPs’ Tweets on Brexit
BASE
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5
Proportional hesitant 2-tuple linguistic distance measurements and extended VIKOR method: Case study of evaluation and selection of green airport plans
BASE
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6
A Fuzzy Approach to Sentiment Analysis at the Sentence Level
Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - : Springer International Publishing, 2021
BASE
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7
Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events
BASE
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8
Type-1 OWA Operators in Aggregating Multiple Sources of Uncertain Information: Properties and Real-World Applications in Integrated Diagnosis.
BASE
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9
Genetic Algorithm-Based Fuzzy Inference System for Describing Execution Tracing Quality
BASE
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10
Consistency improvement with a feedback recommendation in personalized linguistic group decision making
BASE
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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
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12
Attitude Quantifier Based Possibility Distribution Generation Method for Hesitant Fuzzy Linguistic Group Decision Making
Hao, Jingjing; Chiclana, Francisco. - : Elsevier, 2020
BASE
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13
Multi-stage consistency optimization algorithm to decision-making with incomplete probabilistic linguistic preference relation
Wang, Peng; Liu, Peide; Chiclana, Francisco. - : Elsevier, 2020
BASE
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14
Revisiting Fuzzy and Linguistic Decision-Making: Scenarios and Challenges for Wiser Decisions in a Better Way
BASE
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15
ArAutoSenti: Automatic annotation and new tendencies for sentiment classification of Arabic messages
BASE
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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
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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
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18
Type-1 OWA operators in aggregating multiple sources of uncertain information : properties and real world applications
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19
Dealing with incomplete information in linguistic group decision making by means of Interval Type‐2 Fuzzy Sets
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)
Abstract: International audience ; Nowadays, in the social network–based decision‐making processes, like the ones involved in e‐commerce and e‐democracy, multiple users with different backgrounds may take part and diverse alternatives might be involved. This diversity enriches the process, but at the same time, increases the uncertainty of opinions. This uncertainty can be considered from two different perspectives: (i) the uncertainty in the meaning of the words given as preferences, that is, motivated by the heterogeneity of the decision makers; and (ii) the uncertainty inherent to any decision‐making process that may lead to an expert not being able to provide all their judgments. The main objective of this study is to address these two types of uncertainty. To do so, the following approaches are proposed: First, to capture, process, and keep the uncertainty in the meaning of the linguistic assumption, the Interval Type‐2 Fuzzy Sets are introduced as a way to model the experts' linguistic judgments. Second, a measure of the coherence of the information provided by each decision maker is proposed. Finally, a consistency‐based completion approach is introduced to deal with the uncertainty presented in the expert judgments. The proposed approach is tested in an e‐democracy decision‐making scenario.
Keyword: [SDV]Life Sciences [q-bio]
URL: https://doi.org/10.1002/int.22095
https://www.hal.inserm.fr/inserm-03026626
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20
Stochastic logistic fuzzy maps for the construction of integrated multirates scenarios in the financing of infrastructure projects
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