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1
Some Trends in Fuzzy Decision Making
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2
Consistency-driven methodology to manage incomplete linguistic preference relation: A perspective based on personalized individual semantics
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3
Consensus in Sentiment Analysis
Carter, Jenny; Chiclana, Francisco; Fujita, Hamido. - : Springer International Publishing, 2021
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4
Sentiment Analysis using TF-IDF Weighting of UK MPs’ Tweets on Brexit
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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
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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
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7
Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events
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8
Type-1 OWA Operators in Aggregating Multiple Sources of Uncertain Information: Properties and Real-World Applications in Integrated Diagnosis.
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9
Genetic Algorithm-Based Fuzzy Inference System for Describing Execution Tracing Quality
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10
Consistency improvement with a feedback recommendation in personalized linguistic group decision making
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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
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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
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14
Revisiting Fuzzy and Linguistic Decision-Making: Scenarios and Challenges for Wiser Decisions in a Better Way
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. ; This paper provides a brief tour through the main fuzzy and linguistic decision-making trends, studies, methodologies and models developed in the last 50 years. Fuzzy and linguistic decision-making approaches allow to address complex real-world decision problems where humans exhibit vagueness, imprecision and/or use natural language to assess decision alternatives, criteria, etc. The aim of this paper is threefold. Firstly, the main fuzzy set theory and computing with words based representation paradigms of decision information, with their different levels of expressive richness and complexity, are reviewed. Secondly, three core decision-making frameworks are examined: (1) multi-criteria decision-making, (2) group consensus-driven decision-making, and (3) multi-person multi-criteria decision making. Thirdly, the paper discusses new complex decision making frameworks that have emerged in recent years, where decisions are guided by the “wisdom of the crowd”: their associated challenges are highlighted and considerations on much needed key guidelines for future research in the field are provided.
URL: https://dora.dmu.ac.uk/handle/2086/20596
https://doi.org/10.1109/TSMC.2020.3043016
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15
ArAutoSenti: Automatic annotation and new tendencies for sentiment classification of Arabic messages
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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
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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
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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)
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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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