His primary areas of investigation include Artificial intelligence, Rule-based machine translation, Microbiology, Linguistics and Fuzzy set. Luis Martínez has included themes like Machine learning, Decision model and Tuple in his Artificial intelligence study. His work carried out in the field of Rule-based machine translation brings together such families of science as Deep linguistic processing, Decision problem and Set.
His work in Microbiology addresses subjects such as Biofilm, which are connected to disciplines such as Cryptococcosis, Polysaccharide, Chitosan, Viability assay and Humoral immunity. His Linguistics research is multidisciplinary, incorporating perspectives in Decision theory and Cognition. The study incorporates disciplines such as Context and Preference in addition to Fuzzy set.
Luis Martínez mostly deals with Artificial intelligence, Process, Fuzzy logic, Rule-based machine translation and Microbiology. His research investigates the connection between Artificial intelligence and topics such as Natural language processing that intersect with issues in Fuzzy linguistic. His work in Process addresses issues such as Management science, which are connected to fields such as Decision analysis and Business decision mapping.
The various areas that Luis Martínez examines in his Fuzzy logic study include Multiple-criteria decision analysis and Data mining. Luis Martínez combines subjects such as Deep linguistic processing, Tuple and Scale with his study of Rule-based machine translation. His Microbiology research incorporates themes from Immune system and Biofilm.
The scientist’s investigation covers issues in Fuzzy logic, Linguistics, Mathematical optimization, Process and Ranking. His Fuzzy logic study combines topics from a wide range of disciplines, such as Multiple-criteria decision analysis, Operations research, Computational intelligence and Data mining. Luis Martínez interconnects Translation, Representation and Jaccard index in the investigation of issues within Linguistics.
In his work, Service quality and Quality function deployment is strongly intertwined with Identification, which is a subfield of Process. His work in Ranking tackles topics such as Decision problem which are related to areas like Risk analysis, Pareto principle, Axiom and Order. His Rule-based machine translation research is within the category of Artificial intelligence.
Luis Martínez spends much of his time researching Fuzzy logic, Mathematical optimization, Fuzzy set, Process and Multiple-criteria decision analysis. Many of his studies on Fuzzy set involve topics that are commonly interrelated, such as Data mining. His Process study integrates concerns from other disciplines, such as Systems design, Linguistics, Selection and Identification.
His work on Selection as part of general Linguistics study is frequently linked to Term, bridging the gap between disciplines. His study looks at the intersection of Representation and topics like Semantics with Rule-based machine translation. His research ties Big data and Artificial intelligence together.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A 2-tuple fuzzy linguistic representation model for computing with words
F. Herrera;L. Martinez.
IEEE Transactions on Fuzzy Systems (2000)
Hesitant Fuzzy Linguistic Term Sets for Decision Making
R. M. Rodriguez;L. Martinez;F. Herrera.
IEEE Transactions on Fuzzy Systems (2012)
Hesitant Fuzzy Sets: State of the Art and Future Directions
R. M. Rodríguez;L. Martínez;V. Torra;Z. S. Xu.
Journal of intelligent systems (2014)
A model based on linguistic 2-tuples for dealing with multigranular hierarchical linguistic contexts in multi-expert decision-making
F. Herrera;L. Martinez.
systems man and cybernetics (2001)
A fusion approach for managing multi-granularity linguistic term sets in decision making
F. Herrera;E. Herrera-Viedma;Luis Martínez.
Fuzzy Sets and Systems (2000)
Managing non-homogeneous information in group decision making
F. Herrera;L. Martı́nez;P.J. Sánchez.
European Journal of Operational Research (2005)
A Consensus Support System Model for Group Decision-Making Problems With Multigranular Linguistic Preference Relations
E. Herrera-Viedma;L. Martinez;F. Mata;F. Chiclana.
IEEE Transactions on Fuzzy Systems (2005)
A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets
F. Herrera;E. Herrera-Viedma;L. Martinez.
IEEE Transactions on Fuzzy Systems (2008)
An approach for combining linguistic and numerical information based on the 2-tuple fuzzy linguistic representation model in decision-making
F. Herrera;L. Martinez.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (2000)
An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges
L. MartıNez;F. Herrera.
Information Sciences (2012)
Profile was last updated on December 6th, 2021.
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