Ivan Palomares

Management Science and Operations Research · 2014–2019

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Ivan Palomares trusts overall

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

  1. Robert A. Lordo
  2. Gleb Beliakov
  3. Enrique Herrera-Viedma
  4. Ana Pradera
  5. Luis Martínez
  6. Francisco Chiclana
  7. Zeshui Xu

Who trusts Ivan Palomares overall

  1. Hengjie Zhang
  2. Yucheng Dong
  3. Zhen Zhang
  4. Chonghui Guo
  5. Enrique Herrera-Viedma

Papers from Ivan Palomares's perspective

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

  1. A Consensus Support System Model for Group Decision-Making Problems With Multigranular Linguistic Preference Relations (IEEE transactions on fuzzy systems)
  2. Social Network Analysis: Methods and Applications
  3. A social network analysis trust-consensus based approach to group decision-making problems with interval-valued fuzzy reciprocal preference relations (Knowledge-Based Systems)
  4. A visual interaction consensus model for social network group decision making with trust propagation (Knowledge-Based Systems)
  5. A New Consensus Model for Group Decision Making Problems With Non-Homogeneous Experts (IEEE Transactions on Systems, Man & Cybernetics. Systems)
  6. Trust based consensus model for social network in an incomplete linguistic information context (Applied Soft Computing)
  7. Consensus model for multi-criteria large-group emergency decision making considering non-cooperative behaviors and minority opinions (Decision Support Systems)
  8. Consensus reaching in social network group decision making: Research paradigms and challenges (Knowledge-Based Systems)
  9. Intuitionistic Fuzzy Aggregation Operators (IEEE transactions on fuzzy systems)
  10. A web based consensus support system for group decision making problems and incomplete preferences (Information Sciences)

Their papers