Reducing inconsistency measured by the geometric consistency index in the analytic hierarchy process

Aguarón, Juan; Escobar, Marı́a Teresa; Moreno-Jiménez, José Marı́a

doi:10.1016/j.ejor.2020.06.014

Cited by 62 publications

(42 citation statements)

References 34 publications

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“…In this regard, it should be highlighted that transitivity thresholds, proposed by Amenta et al (2020a), constitute a useful technique since they provide meaningful information about the degree of misclassification and the reliability of preferences while avoiding the need to revise the judgments. Alternatively, Aguarón et al (2020) have proposed a procedure to reduce the inconsistency measured by the geometric consistency index. Note that the acceptability of the results derived from the paired comparison matrices alone is insufficient, and a hierarchical inconsistency ratio should be calculated by considering the inconsistency ratios of the matrices, the hierarchical structure of the model, and Saaty's experimental formula (Saaty, 1980).…”

Section: The Ahp Methodsmentioning

confidence: 99%

Analytical hierarchy process: revolution and evolution

2021

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The Analytical Hierarchy Process (AHP) is a reliable, rigorous, and robust method for eliciting and quantifying subjective judgments in multi-criteria decision-making (MCDM). Despite the many benefits, the complications of the pairwise comparison process and the limitations of consistency in AHP are challenges that have been the subject of extensive research. AHP revolutionized how we resolve complex decision problems and has evolved substantially over three decades. We recap this evolution by introducing five new hybrid methods that combine AHP with popular weighting methods in MCDM. The proposed methods are described and evaluated systematically by implementing a widely used example in the AHP literature. We show that (i) the hybrid methods proposed in this study require fewer expert judgments than AHP but deliver the same ranking, (ii) a higher degree of involvement in the hybrid voting AHP methods leads to higher acceptability of the results when experts are also the decision-makers, and (iii) experts are more motivated and attentive in methods requiring fewer pairwise comparisons and less interaction, resulting in a more efficient process and higher acceptability. KeywordsDecision support systems • Analytical hierarchy process multi-criteria decision-making • Weighting methods • Pairwise comparison • Consistency B Madjid Tavana

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Section: The Ahp Methodsmentioning

confidence: 99%

Analytical hierarchy process: revolution and evolution

2021

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“…Here, each index is weighed both objectively and subjectively (Table 2). Inspired by entropy theory [18], each index was weighed by the reciprocal of its divergence. As shown in Table 2, AE and TRR had much greater weights than EUF, that is, the former two change much more violently than EUF.…”

Section: Overall Utility Assessmentmentioning

confidence: 99%

Influence of Air Supply Height on Sleep Comfort Through Computational Fluid Dynamics Simulation

Gao¹,

Shang²,

Xia³

et al. 2021

IJHT

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Taking the bed in the bedroom as an air-conditioning system (ACS), this paper attempts to disclose the influence of air supply height (ASH) on sleep comfort. Specifically, a computational fluid dynamics (CFD) model was established to simulate the air temperature distribution, air speed, and carbon dioxide content (CDC) indoor at five ASHs of the ACS. The simulation results were compared with lab data. On this basis, the aeration efficiency (AE), temperature regulation risk (TRR), and energy-use factor (EUF) of the ACS were analyzed under different working conditions, and the overall efficacy of the ACS was assessed comprehensively by the technique for order of preference by similarity to ideal solution (TOPSIS).

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“…The missing elements given by this method can also be used to correct the error elements. The authors of [ 22 ] presented a theoretical framework and a procedure for revising the judgments and improving the inconsistency of an AHP pairwise comparison matrix, when the Row Geometric Mean (RGM) is used as the prioritization procedure and the Geometric Consistency Index (GCI) is the inconsistency measure.…”

Section: Current Workmentioning

confidence: 99%

Comprehensive Evaluation on Space Information Network Demonstration Platform Based on Tracking and Data Relay Satellite System

Liu

Shi

Xiao

et al. 2020

Sensors

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Due to the global coverage and real-time access advantages of the Tracking and Data Relay Satellite System (TDRSS), the demonstration platform based on TDRSS can satisfy the new technology verification and demonstration needs of the space information network (evolution from sensorweb). However, the comprehensive evaluation research of this demonstration platform faces many problems: complicated and diverse technical indicators in various areas, coupling redundancy between indicators, difficulty in establishing the number of indicator system layers, and evaluation errors causing by subjective scoring. Concerning the difficulties, this paper gives a method to construct this special index system, and improves the consistency of evaluation results with Analytic Hierarchy Process in Group Decision-Making (AHP-GDM). A comprehensive evaluation index system including five criterions, 11 elements, more than 30 indicators is constructed according to the three-step strategy of initial set classification, hierarchical optimization, and de-redundancy. For the inconsistent scoring of AHP-GDM, a high-speed convergence consistency improvement strategy is proposed in this paper. Moreover, a method for generating a comprehensive judgment matrix (the aggregation of each judgment matrix) aggregation coefficient is provided. Numerical experiments show that this strategy effectively improves the consistency of the comprehensive judgment matrix. Finally, taking the evaluation of TDRSS development as an example, the versatility and feasibility of the new evaluation strategy are demonstrated.

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Reducing inconsistency measured by the geometric consistency index in the analytic hierarchy process

Cited by 62 publications

References 34 publications

Analytical hierarchy process: revolution and evolution

Analytical hierarchy process: revolution and evolution

Influence of Air Supply Height on Sleep Comfort Through Computational Fluid Dynamics Simulation

Comprehensive Evaluation on Space Information Network Demonstration Platform Based on Tracking and Data Relay Satellite System

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