A rule-based approach for dynamic analytic hierarchy process decision-making

2020 ◽  
Vol 12 (1) ◽  
pp. 36
Author(s):  
Yun Ning Liu ◽  
Shiow Yang Wu
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Rule Based ◽  
Rule Based Approach ◽  
Hierarchy Process ◽  
Process Decision

scholarly journals AHP Book Announcements

2016 ◽  
Vol 8 (2) ◽  
Author(s):  
Antonella Petrillo ◽  
Enrique Mu
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Strategic Decisions ◽  
Analytic Hierarchy ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process ◽  
Process Decision

Two more books are added to the AHP bibliography this month: First, a book titled Applications and Theory in Analytic Hierarchy Process - Decision Making for Strategic Decisions, edited by Fabio de Felice, Thomas L. Saaty and Antonella Petrillo.  The second book is Practical Decision Making: Introduction to the Analytic Hierarchy Process using Super Decisions v2, written by Enrique Mu and Milagros Pereyra-Rojas and publish by Springer.

On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria

2016 ◽  
Vol 2 (3) ◽  
pp. 54
Author(s):  
G. Marimuthu ◽  
G. Ramesh
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Decision Models ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Comparison Model ◽  
Hierarchy Process

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.

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