RANKING DECISION ALTERNATIVES BY INTEGRATED DEA, AHP AND GOWER PLOT TECHNIQUES

2008 ◽  
Vol 07 (02) ◽  
pp. 241-258 ◽  
Author(s):  
HAN-LIN LI ◽  
LI-CHING MA
Keyword(s):  
Decision Making ◽  
Iterative Method ◽  
Analytic Hierarchy Process ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Dea Models ◽  
Decision Alternatives ◽  
Hierarchy Process ◽  
Decision Making Units ◽  
Data Envelop Analysis

Data Envelop Analysis (DEA) and Analytic Hierarchy Process (AHP) are widely used methods in ranking decision alternatives. However, current DEA models are difficult to discriminate decision-making units through articulating the decision makers' preferences. While AHP and Gower plot models have to specify complete pairwise preferences without providing assisting information. This study develops an iterative method of ranking decision alternatives by integrating DEA, AHP and Gower plot techniques. The developed method first utilizes a modified DEA model to narrow the ranges of a decision maker's preferences. Then, the tentative ranks of the decision alternatives, computed by embedding the decision maker's preferences, are depicted via Gower plots to illustrate the cardinal and ordinal inconsistencies of these preferences. The decision maker then adjusts the preferences iteratively until the inconsistencies are within the tolerance.

Some Conflicting Results in the Analytic Hierarchy Process

2019 ◽  
Vol 18 (02) ◽  
pp. 465-486 ◽  
Author(s):  
Ardalan Bafahm ◽  
Minghe Sun
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Decision Makers ◽  
Unexpected Result ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Preference Relations ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

The analytic hierarchy process (AHP) has been believed to be one of the most pragmatic and widely accepted methods for multi-criteria decision making. However, there have been various criticisms of this method within the last four decades. In this study, the results of AHP contradicting common expectations are examined for both the distributive and ideal modes. Specifically, conflicting priorities, conflicting decisions, and conflicting preference relations are investigated. A decision-making scenario is used throughout the paper and an illustrative example constructed from the decision-making scenario is provided to demonstrate each of the conflicting results recommended by AHP. With a parametric formulation of each unexpected result, the possibility of unexpected results of AHP is generalized irrespective of applying the distributive or ideal mode. The logic and causes of these contradictions are also analyzed. This study shows that AHP is not always reliable, and could lead the decision makers towards incorrect decisions.

HANDLING UNCERTAINTY IN THE ANALYTIC HIERARCHY PROCESS: A STOCHASTIC APPROACH

2007 ◽  
Vol 06 (01) ◽  
pp. 177-189 ◽  
Author(s):  
HAMIDREZA ESKANDARI ◽  
LUIS RABELO
Keyword(s):  
Analytic Hierarchy Process ◽  
Rank Order ◽  
Stochastic Approach ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Propagation Of Uncertainty ◽  
The Analytic Hierarchy Process ◽  
Decision Alternatives ◽  
School Selection ◽  
Hierarchy Process

This paper describes a methodology for handling the propagation of uncertainty in the analytic hierarchy process (AHP). In real applications, the pairwise comparisons are usually subject to judgmental errors and are inconsistent and conflicting with each other. Therefore, the weight point estimates provided by the eigenvector method are necessarily approximate. This uncertainty associated with subjective judgmental errors may affect the rank order of decision alternatives. A new stochastic approach is presented to capture the uncertain behavior of the global AHP weights. This approach could help decision makers gain insight into how the imprecision in judgment ratios may affect their choice toward the best solution and how the best alternative(s) may be identified with certain confidence. The proposed approach is applied to the example problem introduced by Saaty for the best high school selection to illustrate the concepts introduced in this paper and to prove its usefulness and practicality.

Group assessment of key indicators of sustainable waste management in developing countries

2017 ◽  
Vol 35 (9) ◽  
pp. 913-922 ◽  
Author(s):  
Bojana Tot ◽  
Goran Vujić ◽  
Zorica Srđević ◽  
Dejan Ubavin ◽  
Mário Augusto Tavares Russo
Keyword(s):  
Decision Making ◽  
Developing Countries ◽  
Waste Management ◽  
Analytic Hierarchy Process ◽  
Decision Makers ◽  
Borda Count ◽  
Analytic Hierarchy ◽  
The Analytic Hierarchy Process ◽  
Key Indicators ◽  
Hierarchy Process

Decision makers in developing countries are struggling to solve the present problems of solid waste management. Prioritisation and ranking of the most important indicators that influence the waste management system is very useful for any decision maker for the future planning and implementation of a sustainable waste management system. The aim of this study is to evaluate key indicators and their related sub-indicators in a group decision-making environment. In order to gain insight into the subject it was necessary to obtain the qualified opinions of decision makers from different countries who understand the situation in the sector of waste management in developing countries. An assessment is performed by 43 decision makers from both developed and developing countries, and the applied methodology is based on a combined use of the analytic hierarchy process, from the multi-criteria decision-making set of tools, and the preferential voting method known as Borda Count, which belongs to social choice theory. Pairwise comparison of indicators is performed with the analytic hierarchy process, and the ranking of indicators once obtained is assessed with Borda Count. Detailed analysis of the final results showed that the Institutional–Administrative indicator was the most important one, with the maximum weight as derived by both groups of decision makers. The results also showed that the combined use of the analytic hierarchy process and Borda Count contributes to the credibility and objectivity of the decision-making process, allowing its use in more complex waste management group decision-making problems to be recommended.

scholarly journals Analytic Hierarchy Process-Based Decision-Making Framework for Formwork System Selection by Contractors

2020 ◽  
Vol 25 (2) ◽  
pp. 235-255
Author(s):  
Seng Hansen ◽  
Pratama HR Siregar ◽  
Jevica
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Selection Criteria ◽  
Decision Makers ◽  
Assessment Criteria ◽  
Analytic Hierarchy ◽  
Process Technique ◽  
Decision Making Framework ◽  
System Selection ◽  
Hierarchy Process

This article presents a study of the contractors' preference for formwork system selection in Indonesian context. As decision makers, contractors are faced with challenges in choosing the formwork system for a particular project. While conventional timber formwork has been the most used formwork system in Indonesia, aluminium formwork is present although it has not been widely used. Thus, this research investigates the current practices of available formwork systems and its selection criteria in Indonesia. A decision-making framework (DMF) is developed by considering the appropriate assessment criteria for formwork system selection. This framework is then implemented through analytic hierarchy process technique. The result shows that contractors tend to choose aluminium formwork with a preference at 79% compared to conventional timber formwork with a preference at 21%. These findings can be used as considerations for contractors to start using aluminium formwork due to its excellence compared to conventional timber formwork. This study also proves that the proposed DMF can be applied and provides a sound decision related to formwork system selection.

scholarly journals Penggunaan Metode Analytic Hierarchy Process dalam Pengambilan Keputusan Penentuan Prioritas Program Kerja Dompet Dhuafa Yogyakarta

Telaah Bisnis ◽  
2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Djoko Wijono ◽  
Idham Ibty
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Decision Problem ◽  
Secondary Data ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Good Point ◽  
Hierarchy Process ◽  
Alternative Solutions ◽  
Made In

Abstract Manager always faced to make a choice from various alternatives. Here the necessary prioritization and test the consistency of the choices that have been made. In complex situations, decision-making is not influenced by one factor alone but is multifactorial and includes various levels and interests. The analytic hierarchy process (AHP) is a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology. It was developed by Thomas L. Saaty in the 1970s and has been extensively studied and refined since then. The AHP helps decision makers find one that best suits their goal and their understanding of the problem. It provides a comprehensive and rational framework for structuring a decision problem, for representing and quantifying its elements, for relating those elements to overall goals, and for evaluating alternative solutions. In this study, AHP used for decission making in Dhompet Dhuafa planning programs. First we decompose their decision problem into a hierarchy of more easily comprehended sub-problems, The elements of the hierarchy can relate to any aspect of the decision problem. The AHP converts these evaluations to numerical values that can be processed and compared over the entire range of the problem. This study use metodhologies: brain storming discuss, indepth interview, and collect secondary data. Find Dhompet Dhuafa solution problems by AHP.The good point of this study is showed how to use AHP for decision making.

The Analytic Hierarchy Process

2011 ◽  
pp. 29-37
Author(s):  
John Wang ◽  
Chandana Chakraborty ◽  
Huanyu Ouyang
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Decision Maker ◽  
Decision Makers ◽  
Decision Models ◽  
Mental Process ◽  
Analytic Hierarchy ◽  
Advantages And Disadvantages ◽  
Hierarchy Process ◽  
Made In

The challenges of evaluation and decision making are encountered in every sphere of life and on a regular basis. The nature of the required decisions, however, may vary between themselves. While some decisions may reflect individual solutions on simple problems, others may indicate collaborative solutions on complex issues. Regardless of their distinctive nature, all decisions are outcomes of a mental process. The process involves careful evaluation of merits of all the available options leading ultimately to the choice of a single solution. Numerous efforts have been made in the literature to develop decision models ideal for choosing the best solution for a given problem. The dilemma in using these decision models, however, can hardly be avoided. With differences in underlying methodology, each model serves a specific decision-making need of the decision maker. In the absence of a universal framework suitable for handling a variety of problems, decision makers are often required to identify the model best suited for their particular need. Furthermore, they need to take account of the advantages and disadvantages associated with the chosen model.

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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