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1
Consensus in Sentiment Analysis
Carter, Jenny; Chiclana, Francisco; Fujita, Hamido. - : Springer International Publishing, 2021
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2
A Fuzzy Approach to Sentiment Analysis at the Sentence Level
Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - : Springer International Publishing, 2021
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3
Best Practices of Convolutional Neural Networks for Question Classification
Pota, Marco; Fujita, Hamido. - : MDPI, 2020
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4
Hesitant Fuzzy Linguistic Preference Utility Set and Its Application in Selection of Fire Rescue Plans
Abstract: Hesitant fuzzy linguistic term set provides an effective tool to represent uncertain decision information. However, the semantics corresponding to the linguistic terms in it cannot accurately reflect the decision-makers’ subjective cognition. In general, different decision-makers’ sensitivities towards the semantics are different. Such sensitivities can be represented by the cumulative prospect theory value function. Inspired by this, we propose a linguistic scale function to transform the semantics corresponding to linguistic terms into the linguistic preference values. Furthermore, we propose the hesitant fuzzy linguistic preference utility set, based on which, the decision-makers can flexibly express their distinct semantics and obtain the decision results that are consistent with their cognition. For calculations and comparisons over the hesitant fuzzy linguistic preference utility sets, we introduce some distance measures and comparison laws. Afterwards, to apply the hesitant fuzzy linguistic preference utility sets in emergency management, we develop a method to obtain objective weights of attributes and then propose a hesitant fuzzy linguistic preference utility-TOPSIS method to select the best fire rescue plan. Finally, the validity of the proposed method is verified by some comparisons of the method with other two representative methods including the hesitant fuzzy linguistic-TOPSIS method and the hesitant fuzzy linguistic-VIKOR method.
Keyword: Article
URL: http://www.ncbi.nlm.nih.gov/pubmed/29614019
https://doi.org/10.3390/ijerph15040664
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5923706/
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5
A consensus approach to sentiment analysis
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6
An interaction consensus in group decision making under distributed trust information
Lifang Dai; Wu, Jian; Chiclana, Francisco. - : IOS Press, 2017
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7
Successes and challenges in developing a hybrid approach to sentiment analysis
Fujita, Hamido; Chiclana, Francisco; Appel, Orestes. - : Springer International Publishing, 2017
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8
A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust
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9
A consensus approach to the sentiment analysis problem driven by support-based IOWA majority
Appel, Orestes; Chiclana, Francisco; Carter, Jenny. - : John Wiley & Sons, Inc., 2017
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10
Successes and challenges in developing a hybrid approach to sentiment analysis
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11
A Consensus Approach to the Sentiment Analysis Problem Driven by Support-Based IOWA Majority
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12
A Hybrid Approach to Sentiment Analysis
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13
A Hybrid Approach to Sentiment Analysis with Benchmarking Results
Appel, Orestes; Fujita, Hamido; Chiclana, Francisco. - : Springer Lectures Notes Computer Science, 2016
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14
A Hybrid Approach to the Sentiment Analysis Problem at the Sentence Level
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