Francisco Mata

Management Science and Operations Research · 2005–2009

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Francisco Mata trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Enrique Herrera-Viedma
  2. Francisco Herrera
  3. Badredine Arfi
  4. Luis Martínez-López
  5. Jin-Hsien Wang
  6. Francisco Chiclana
  7. Jongyun Hao
  8. Zeshui Xu

Who trusts Francisco Mata overall

  1. Enrique Herrera-Viedma
  2. F. Cabrerizo
  3. Francisco Chiclana
  4. Yucheng Dong
  5. Hengjie Zhang
  6. Ignacio Javier Pérez
  7. Luis Martínez-López
  8. Juan Miguel Tapia García
  9. Francisco Herrera
  10. Sergio Alonso

Papers from Francisco Mata's perspective

Ordered by how strongly the researchers Francisco Mata trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets (IEEE transactions on fuzzy systems)
  2. Fuzzy Decision Making in Politics: A Linguistic Fuzzy-Set Approach (LFSA) (Political Analysis)
  3. A consensus model for multiperson decision making with different preference structures (IEEE Trans. Syst. Man Cybern. Part A)
  4. A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations (IEEE transactions on fuzzy systems)
  5. A fusion approach for managing multi-granularity linguistic term sets in decision making
  6. A Consensus Support System Model for Group Decision-Making Problems With Multigranular Linguistic Preference Relations (IEEE transactions on fuzzy systems)
  7. A 2-tuple fuzzy linguistic representation model for computing with words (IEEE transactions on fuzzy systems)
  8. A new version of 2-tuple fuzzy linguistic representation model for computing with words (IEEE transactions on fuzzy systems)
  9. Detecting change in vague interpretations of landscapes
  10. Eowa And Eowg Operators For Aggregating Linguistic Labels Based On Linguistic Preference Relations (Int. J. Uncertain. Fuzziness Knowl. Based Syst.)

Their papers