2012
DOI: 10.1080/00207543.2012.657966
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AHPSort: an AHP-based method for sorting problems

Abstract: Six problem formulations exist in multi-criteria decision analysis (MCDA): choice, sorting, ranking, description, elimination and design problems. The Analytic Hierachy Process (AHP) is a useful and widespread method for solving choice and ranking problems. However, it is not adapted for sorting problems. Moreover, another practical limitation of AHP is that a high number of alternatives implies a large number of comparisons. This paper presents AHPSort, a new variant of the AHP, used for the sorting of altern… Show more

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Cited by 219 publications
(139 citation statements)
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“…There are number of MCDM techniques available, but analytical hierarchy process (AHP) is among the most powerful. According to Lee and Drake [8] and Ishizaka et al [9], AHP is a reliable tool in modern scenarios because it provides optimal solutions for many complex multi-criteria decision making problems. Originally proposed by Saaty in 1980, AHP has been applied in a variety of applications; it measures intangibles with the assistance of experts' judgments through pair-wise comparisons [10].…”
Section: Solution Methodologymentioning
confidence: 99%
“…There are number of MCDM techniques available, but analytical hierarchy process (AHP) is among the most powerful. According to Lee and Drake [8] and Ishizaka et al [9], AHP is a reliable tool in modern scenarios because it provides optimal solutions for many complex multi-criteria decision making problems. Originally proposed by Saaty in 1980, AHP has been applied in a variety of applications; it measures intangibles with the assistance of experts' judgments through pair-wise comparisons [10].…”
Section: Solution Methodologymentioning
confidence: 99%
“…MCDA is a method that helps decision makers to evaluate, prioritize, and select between many conflicting alternatives and criteria [16,17]. MCDA is also known as Multiple Criteria Decision Making (MCDM), Multi Criteria Decision Aiding (MCDA), Multi-Attribute Decision Analysis (MADA), Multiple Objective Decision Analysis (MODA), and Single Participant-Multiple Criteria Decision Making (SPMC) [18]).…”
Section: Methods and Datamentioning
confidence: 99%
“…Namun, keberagaman latar belakang para pakar dengan kompetensi dan keilmuwan yang berbeda-beda juga dapat melahirkan keputusan yang beragam pula. Oleh karena itu, berbagai metode telah berkembang untuk merumuskan akumulasi pendapat para pakar ini dalam menyajikan Yoon, 1981;Wang 2011;Behzadiana et al 2012), Analytic Hierarchy Process (AHP) (Ishizakaa 2012;Aminbakhsh, 2013;Saaty, 2013), Simple Additive Weighting (SAW) (Afshari et al 2010;Jain dan Raj, 2013;Salehi dan Izadikhah, 2014), Weighted Product Model (WPM) (Wang, 2011;Jain dan Raj, 2013), Analytic Network Process (ANP) (Yang et al 2008;Saaty, 2013;Aragones-Beltran et al 2014), Multi Atribut Utility Theory (MAUT) (Velasquez dan Hester, 2013;Claudio et al 2014), Elimination and Choice Expressing Reality (ELECTRE) (Putra et al 2015), Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) (Hopfe, 2009;Velasquez dan Hester, 2013), Data Envelopment Analysis (DEA) (Lotfi et al 2011;Velasquez dan Hester, 2013), Value Analysis (VA) and Value Engineering (VE) (SAVE, 2007;Miles, 2015), Visekriterijumslca Optimizacija I Kompromisno Resenje (VIKOR) (Liu dan Wang, 2011;Mardani et al 2016;), Interpretive Structural Modeling (ISM) (Jayalakshmi dan Pramod, 2015;Poduval et al 2015), Bayesian Analysis (BA) (Andraszewicz et al 2015;Cho, 1998) dan lainnya. Setiap metode memiliki filosofinya tersendiri dan tidak ada satu lebih benar dari lainnya (Tamiz et al 1998 Thompson et al 2006;Kao, 2010).…”
Section: Pendahuluanunclassified