A note on AHP group consistency for the row geometric mean priorization procedure

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

doi:10.1016/s0377-2217(03)00154-1

Cited by 173 publications

(128 citation statements)

References 7 publications

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“…The values of 1, 3, 5, 7, and 9, in), represent equal importance, weak importance, essential importance, demonstrated importance, and extreme importance, respectively; while the values 2, 4, 6, and 8 are used to compromise between the above values. (4) To calculate the importance degree, the normalisation of the geometric mean method is used to determine the important degrees of the decision maker's requirements (Escobar et al, 2004). Let W f denoted the importance degree (weight) for the f th criteria, then:…”

Section: Ahpmentioning

confidence: 99%

Evaluating the efficiency performance of airports using an integrated AHP/DEA-AR technique

et al. 2015

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Airport efficiency is an area of increasing interest to academics, policy makers and practitioners. This has resulted in a body of literature applying various econometric techniques to compare efficiency between different samples of airports. This paper uses the multi-criteria decision making method Analytic Hierarchy Process (AHP) to incorporate the weightings of input and output variables into Data Envelopment Analysis (DEA) and Assurance Region DEA (DEA-AR) models, with 24 major international airports in the empirical analysis. The paper concludes the discriminatory power in the proposed AHP/DEA-AR model is greater than in the basic DEA model when measuring the efficiency of airports. By applying this approach, policy makers and practitioners can effectively compare operational efficiency between airports, and therefore generate more informed decisions.

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Section: Ahpmentioning

confidence: 99%

Evaluating the efficiency performance of airports using an integrated AHP/DEA-AR technique

et al. 2015

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“…AHP method was firstly proposed by Saaty [2][3][4][5][6][7]. It is an analytical method based on both mathematics and psychology for the decision making of perplex problems [5], and it has been successfully employed in many cases (e.g., major policy decisions, strategic planning, marketing applications, etc.)…”

Section: Ahp Methods Descriptionmentioning

confidence: 99%

The Importance-Weights Determination of the Safety Factors of Fishing Ports in Zhuhai via the AHP Method

Wang¹,

Wang²,

Li³

et al. 2017

Proceedings of the 2nd International Conference on Computer Engineering, Information Science &Amp; Application Technology (ICCI

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Abstract. The importance-weights determination (IWD) of the safety factors of fishing ports is a meaningful work, because it can be helpful for relevant departments to determine the focus of work and adopt proper measures. But it is an intrinsically complex process as well, for it relates to many fields (e.g., maritime transport management, port operations, etc.) with multiple criteria. In this paper, the Analytic Hierarchy Process (AHP) method, a commonly used decision analysis method, is utilized to make the IWD of Zhuhai's fishing ports safety factors. The IWD problem is greatly simplified and more valid with the AHP method, and through the consistency verification, the result effectively indicates the prioritizing order of all the safety factors.

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“…crisp values). For this measure, the thresholds associated with the 10% level of inconsistency suggested by Saaty are: GCI = 0.31 for n = 3, GCI = 0.35 for n = 4, GCI = 0.37 for n > 4 [42,43].…”

Section: Fuzzy Ahp Methodsmentioning

confidence: 99%

Renewable energy integration in smart grids-multicriteria assessment using the fuzzy analytical hierarchy process

Janjić¹,

Savić²,

Velimirović³

et al. 2015

Turk J Elec Eng & Comp Sci

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Abstract:Unlike the traditional way of efficiency assessment of renewable energy sources integration, the smart grid concept is introducing new goals and objectives regarding increased use of renewable electricity sources, grid security, energy conservation, energy efficiency, and deregulated energy market. Possible benefits brought by renewable sources integration are evaluated by the degree of the approach to the ideal smart grid. In this paper, fuzzy analytical hierarchy process methodology for the integration efficiency has been proposed, taking into account the presence of multiple criteria of both qualitative and quantitative nature, different performance indicators, and the uncertain environment of the smart grid. The methodology has been illustrated on the choice of the size and location of a distributed generator in the radial distribution feeder.

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A note on AHP group consistency for the row geometric mean priorization procedure

Cited by 173 publications

References 7 publications

Evaluating the efficiency performance of airports using an integrated AHP/DEA-AR technique

Evaluating the efficiency performance of airports using an integrated AHP/DEA-AR technique

The Importance-Weights Determination of the Safety Factors of Fishing Ports in Zhuhai via the AHP Method

Renewable energy integration in smart grids-multicriteria assessment using the fuzzy analytical hierarchy process

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