1994
DOI: 10.1016/0377-2217(94)90279-8
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An approach to using the analytic hierarchy process for solving multiple criteria decision making problems

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Cited by 26 publications
(16 citation statements)
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“…AHP technique requires DMs to express their preferences for attributes using crisp numbers, and calculates a weight vector that quantifies the level of importance of factors. Bryson and Mobolurin [10] however, debate that other weight vectors may exist which are slight perturbations of AHP-derived weight vectors, and could be viewed as approximately reflecting DMs' preferences. Given this, the inherent subjectivity in the DMs' level of importance for the factors cannot be represented as a single weight vector.…”
Section: Analytic Hierarchy Process and Fuzzy Logicmentioning
confidence: 97%
“…AHP technique requires DMs to express their preferences for attributes using crisp numbers, and calculates a weight vector that quantifies the level of importance of factors. Bryson and Mobolurin [10] however, debate that other weight vectors may exist which are slight perturbations of AHP-derived weight vectors, and could be viewed as approximately reflecting DMs' preferences. Given this, the inherent subjectivity in the DMs' level of importance for the factors cannot be represented as a single weight vector.…”
Section: Analytic Hierarchy Process and Fuzzy Logicmentioning
confidence: 97%
“…Application of the AHP multicriteria method (Saaty, 1980) has the following advantages; its methodology is similar to that used in common sense of decision makers, making the method easier for them to understand, it allows the assessment of both objective and subjective criteria, through the pairwise comparison of all alternatives, it relies on judgment data of experts and provides techniques that examine the consistency of the criteria weights and rankings of the alternatives (Bryson and Mobolurin, 1994;Calantone et al, 1999;Dey, 2002;Moffett and Sarkar, 2006). AHP has been used as a decision-making tool in various research fields, including project management (Al-Harbi, 2001), supply chain management (Calantone et al, 1999;Korpela et al, 2001), benchmarking of business functions (Eyrich, 1991;Korpela and Tuominen, 1996), natural resources management (Kangas and Kangas, 2005;Willett and Sharda, 1991) and investments (Jain and Nag, 1996;Levary and Wan, 1999).…”
Section: Ahp For Optimum Transcontinental Pipeline Routementioning
confidence: 99%
“…For detailed reasoning of this account we refer to Lunging [5], Bryson and Mobolurin [8] and Ball et.al. [12].…”
Section: ( )mentioning
confidence: 99%