Anjali Awasthi

Management Science and Operations Research · 2010–2016

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Anjali Awasthi trusts overall

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

  1. Deng Yong
  2. Chitrasen Samantra
  3. Chen-Tung Chen
  4. Chunguang Bai
  5. C. Kahraman
  6. Gholam Reza Jahanshahloo
  7. Semih Önüt
  8. William Ho
  9. Jia-Wen Wang
  10. Robert B. Handfield

Who trusts Anjali Awasthi overall

  1. Devika Kannan
  2. Pornwasin Sirisawat
  3. Amir Hossein Azadnia
  4. Martin Aruldoss
  5. Andrea Genovese
  6. Tossapol Kiatcharoenpol
  7. Ana Beatriz Lopes de Sousa Jabbour
  8. M. Saman
  9. T. Miranda Lakshmi
  10. S. L. Lenny Koh

Papers from Anjali Awasthi's perspective

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

  1. Detecting change in vague interpretations of landscapes
  2. A fuzzy approach for supplier evaluation and selection in supply chain management
  3. Applying environmental criteria to supplier assessment: A study in the application of the Analytical Hierarchy Process (European Journal of Operational Research)
  4. An evaluation of vendor selection models from a total cost of ownership perspective (European Journal of Operational Research)
  5. Facility Location Selection Using Fuzzy TOPSIS Under Group Decisions (Int. J. Uncertain. Fuzziness Knowl. Based Syst.)
  6. A fuzzy simple additive weighting system under group decision-making for facility location selection with objective/subjective attributes (European Journal of Operational Research)
  7. Integrating sustainability into supplier selection with grey system and rough set methodologies
  8. Fuzzy group decision-making for facility location selection (Information Sciences)
  9. Plant location selection based on fuzzy TOPSIS
  10. A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method (Expert systems with applications)

Their papers