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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 Hits 1 – 19 of 19 1 Consensus based on multiplicative consistent double hierarchy linguistic preferences: venture capital in real estate market Gou, Xunjie; Liao, Huchang; Wang, Xinxin. - : Vilnius Gediminas Technical University Press, 2020 BASE Show details 2 Hesitant Fuzzy Linguistic Analytic Hierarchical Process With Prioritization, Consistency Checking, and Inconsistency Repairing Mi, Xiaomei; Wu, Xingli; Tang, Ming. - : IEEE, 2019 BASE Show details 3 Underground Mining Method Selection With the Hesitant Fuzzy Linguistic Gained and Lost Dominance Score Method Fu, Ziguo; Wu, Xingli; Liao, Huchang. - : IEEE Access, 2018 BASE Show details 4 Personalized individual semantics in computing with words for supporting linguistic group decision making Li, Cong-Cong. - : Universidad de Granada, 2018 BASE Show details 5 Why Linguistic Fuzzy Rule Based Classification Systems perform well in Big Data Applications? Fernández Hilario, Alberto; Altalhi, Abdulrahman; Alshomrani, Saleh. - : Atlantis Press, 2017 BASE Show details 6 Personalized individual semantics in Computing with Words for supporting linguistic Group Decision Making. An Application on Consensus reaching Li, Cong-Cong; Dong, Yucheng; Herrera Triguero, Francisco. - : Elsevier, 2016 BASE Show details 7 A Compact Evolutionary Interval-Valued Fuzzy Rule-Based Classification System for the Modeling and Prediction of Real-World Financial Applications with Imbalanced Data Sanz, José Antonio; Herrera Triguero, Francisco; Bustince, Humberto. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2015 BASE Show details 8 A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules Río García, Sara del; López, Victoria; Benítez Sánchez, José Manuel. - : ATLANTIS PRESS, 2015 BASE Show details 9 Enhancing multi-class classification in FARC-HD fuzzy classifier: On the synergy between n-dimensional overlap functions and decomposition strategies Elkano, Mikel; Bustince, Humberto; Herrera Triguero, Francisco. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2015 BASE Show details 10 IVTURS: a linguistic fuzzy rule-based classification system based on a new Interval-Valued fuzzy reasoning method with TUning and Rule Selection Sanz, José Antonio; Fernández, Alberto; Bustince, Humberto; Herrera Triguero, Francisco. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2013 Abstract: Interval-valued fuzzy sets have been shown to be a useful tool for dealing with the ignorance related to the definition of the linguistic labels. Specifically, they have been successfully applied to solve classification problems, performing simple modifications on the fuzzy reasoning method to work with this representation and making the classification based on a single number. In this paper we present IVTURS, a new linguistic fuzzy rulebased classification method based on a new completely intervalvalued fuzzy reasoning method. This inference process uses interval-valued restricted equivalence functions to increase the relevance of the rules in which the equivalence of the interval membership degrees of the patterns and the ideal membership degrees is greater, which is a desirable behaviour. Furthermore, their parametrized construction allows the computation of the optimal function for each variable to be performed, which could involve a potential improvement in the system’s behaviour. Additionally, we combine this tuning of the equivalence with rule selection in order to decrease the complexity of the system. In this paper we name our method IVTURS-FARC, since we use the FARC-HD method [1] to accomplish the fuzzy rule learning process. The experimental study is developed in three steps in order to ascertain the quality of our new proposal. First, we determine both the essential role that interval-valued fuzzy sets play in the method and the need for the rule selection process. Next, we show the improvements achieved by IVTURS-FARC with respect to the tuning of the degree of ignorance when it is applied in both an isolated way and when combined with the tuning of the equivalence. Finally, the significance of IVTURS-FARC is further depicted by means of a comparison by which it is proved to outperform the results of FARC-HD and FURIA [2], which are two high performing fuzzy classification algorithms. ; Spanish Government TIN2011-28488 TIN2010-15055 ; Andalusian Research P10-TIC-6858 P11-TIC-7765 Keyword: Fuzzy Reasoning Method; Interval-valued fuzzy set; Interval-Valued Restricted Equivalence Functions; Linguistic Fuzzy Rule-Based Classification Systems; Rule Selection; Tuning URL: http://hdl.handle.net/10481/64936 https://doi.org/10.1109/TFUZZ.2013.2243153 BASE Hide details 11 IIVFDT: Ignorance Functions based Interval-Valued Fuzzy Decision Tree with Genetic Tuning Sanz, José Antonio; Bustince, Humberto; Fernández Hilario, Alberto. - : World Scientific Publishing, 2012 BASE Show details 12 A Genetic Tuning to Improve the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of Ignorance and Lateral Position Sanz, José Antonio; Fernández Hilario, Alberto; Bustince, Humberto. - : Elsevier, 2011 BASE Show details 13 Computing with Words in Decision support Systems: An overview on Models and Applications Martínez, Luis; Da, Ruan; Herrera Triguero, Francisco. - : Atlantis Press, 2010 BASE Show details 14 Improving the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets and Genetic Amplitude Tuning Sanz, José Antonio; Fernández, Alberto; Bustince, Humberto. - : ELSEVIER, 2010 BASE Show details 15 Group decision-making with incomplete fuzzy linguistic preference relations Alonso Burgos, Sergio; Cabrerizo, F.J.; Chiclana Parrilla, Francisco. - 2009 BASE Show details 16 Local Identification of Prototypes for Genetic Learning of Accurate TSK Fuzzy Rule-Based Systems Alcalá Fernández, Rafael; Alcalá Fernández, Jesús; Casillas Barranquero, Jorge. - : WILEY, 2007 BASE Show details 17 Cooperación entre sistemas de inferencia, métodos de defuzzificación y aprendizaje de sistemas difusos lingüísticos Márquez Hernández, Francisco Alfredo. - : Universidad de Huelva, 2007 BASE Show details 18 Incorporating filtering techniques in a fuzzy linguistic multi-agent model for information gathering on the web Herrera Triguero, Francisco; Herrera Viedma, Enrique; Martínez, L.. - : Elsevier, 2004 BASE Show details 19 A Three-Stage Evolutionary Process for Learning Descriptive and Approximate Fuzzy-Logic-Controller Knowledge Bases From Examples Cordón García, Óscar; Herrera Triguero, Francisco. - : ELSEVIER, 1997 BASE Show details

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