A Preliminary Analysis of the Influence of the Inconsistency Degree on the Quality of Collective Knowledge

Author information: Dr. Ngoc-Thanh Nguyen, Head of Division of Knowledge and System Engineering for ICT of Ton Duc Thang University (KSE-ICT).

Tittle: A Preliminary Analysis of the Influence of the Inconsistency Degree on the Quality of Collective Knowledge

Journal information: The paper was published in the ISI journal Cybernetics and Systems: An International Journal (its impact factor is 0.840 and H-index is 28).

Abstract: Collective knowledge is often determined on the basis of the knowledge states of members of a collective about a subject in the real world. The real knowledge state about this subject exists, but it’s not known by the collective members. With the objective case, we assume that the real knowledge state about this subject exists independently of the knowledge states given by the collective members, whose knowledge states reflect the real knowledge state to some degree because of incompleteness and uncertainty. The inconsistency degree is understood as the coherence level of the knowledge states of the collective members. In this study we analyze the influence of the inconsistency degree of a collective on the quality of collective knowledge for the objective case. The quality measure is based on the distance from the collective knowledge to the real knowledge state. For this aim, based on the Euclidean space, the hypothesis “the higher the inconsistency, the better the quality of collective knowledge” will be proved. Also, the upper limit of the difference between the real knowledge state and the collective knowledge is also investigated. The upper limit means the maximal value that the difference between them does not exceed.

 

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