An Exploration of Wisdom of Crowds using Neutrosophic Cognitive Maps


  • Jesús Estupiñán Ricardo Universidad Regional Autónoma de los Andes (UNIANDES), Calle Jorge Villegas Final, Babahoyo, CP 120151, Ecuador.
  • Diego Fernando Coka Flores Universidad Regional Autónoma de los Andes (UNIANDES), Troncal de la Sierra, Tulcán, CP 040103, Ecuador.
  • Jorge Alfredo Eras Díaz Universidad Regional Autónoma de los Andes (UNIANDES), Avenida La Lorena, CP 230150, Santo Domingo de los Tsáchilas, Ecuador.
  • Karina Pérez Teruel E-mail: 4Universidad Abierta Para Adultos, Santiago De Los Caballeros 51000, República Dominicana


Wisdom of crowds, fuzzy cognitive map, neutrosophic cognitive map, fuzzy NPN logic


The wisdom of crowds (WOC) is a theory where it is believed that a multitude of people, unknown to each other and not experts in some subject, can reach more accurate conclusions on this subject than each of them would achieve individually; it could even have more accuracy than the result that a group of experts would obtain. This theory can be used to obtain information from the individual knowledge of an inexperienced crowd, including knowledge on complex phenomena. In this paper, the complex phenomenon is represented with the help of Neutrosophic Cognitive Maps (NCM), which allow us to capture the cause-effect relations among the concepts according to each of the individuals’ judgments. In this case, a dynamic processing of the results is carried out. The NCMs are aggregated following the WOC principles using an aggregation algorithm, which is based on the Fuzzy Negative-Positive-Neutral (NPN) logic. The advantage of using NCM is that indeterminacy is included in the modeling, thus individuals can express their opinions more reliably.


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How to Cite

Estupiñán Ricardo, J. ., Coka Flores, D. F. ., Eras Díaz, J. A. ., & Pérez Teruel, K. . (2020). An Exploration of Wisdom of Crowds using Neutrosophic Cognitive Maps. Neutrosophic Sets and Systems, 37, 08-15. Retrieved from