By Yucheng Dong, Jiuping Xu
This e-book is meant for researchers and postgraduates who're drawn to the consensus attaining strategy in crew decision-making difficulties. It places ahead new optimization-based selection aid techniques to assist decision-makers locate roadmaps to consensus with minimal alterations. Simulation experiments and comparability research are as a result performed to evaluate the validity of the concept. After examining this booklet, readers will own a couple of useful instruments for construction consensus with minimal alterations within the context of crew decision-making. extra, the proposed process can successfully lessen expenditures in consensus building.
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Extra resources for Consensus Building in Group Decision Making: Searching the Consensus Path with Minimum Adjustments
Then, the individual consistency improving method and the consensus model are proposed, respectively. Finally, several properties of the proposed consensus reaching model are analyzed. (1) Consensus framework The implementation of the iteration-based consensus model deals with a two-step procedure (see Fig. 2). 2 Consensus with Multiplicative Preference Relations 55 Fig. 2 The Iteration-based consensus framework with the multiplicative preference relations (i) Individual consistency improving method The individual consistency improving method firstly uses GICL to measure the individual consistency degree of multiplicative preference relations Ak , k = 1, 2, .
However, the adjustment cost ci is difficult to evaluate in practice. So, we only take into account the adjustment cost in the GDM with utility preferences, and in the later chapters the adjustment cost is not considered. 2 Consensus Under Aggregation Function In the section, we investigate the MCCM under the utility preferences and aggregation functions. Moreover, we extend the MCCM into the maximum expert consensus model (MECM). 2 yields different MCCMs. Here, we examine the MCCMs under the WA operator and OWA operator in detail.
N. If GCCL(Ak ) ≤ GCCL (or GOCL(Ak ) ≤ GOCL), k = 1, 2, . . , n, it doesn’t adjust Ak , k = 1, 2, . . , n. Otherwise, it helps the experts reach the acceptable consensus. Finally, all multiplicative preference relations Ak , k = 1, 2, . . , n, are of acceptably individual consistency and are of acceptable consensus. (2) Individual consistency improving method In the AHP discipline, individual consistency improving methods are very widely investigated [6, 13, 20, 22, 30, 32]. In particular, Xu and Wei  proposed an individual consistency improving method based on the EM and Saaty’s consistency index.
Consensus Building in Group Decision Making: Searching the Consensus Path with Minimum Adjustments by Yucheng Dong, Jiuping Xu