A two-phase algorithm for consensus building in AHP-group decision making

By B. Srdjevic, Z. Srdjevic, B. Blagojević, K. Suvočarev. 2013

59 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/1d01da19ff43e39e7397a87be0519305cfaac1ab

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Hengjie Zhang
2. Yucheng Dong
3. Enrique Herrera-Viedma
4. Ali Emrouznejad
5. Marianna Marra
6. Francisco Chiclana
7. Francisco Herrera
8. Luis Martínez-López

In Control and Systems Engineering

1. Enrique Herrera-Viedma
2. Ali Emrouznejad
3. Yucheng Dong
4. Marianna Marra
5. Zeshui Xu

In Management Science and Operations Research

1. Hengjie Zhang
2. Yucheng Dong
3. Enrique Herrera-Viedma
4. Ali Emrouznejad
5. Marianna Marra
6. Francisco Chiclana
7. Francisco Herrera
8. Zeshui Xu

Citations in the corpus

• Integrating experts' weights generated dynamically into the consensus reaching process and its applications in managing non-cooperative behaviors (2016, methodology): “Many feedback adjustment methods have been proposed [18,28,49].”
• The state of the art development of AHP (1979–2017): a literature review with a social network analysis (2017, methodology): “…methods to deal with nonreciprocal PCMs (Grzybowski, 2013); (iii) problems related to group decisions (Dong and Cooper, 2016; Grošelj et al., 2015; Srdjevic et al., 2013); problems of consistency indices (Li et al., 2016) and inconsistency indices in PCM (Brunelli and Fedrizzi, 2015, 2014; Siraj…”