Consensus Reaching Process in the Two-Rank Group Decision-Making with Heterogeneous Preference Information

Tang, Huali; Wan, Shoufu; Li, Cong-Cong; Liang, Haiming; Dong, Yucheng

doi:10.2991/ijcis.d.210201.001

Cited by 10 publications

(3 citation statements)

References 27 publications

(39 reference statements)

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“…The ordinal consensus degree among all decision-makers is given as follows: When the level of consensus is not met, a feedback adjustment procedure is applied to improve the level of consensus among decisionmakers, which is repeated until a predetermined level of consensus is reached  (Tang et al, 2021).…”

Section: Requirements Prioritization Techniquesmentioning

confidence: 99%

Logistics support planning model in the conditions of limited resources

Simić¹,

Milenkov²,

Milovanović³

et al. 2022

Vojnotehnički glasnik

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Introduction/purpose: The paper presents a model of logistics support planning in the conditions of limited logistic resources based on the prioritization of customer requirements and resource allocation. Decisionmakers play a crucial role in the efficient and equitable allocation of resources as they prioritize among different user requirements. Methods: Requirement prioritization techniques that use nominal scale, ordinal scale, and ratio scale, and five methods for converting ranks into weighting coefficients have been applied to determine the degree of significance of user requirements. The Requirements triage method has been used for establishing relative priorities, while the heuristic algorithm determining the Kemeny median was used to consolidate individually ranked requests into a group rank. In order to balance opposing demands of users, consensus measures of group decision making were used. For obtaining an optimal planned solution of logistic support, the methods and techniques of resource allocation were applied. Results: A model for adaptive planning of logistics support in the conditions of limited resource capacities of the logistics system has been developed. Conclusion: The proposed model can be effectively applied in other areas of resource allocation.

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Section: Requirements Prioritization Techniquesmentioning

confidence: 99%

Logistics support planning model in the conditions of limited resources

Simić¹,

Milenkov²,

Milovanović³

et al. 2022

Vojnotehnički glasnik

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“…Chen et al customized individual semantics by means of the possibility distribution of attitude and modeling the heterogeneity of evaluators which reflected the individual differences of cognitive styles [7]. Meanwhile, due to the difference in educational backgrounds [8][9][10][11], knowledge [12,13], experiences [8,[10][11][12][13][14], cultures [8,10,13,14], cognitive degrees [8,11], attributes [15], motivations [15], personalities [15], and expression habits [10,16] of evaluators, they usually use heterogeneous preference representation structures to express their preference for alternatives [8][9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

“…Chen et al customized individual semantics by means of the possibility distribution of attitude and modeling the heterogeneity of evaluators which reflected the individual differences of cognitive styles [ 7 ]. Meanwhile, due to the difference in educational backgrounds [ 8 – 11 ], knowledge [ 12 , 13 ], experiences [ 8 , 10 – 14 ], cultures [ 8 , 10 , 13 , 14 ], cognitive degrees [ 8 , 11 ], attributes [ 15 ], motivations [ 15 ], personalities [ 15 ], and expression habits [ 10 , 16 ] of evaluators, they usually use heterogeneous preference representation structures to express their preference for alternatives [ 8 – 16 ]. The preference structure is supposed to meet the heterogeneous needs of evaluators, yet a single preference structure fails to meet the differential expression habits and needs of evaluators from different fields.…”

Section: Introductionmentioning

confidence: 99%

A Consensus‐Reaching Approach to the Evaluation of Product Design Alternatives with Multiple Preference Structures

Chu

et al. 2021

Computational Intelligence and Neuroscience

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With interdisciplinarity being an important characteristic of contemporary product design, the evaluation of design alternatives also involves multiple disciplines, and the evaluator group usually consists of evaluators from different fields and with obvious heterogeneous characteristics. To effectively satisfy the heterogeneous needs of evaluators and improve the credibility of evaluation results, the paper introduces a consensus-reaching approach that incorporates multiple preferences to the evaluation of product design alternatives. First, in order to obtain individual preference information, each evaluator is asked to evaluate all the design alternatives using a preference structure that he/she is familiar with. Second, we use a transfer function to uniform the evaluation information obtained from various preference structures into a complementary judgment matrix. Then, we use the Hybrid Weighted Averaging (HWA) operator weight determination model to aggregate the preference information and obtain the group preference information. Then, we measure the consensus degree between individual evaluators and the group using a consensus measurement method. After that, we use the feedback mechanism to instruct individual evaluators to modify their preferences until a consensus is achieved. We explain the application steps and the feasibility of this approach through the evaluation of the design alternatives of multichannel fluorescence immunochromatography analyzers (MFIAs).

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