A sensitivity analysis algorithm for hierarchical decision models

Chen, Hongyi; Kocaoglu, Dundar F.

doi:10.1016/j.ejor.2006.12.029

Cited by 90 publications

(53 citation statements)

References 26 publications

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“…Such data, all the same, are often calculated less than a 100 % confidence level and subjected also to variations if the conditions change (Chen and Kocaoglu 2008). Meanwhile, owing to the type of an algorithm used at the core of the various judgment quantification techniques employed in HDM, they usually tend to produce different values of local contribution.…”

Section: Sensitivity Analysismentioning

confidence: 99%

Modified AHP-based decision-making model toward accurate selection of eligible maintenance media for production of taxanes in Taxus baccata callus culture

et al. 2015

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Attempts were made here to apply a modified analytic hierarchy process (AHP) approach based on refinement assay of dominated alternatives in monitoring the most reliable callus maintenance media (supplemented with L-glutamine and Casamino acid) of Taxus baccata callus cultures in terms of five criteria. Generally, regarding stem-derived calli, 6 out of 18 maintenance media were nominated as non-dominated alternatives, and following AHP ranking test Casamino acid-based media (i.e., A12, A15 and A19) were overall nominated as the premiere. Taking leaf-derived calli into account, only L-glutaminebased media in an ascending order of A8, A4, A6, A5, A9 and A3 were introduced as non-dominated alternatives. Such results connote that L-glutamine-based feeding appears to generate more significant results either for continuous calli growth or taxanes production. In contrast, regarding the second explant, stem, both amino acid supplies had fairly equal worth. Our findings, overall, demonstrate promising applications of the proposed AHP method regarding accurate selection of the best callus maintenance cultures of T. baccata for production of different taxanes including paclitaxel, Baccatin III and 10-deacetylbaccatin III. Similarly, this statistical approach could be also applicable for other crops, for instance, for accurate selection of the best callus cultures/media and consequently production improvement of a given plant secondary metabolite/product.

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Section: Sensitivity Analysismentioning

confidence: 99%

Modified AHP-based decision-making model toward accurate selection of eligible maintenance media for production of taxanes in Taxus baccata callus culture

et al. 2015

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“…Chen [18] grouped sensitivity analysis into three main groups: numerical incremental analysis, probabilistic simulations, and mathematical models The numerical incremental analysis, also known as One-at-a-time (OAT) or "trial and error" works by incrementally changing one parameter at a time, finding the new solution and showing graphically how the ranks change. There exist several variations of this method by Barker [19] and Hurley [20].…”

Section: Sensitivity Analysismentioning

confidence: 99%

Introduction to Multi-attribute Decision Making in Business Analytics

Fox

2014

Advanced Business Analytics

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“…Moreover, in Hahn (2003) a stochastic characterization of the pairwise comparison judgments is provided, while statistical models for deriving the weights of the alternatives using Markov chain Monte Carlo are also presented. Furthermore, Farkas (2007) theoretically studied the conditions for rank reversal on perturbing the PWC matrices, while Chen and Kocaoglu (2008) also studied the rank reversal problem in this particular context, and came up with an algorithm to analyze the sensitivity of hierarchical decision models.…”

Section: Introductionmentioning

confidence: 99%