Research Article
Expertise-Based Ranking of Experts in Multicriteria Group Decision Making with Different Preference Representation Formats
SongHo Sim*
,
SinHyok Kim
Issue:
Volume 10, Issue 5, October 2025
Pages:
69-83
Received:
14 September 2025
Accepted:
30 September 2025
Published:
31 October 2025
Abstract: The group decision-making (GDM) is a process of aggregating the preference information of each decision maker in a group into a collective opinion under certain decision criteria. When a decision is made by decision makers (DMs), the group decision or group opinion is a result of the integration of the individual opinions by a mathematical aggregation. An important thing in the integration of the individual opinions is which DMs’ opinions should be of importance in the aggregation process. The group opinion is heavily influenced by the level of expertise of the DMs. In real-life group decision making (GDM) problems, preference relations given by decision makers (DMs) are often heterogeneous because of their expertise and different decision habits. The expertise level of the DMs can be estimated using the ‘the ability to differentiate consistently’, a ratio between discrimination and inconsistency. Each expert has different expertise in different criteria and has his/her limited capacity in constructing of pairwise comparison preference relations. In this paper, we focus on a method to assess expertise-based ranking of experts in GDM with multiple criteria and different preference representation formats. The combination of expertise as ‘the ability to differentiate consistently’ and the consistency of various types of preference relations is discussed, when experts give their judgements for alternatives in various types of preference relations, such as multiplicative preference relations (MPRs), utility values, preference orderings, even incomplete FPRs or MPRs, including FPRs under certain criterion. Then, since the experts have the limited capacity in constructing of pairwise comparison preference relations in GDM with multiple criteria, we propose a expertise-based ranking method using the adjacent pairwise comparison technique in order to reduce the number of judgements. Finally, expertise-based ranking of experts is applied to aggregate the individual opinions into a group opinion by developing into experts’ importance weights in GDM. Numerical analyses show that proposed method is simple than the previous methods and can fill up some gaps in GDM.
Abstract: The group decision-making (GDM) is a process of aggregating the preference information of each decision maker in a group into a collective opinion under certain decision criteria. When a decision is made by decision makers (DMs), the group decision or group opinion is a result of the integration of the individual opinions by a mathematical aggregat...
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Research Article
Compensation Method of Characteristic Nonlinearity on Control System
Issue:
Volume 10, Issue 5, October 2025
Pages:
84-93
Received:
26 August 2025
Accepted:
9 September 2025
Published:
22 November 2025
DOI:
10.11648/j.ajetm.20251005.12
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Abstract: Typical characteristic nonlinearities include insensitivity, saturation, clearance and hysteresis, and various combinations of them, which have a great influence on the system in control systems. For example, Backlash nonlinearity of the reducers and gears has strong effect on the system in some electromechanical tracking systems. Due to the effect of backlash nonlinearity on quality and reliability of the system, many researchers have tried to find out its solutions. In this study, we performed theoretical considerations and simulations to compensate the effects of nonlinearities such as backlash, saturation, hysteresis, etc. present in the control system. This paper shows that, unlike the past linear approximation of the inherent nonlinearities present in control systems, it directly eliminates the inherent nonlinearities and is convenient for physical implementation. First, this paper shows the simple method of compensating nonlinearities by using direct coupling principle. Next, Feedback compensation method is introduced in the systems which involve the saturation nonlinearity element. Finally, through the experiment, the advantages of these methods are confirmed. This is a new approach for nonlinear compensation and more convenient and simpler to implement compared with the previous different control methods. It can also be used to overcome the effect of several nonlinearities in different control systems as well as in the primary static satellite system.
Abstract: Typical characteristic nonlinearities include insensitivity, saturation, clearance and hysteresis, and various combinations of them, which have a great influence on the system in control systems. For example, Backlash nonlinearity of the reducers and gears has strong effect on the system in some electromechanical tracking systems. Due to the effect...
Show More
