Comparison of AHP and Monte Carlo AHP Under Different Levels of Uncertainty

Yaraghi, Niam; Tabesh, Pooya; Guan, Peiqiu; Zhuang, Jun

doi:10.1109/tem.2014.2360082

Cited by 90 publications

(46 citation statements)

References 51 publications

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“…In order to classify a set of decision-making alternatives based on different criteria, AHP comprises the following steps [18]: − Define the assessment criteria for the decision objective and establish a hierarchical framework. − Compare decision-making elements in pairs.…”

Section: Research Methods 21 Decision-making Algorithmsmentioning

confidence: 99%

Spectral opportunity selection based on the hybrid algorithm AHP-ELECTRE

2020

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Due to an ever-growing demand for spectrum and the fast-paced development of wireless applications, technologies such as cognitive radio enable the efficient use of the spectrum. The objective of the present article is to design an algorithm capable of choosing the best channel for data transmission. It uses quantitative methods that can modify behavior by changing quality parameters in the channel. To achieve this task, a hybrid decision-making algorithm is designed that combines analytical hierarchy process (AHP) algorithms and adjusts the weights of each channel parameter, using a priority table. The Elimination Et Choix Tranduisant La Realité (ELECTRE) algorithm processes the information from each channel through a weight matrix and then delivers the most favorable result for the transmitted data. The results reveal that the hybrid AHP-ELECTRE algorithm has a suitable performance, which improves the throughput rate by 14% compared to similar alternatives.

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Section: Research Methods 21 Decision-making Algorithmsmentioning

confidence: 99%

Spectral opportunity selection based on the hybrid algorithm AHP-ELECTRE

2020

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“…Third, Yaraghi et al (2015) compared the performance of stand-alone AHP with the performance of the integrated AHP-Monte Carlo Simulation approach against a real world and reliable ranking of blogs (weblogs) at different levels of uncertainty. Their simulation results indicate that when the uncertainty in terms of variation extends beyond 0.24, the integrated AHP-Monte Carlo Simulation approach provides more precise rankings than the stand-alone AHP.…”

Section: Integrated Ahp and Simulationmentioning

confidence: 99%

“…Applications areas Specific problems AHP-GP Kull and Talluri (2008) Automotive Supplier selection and order allocation Anzar et al 2011Agricultural Asset valuation AHP-MILP Kengpol (2008) Logistics Logistics distribution network optimization Validi et al (2014) Logistics Low carbon distribution system optimization AHP-DP Mafakheri et al (2011) General manufacturing Supplier selection and order allocation AHP-LP Ishizaka and Labib (2014) Government Disaster assessment and resource allocation AHP-MOLP Quezada and López-Ospina (2014) Fishing The cause-effect relationships within a strategy map Total 7 Authors Applications areas Specific problems AHP-simulation Ayaǧ (2007) Cutting-tool manufacturing Machine tool evaluation and selection Rabelo et al (2007) Construction Value chain evaluation and selection Ahn and Choi (2008) Internet retailing ERP system evaluation and selection Sharma and Agrawal (2009) General manufacturing Production control policy evaluation and selection Yaraghi et al (2015) Internet Blog ranking Total 5 29 Table 6. The integrated AHP-Other approaches and their applications…”

Section: Authors Applications Areasmentioning

confidence: 99%

The state-of-the-art integrations and applications of the analytic hierarchy process

2018

European Journal of Operational Research

367

151

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Because of its great flexibility and wide applicability, integrated analytic hierarchy process (AHP) approaches have been studied extensively for the last 20 years. This paper, as a follow-up study to Ho (2008), reviews the literature on the integrated AHP approaches and applications published between 2007 and 2016 and compares those studies with papers published during the previous decade, i.e., 1997-2006. Based on the 88 journal articles, five questions can be answered: (1) which type of integrated AHP approaches was paid most attention to? (2) Which application areas were integrated AHP approaches primarily applied to? (3) Which specific problems were integrated AHP approaches most commonly applied to? (4) What is the trend in publications regarding integrated AHP approaches? and (5) Which international journals were integrated AHP approaches most widely published in? Finally, some new applications of new AHP integrations are proposed to assist scholars in filling the literature research gaps.

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“…Before the process of synthesis evaluation, the relative importance in the same level should be determined. Present paper tries to use the analytic hierarchy process (AHP) theory [10,11] to calculate the index weight, which is shown in the following subsections. Judgment Matrix Composition.…”

Section: Index Weight Determinationmentioning

confidence: 99%

Target recognition based on stratified synthesis strategy

Yao¹,

Chai²,

Wang³

2015

Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference

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Target recognition is a hot topic in the field of ballistic missile defense. In this paper a stratified synthesis strategy is developed to recognize the real target objectively. Firstly, a hierarchical index system of target characteristic similarity is proposed, which considers the infrared, radar and dynamic-based characteristics respectively. Secondly, the weights of the indices are determined by employing the analytic hierarchy process (AHP) theory. Thirdly, a stratified synthesis strategy is provided to calculate the integrated characteristic similarity of different targets. Simulation example shows the efficiency of the proposed strategy.

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Comparison of AHP and Monte Carlo AHP Under Different Levels of Uncertainty

Cited by 90 publications

References 51 publications

Spectral opportunity selection based on the hybrid algorithm AHP-ELECTRE

Spectral opportunity selection based on the hybrid algorithm AHP-ELECTRE

The state-of-the-art integrations and applications of the analytic hierarchy process

Target recognition based on stratified synthesis strategy

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