Research on the Optimal Aggregation Method of Decision Maker Preference Judgment Matrix for Group Decision Making

Liu, Wei; Li, Lei

doi:10.1109/access.2019.2923463

Cited by 7 publications

(1 citation statement)

References 33 publications

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“…The sixth engineer reassessed the pairwise comparison between C4 and C6 with a change from score 6 to 3 so that CI < 0.1 was obtained. When decision-making in an organization has significantly different assessment scores among all experts, the AHP literature usually uses the weighted geometric mean method (π) [37] [38].…”

Section: Results and Discussion Multicriteria Scoring Using Ahpmentioning

confidence: 99%

Civil site selection of the gas engine power plant by value-based decision multicriteria in Kupang, Indonesia

Retnaningtias,

Arifin,

Anugia

2024

Sinergi

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Site selection is one of the main activities in technical system planning to achieve the best design and location of the power plant. Improper site selection methods tend to increase the construction cost, create difficulties in securing primary energy sources, and cause inefficient electricity distribution. The earlier civil site selection process using the scoring method adopted by several utility companies still had some disadvantages that required improvement. This study aimed to propose and test a civil site selection method based on the economic Multi-Criteria Decision-Making (MCDM) that combines Geographical Information System (GIS), Analytical Hierarchy Process (AHP) and Value Based Decision (VBD) simultaneously and based on the collaborative assessment of several engineers. The study investigated Kupang GEPP 40 MW with five alternative locations using the Expert Choice 11 tool to determine the weight of the criteria, alternative locations rating, and the weight of the cost estimate based on GIS data. The analysis revealed that only alternative 1 and alternative 5 are considered feasible. Alternative 5, Panaf, emerges as the most favorable site for Kupang GEPP with a value of 7.087. Further research has been suggested to include more detailed data for site selection.

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Section: Results and Discussion Multicriteria Scoring Using Ahpmentioning

confidence: 99%

Civil site selection of the gas engine power plant by value-based decision multicriteria in Kupang, Indonesia

Retnaningtias,

Arifin,

Anugia

2024

Sinergi

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On the Combinatorial Acceptability Entropy Consensus Metric for Multi-Criteria Group Decisions

Goers,

Horton

2024

Group Decis Negot

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In group decisions, achieving consensus is important, because it increases commitment to the result. For cooperative groups, Combinatorial Multicriteria Acceptability Analysis (CMAA) is a group decision framework that can achieve consensus efficiently. It is based on a novel Combinatorial Acceptability Entropy (CAE) consensus metric. As an output measure, the CAE metric is unique in its ability to identify the evaluations that have the greatest impact on consensus and to prevent premature consensus. This paper is intended to complement the original CMAA publication by providing additional insights into the CAE consensus metric. The design requirements for the CAE algorithm are presented, and it is shown how these requirements follow from the properties of cooperative decisions. The CAE-based consensus-building algorithm is contrasted both qualitatively and quantitatively with a representative example of the conventional input distance and input averaging approach to multi-criteria consensus-building. A simulation experiment illustrates the ability of the CAE-based algorithm to converge quickly to the correct decision as defined for cooperative decisions. The metric is able to meet a new, more stringent definition of hard consensus. The CAE approach highlights the need to distinguish between competitive and cooperative group decisions. Attention in the literature has been paid almost exclusively to the former type; the CAE approach demonstrates the greater efficiency and effectiveness that can be achieved with an approach that is designed specifically for the latter.

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Research on the Optimal Aggregation Method of Judgment Matrices Based on Spatial Steiner-Weber Point

Liu,

Wang,

2023

J Syst Sci Complex

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Research on the Optimal Aggregation Method of Decision Maker Preference Judgment Matrix for Group Decision Making

Cited by 7 publications

References 33 publications

Civil site selection of the gas engine power plant by value-based decision multicriteria in Kupang, Indonesia

Civil site selection of the gas engine power plant by value-based decision multicriteria in Kupang, Indonesia

On the Combinatorial Acceptability Entropy Consensus Metric for Multi-Criteria Group Decisions

Research on the Optimal Aggregation Method of Judgment Matrices Based on Spatial Steiner-Weber Point

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