Mechanism (biology)

Control (management)

Process (computing)

Engineering

Philosophy

Social psychology

Control engineering

Operating system

Degree (music)

Computer science

Acoustics

Physics

Operations research

Organic chemistry

Psychology

Mathematics

Decision maker

Group decision-making

Epistemology

Artificial intelligence

Pessimism

Chemistry

Group (periodic table)

Feedback control

Knowledge-Based Systems

This article aims to study the influence of the group attitude on the consensus reaching process in group decision making (GDM). To do that, the attitudinal consensus index (ACI) is defined to aggregate individual consensus levels to form a collective one. This approach allows for the implementation of the group attitude in a continuous state ranging from a pessimistic attitude to an optimistic attitude. Then, ACI is used to build a stop policy to control feedback for consensus, which can be regarded as a generation of the traditional polices: ‘minimum disagreement policy’ and ‘indifferent disagreement policy’. A sensitivity analysis method with visual simulation is proposed to check the adjustment cost and consensus level with different attitudinal parameters. The main conclusion from this analysis is that the bigger the attitudinal parameter implemented is, the bigger the adjustment cost and consensus level are. The visual information facilitates the inconsistent expert keeping a balance between the attitudinal parameter to implement and the adjustment cost and consensus level, which in practice translates into full control of such implementation based on the decision maker’s willingness.

An attitudinal consensus degree to control the feedback mechanism in group decision making with different adjustment cost