Fundamentals of the analytic network process — Dependence and feedback in decision-making with a single network

By Thomas L. Saaty. 2004

1,122 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/306b800d1d6f77ed3275e37849711b9571d111e1

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In Artificial Intelligence

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Citations in the corpus

A VIKOR technique based on DEMATEL and ANP for information security risk control assessment (2013, methodology): “ANP is an extension of AHP based on the concepts of Markov Chain, and it is a nonlinear dynamic structure [35].”
A Novel Hybrid MCDM Model Combined with DEMATEL and ANP with Applications (2008, methodology): “The ANP is a nonlinear structure, while the AHP is hierarchical and linear with the goal at the top and the alternatives at lower levels (Saaty (1999)).”
Analyzing alternatives in reverse logistics for end-of-life computers: ANP and balanced scorecard approach (2005, background): “Some of the fundamental ideas in support of ANP are (Saaty, 1999):”
Application of the analytic network process in multi-criteria analysis of sustainable forest management (2005, background): “This also yields an eigenvector of influence of all clusters on each cluster (Saaty, 1999).”
A balanced scorecard approach to establish a performance evaluation and relationship model for hot spring hotels based on a hybrid MCDM model combining DEMATEL and ANP (2011, result): “he ANP is a nonlinear structure that handles dependence within cluster (inner dependence) and among different clusters (outer ependence), in contrast to the AHP (Analytical Hierarchy Process) hich is hierarchical and linear with the goal at the top, and alteratives at lower levels (Saaty, 1999).”
Improving renewable energy policy planning and decision-making through a hybrid MCDM method (2020, methodology): “Since ANP considers all feedbacks and interaction among the decision criteria, it has become more demanding for solving complex decision problems than the simple hierarchy methods (Saaty, 2004).”
Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company (2009, background): “Finally, the resulting influences must be weighted by the importance of the properties and added to obtain the overall influence of each element (Saaty, 2003; Saaty, 1999).”
A hybrid MCDM model for strategic vendor selection (2006, background): “making assumptions about a unidirectional hierarchy relationship between decision levels [10,43].”