2017
DOI: 10.1007/s00500-017-2639-y
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Enhanced fuzzy-analytic hierarchy process

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Cited by 17 publications
(5 citation statements)
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“…The method can effectively deal with the fuzzy information and uncertainty present in the decision problem, making decision-making more flexible. It is also able to consider the interrelationships between elements within and between different levels, reflecting the complexity of the problem more fully [42,43].…”
Section: Comprehensive Evaluation Methodsmentioning
confidence: 99%
“…The method can effectively deal with the fuzzy information and uncertainty present in the decision problem, making decision-making more flexible. It is also able to consider the interrelationships between elements within and between different levels, reflecting the complexity of the problem more fully [42,43].…”
Section: Comprehensive Evaluation Methodsmentioning
confidence: 99%
“…For n = 1,…,9, Saaty gives the corresponding RI values, as shown in Table 5. (8) The solution yields C.I.=0.0783 and RI=1.11, at which time CR=0.0706<0.1, Then this judgment matrix has full consistency.…”
Section: Consistency Checkmentioning
confidence: 95%
“…Above we get a vector of weights of a set of elements to an element in its upper level, and the total ranking weights are synthesized from top to bottom under a single criterion to get the final indicator weight breakdown (shown in Table 6 below). This ultimately leads to the scheme selection [8].…”
Section: Hierarchical Total Ranking and Consistency Testmentioning
confidence: 99%
“…(2) Set weights: We use the "Analytic Hierarchy Process" (AHP) [28] to confirm the weight of every single indicator.…”
Section: Hierarchical Alliance Structure Modelmentioning
confidence: 99%