scholarly journals TWO-STAGE PRIORITIZATION PROCEDURE FOR MULTIPLICATIVE AHP-GROUP DECISION MAKING

2020 ◽  
Vol 26 (2) ◽  
pp. 525-545
Author(s):  
Changsheng Lin ◽  
Gang Kou ◽  
Yi Peng ◽  
Fawaz E. Alsaadi
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Two Stage ◽  
Analytic Hierarchy ◽  
Priority Vector ◽  
The Individual ◽  
Collective Preference ◽  
Hierarchy Process ◽  
Multiplicative Ahp

In this paper, we propose two-stage prioritization procedure (TSPP) for multiplicative Analytic Hierarchy Process-group decision making (AHP-GDM), which involves determining the group priority vector based on the individual pair-wise comparison matrices (PCMs), simultaneously considering the consensus and consistency of the individual PCMs. The first stage of the TSPP involves checking and revising the individual PCMs for reaching the acceptable consensus and consistency. The second stage of the TSPP involves estimating the group priority vector using Bayesian approach. The main characteristics of the proposed TSPP are as follows: 1) It makes full use of the prior information as well as the sample information during the Bayesian revision of the individual PCMs and the Bayesian estimation of the group priority vector; 2) It ensures that the revised individual PCMs reach the acceptable consensus and consistency; 3) It enriches the aggregation methods for the collective preference in multiplicative AHP-GDM. Finally, two numerical examples are used to evaluate the applicability and effectiveness of the proposed TSPP by the comparisons with several other methods.

Supplier Selection by Extended TOPSIS to Obtain the Ideal Compromise Solution in Group Decision Making

2017 ◽  
Vol 4 (3) ◽  
pp. 71-85
Author(s):  
Mohammad Azadfallah
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Supplier Selection ◽  
Group Decision ◽  
Intuitionistic Fuzzy Set ◽  
Individual Preference ◽  
Multiple Criteria Decision Making ◽  
Extended Model ◽  
The Individual ◽  
Collective Preference

In the current literature, there are several studies, which the supplier selection is typically a Multi Criteria Group Decision Making problem. Several solutions for the above problem are proposed (from simple approaches; like, Borda, Condorcet, etc., to complex ones; like, Multiple Criteria Decision Making model combined with intuitionistic fuzzy set, etc.). To solve this problem, different method (particularly, extended TOPSIS method) are proposed in this paper. Firstly, we have used TOPSIS to find the individual preference ordering, then, we have used the extended version of this method to find the collective preference orderings. In addition, this model is capable of considering the expert weights. Finally, the proposed approach is compared with an existed approach (i.e., TOPSIS and Borda's function). Compared results show the advantage of our extended model over previous one.

scholarly journals A Hybrid Stochastic-Interval Analytic Hierarchy Process Approach for Prioritizing the Strategies of Reusing Treated Wastewater

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Liang Jing ◽  
Bing Chen ◽  
Baiyu Zhang ◽  
Pu Li
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Group Decision Making ◽  
Group Decision ◽  
Treatment Plant ◽  
Treated Wastewater ◽  
Agricultural Irrigation ◽  
Analytic Hierarchy ◽  
Industrial Reuse ◽  
Hierarchy Process

This paper proposes a hybrid stochastic-interval analytic hierarchy process (SIAHP) approach to address uncertainty in group decision making by integrating interval judgment, probabilistic distribution, lexicographic goal programming, and Monte Carlo simulation. A case study related to wastewater treatment plant (WWTP) effluent reuse was conducted to demonstrate the feasibility of the proposed approach. Four candidate alternatives including city moat landscaping, municipal reuse, industrial reuse, and agricultural irrigation were evaluated by five experts according to technical, economic, and environmental criteria. The results suggest that industrial reuse (0.18–0.3) is more preferred over municipal reuse (0.16–0.25) or agricultural irrigation (0.17–0.26) in most replications. The final score of city moat landscaping ranges from 0.11 to 0.31 which indicates a great divergence of expert opinions. It can be concluded that choosing industrial reuse seems to give the best overall account of technical, economic, and environmental concerns. The proposed SIAHP approach can aid group decision making by accommodating linguistic information and dealing with insufficient information or biased opinions.

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