scholarly journals MARGINAL MATERIAL EVALUATION AND SELECTION USING ANALYTIC HIERARCHY PROCESS MODEL

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Wentao Li ◽  
Doug J Wilson ◽  
Tam J Larkin
Keyword(s):  
Analytic Hierarchy Process ◽  
Process Model ◽  
Road Construction ◽  
Good Method ◽  
Engineering Properties ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
Overall Performance ◽  
The Individual ◽  
Hierarchy Process

Marginal materials, also called sub-standard materials, have the potential to replace premium materials in local roads. However, the current definition of marginal materials suffers from the limitation of focusing on whether or not each single property meets the corresponding requirement of specifications rather than reflecting the overall performance of the materials. To overcome this limitation and to better understand the concept of ‘marginal material’, this study was conducted using the Analytic Hierarchy Process (AHP) framework to evaluate the overall performance of five aggregates and an assumed boundary aggregate based on multiple factors (various engineering properties and performance). The aggregates were ranked through comparing the overall weight of each material, which was obtained based on the analysis of the relative weights of criteria and sub-criteria along with data processing of engineering properties.The AHP model is a good method to select the best aggregates within a number of given aggregates. It can describe the overall performance of aggregates in a quantitative way, which allows the qualities of the aggregates to be compared to each other so that the proper aggregates can be selected for different road construction purposes. The validation of the AHP model demonstrates that the AHP analyzed qualities of the aggregates match well to their qualities in field road construction, but there is a need to make a combination analysis on the individual properties (specification pass/fail criteria) and overall performance (AHP model) in the process of evaluating the quality of aggregates.https://doi.org/10.13022/ijahp2017.v9.is1.358

Study of Influence of Road Construction on Grassland in Inner Mongolia

2013 ◽  
Vol 807-809 ◽  
pp. 1881-1885
Author(s):  
Chun Mei Zhang ◽  
Min Zhao ◽  
Xue Lv
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Analytic Hierarchy Process ◽  
Inner Mongolia ◽  
Road Construction ◽  
Environment Protection ◽  
Analytic Hierarchy ◽  
The Sustainable Development ◽  
Inner Mongolia Grassland ◽  
Hierarchy Process

In this paper, the indexes that are used to assess the influence of road construction on Inner Mongolia grassland have been proposed based on the environment protection perspective. The Analytic hierarchy process was employed to evaluate the importance of different indexes regarding to influence. These indexes would be used to provide information for decision making about road construction in order to achieve the sustainable development of grassland.

Probabilistic Linguistic Analytic Hierarchy Process and Its Application on the Performance Assessment of Xiongan New Area

2018 ◽  
Vol 17 (06) ◽  
pp. 1693-1724 ◽  
Author(s):  
Wanying Xie ◽  
Zeshui Xu ◽  
Zhiliang Ren ◽  
Hai Wang
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Uncertain Information ◽  
Decision Matrix ◽  
Analytic Hierarchy ◽  
Decision Tools ◽  
Probabilistic Linguistic Term Set ◽  
Complex Decision Making ◽  
The Individual ◽  
Hierarchy Process

Analytic Hierarchy Process (AHP) is one of the most favorable decision tools for dealing with complex decision-making problems. Probabilistic linguistic term set (PLTS) is an up-to-date tool to deal with uncertain information in the decision-making process. In this paper, we extend the AHP to the probabilistic linguistic environment for perfecting the modeling ability of AHP in various decision-making problems. In order to apply the PLTSs to the AHP properly, we first redefine the probabilistic linguistic comparison matrix (PLCM) and propose a new consistency index. Then, we propose a new approach to check and improve the consistency of the PLCMs. After that, we aggregate the individual PLCMs into the collective PLCM and derive the priorities of the collective PLCM. Finally, we combine the priorities with the decision matrix to complete the ranking of alternatives, and a case concerning the performance assessments of three new areas is given and the comparative analysis about the results is performed to demonstrate the feasibility of the proposed method.

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