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2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015
Decision making has become a core research area in different fields such as evaluation, engineering, medicine, etc. Usually, decision making problems are defined in contexts with vague and imprecise information. The use of linguistic modeling has provided successful results in decision making problems.
Rosa M. Rodriguez +2 more
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Decision making has become a core research area in different fields such as evaluation, engineering, medicine, etc. Usually, decision making problems are defined in contexts with vague and imprecise information. The use of linguistic modeling has provided successful results in decision making problems.
Rosa M. Rodriguez +2 more
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Model for evaluating the visual design quality with 2-tuple linguistic information
Journal of Intelligent & Fuzzy Systems, 2017In this paper, we investigate the multiple attribute decision making problems for evaluating the visual design quality with 2-tuple linguistic information. Motivated by the ideal of generalized weighted Bonferroni mean and generalized weighted geometric Bonferroni mean, we develop the 2-tuple linguistic generalized Bonferroni mean (2TLGBM) operator for
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A first attempt towards a fuzzy c-means for the linguistic 2-tuple model
2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015This paper deals with clustering analysis in a fuzzy linguistic environment. Clustering and fuzzy clustering are now commonly used for numerical and/or symbolic data. But what about linguistic data? Since decades, there are several computational models that deal with linguistic or semantic terms to describe imprecise systems and perform computing with ...
Durand, Marie, Truck, Isis
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A new version of 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems, 2006In this paper, we provide a new (proportional) 2-tuple fuzzy linguistic representation model for computing with words (CW), which is based on the concept of "symbolic proportion." This concept motivates us to represent the linguistic information by means of 2-tuples, which are composed by two proportional linguistic terms.
null Jin-Hsien Wang, null Jongyun Hao
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Multi-attribute Group Decision Making based on Proportional 2-Tuple Linguistic Model
2013The proportional 2-tuple linguistic model provides a tool to deal with linguistic term sets that are not uniformly and symmetrically distributed. This study further develops multi-attribute group decision making methods with linguistic assessments and linguistic weights, based on the proportional 2-tuple linguistic model.
Congcong Li, Yucheng Dong
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Imputing Missing Values in Nuclear Safeguards Evaluation by a 2-Tuple Computational Model
2010Nuclear safeguards evaluation aims to verify that countries are not misusing nuclear programs for nuclear weapons purposes. Experts of the International Atomic Energy Agency (IAEA) evaluate many indicators by using diverse sources, which are vague and imprecise.
Rosa M. Rodríguez +4 more
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A Linguistic 2-Tuple Multi-criteria Decision-Making Model for Military Training Assessment
2019Military training assessment plays a critical role in training performance enhancement. During the assessment process, a direct and clear way of expression is preferred to use between trainers and trainees for information exchange such as situation awareness or order giving.
Haiming Li +3 more
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A Model based on 2-tuple Linguistic Model and CRITIC Method for Hotel Classification
Proceedings of the 11th International Conference on Data Science, Technology and Applications, 2022Ziwei Shu +3 more
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Novel intuitionistic 2-tuple linguistic representation model
Data Science and Knowledge Engineering for Sensing Decision Support, 2018Yi Liu, Jun Liu, Ya Qin
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Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies
Ca-A Cancer Journal for Clinicians, 2022Paolo Tarantino +2 more
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