scholarly journals Environmental Risk Assessment of Subway Station Construction to Achieve Sustainability Using the Intuitionistic Fuzzy Analytic Hierarchy Process and Set Pair Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Junwu Wang ◽  
Sen Liu ◽  
Yinghui Song ◽  
Jing Wang ◽  
Han Wu
Keyword(s):  
Risk Assessment ◽  
Analytic Hierarchy Process ◽  
Environmental Risk ◽  
Environmental Risk Assessment ◽  
Set Pair Analysis ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Hierarchy Process ◽  
Pair Analysis

Environmental risks have a significant impact on the sustainability of subway station construction projects. This paper proposes an environmental risk assessment model based on the intuitionistic fuzzy analytic hierarchy process (IFAHP) and set pair analysis (SPA) to deal with the ambiguity and uncertainty in the assessment. An index system for environmental risk assessment is established based on a literature review and the rough set method. Subsequently, the IFAHP is used to calculate the indicator weights to describe the certainty, uncertainty, and hesitation degree of expert decisions in the weighting calculation by means of affiliation, nonaffiliation, and hesitation. Finally, SPA, which can deal with the randomness, uncertainty, and ambiguity of the indicators, is used to assess environmental risk. A case study of two typical stations (Lushan Avenue Station and Huilong Road West Station) of Metro Line 11 in Chengdu, China, is conducted. The case study results are consistent with field surveys. The evaluation results of the proposed model are more objective and reasonable than those of the traditional analytic hierarchy process, the entropy weight method, fuzzy comprehensive evaluation, grey correlation analysis, and technique for order of preference by similarity to an ideal solution (TOPSIS). The research results prove the scientific validity and superiority of the proposed model.

Multi-criteria supplier selection model using the analytic hierarchy process approach

2016 ◽  
Vol 11 (1) ◽  
pp. 326-354 ◽  
Author(s):  
Vinod Yadav ◽  
Milind Kumar Sharma
Keyword(s):  
Analytic Hierarchy Process ◽  
Automobile Industry ◽  
Supplier Selection ◽  
Selection Process ◽  
Selection Model ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Proposed Model ◽  
Hierarchy Process

Purpose – The purpose of this paper is to propose a supplier selection model for an automobile company using analytic hierarchy process (AHP) approach. Supplier selection is now growing to be an important but complex issue, as it involves a large number of factors and decisions. These factors have complicated operational and financial implications. Design/methodology/approach – A case study of an Indian automobile company is used to illustrate and propose a supplier selection model using AHP approach. Findings – Key criteria of the supplier selection problem are identified based on the literature review and case study. Then, a model is proposed for supplier selection using AHP approach followed by a detailed sensitivity analysis. Practical implications – This paper contributes to supplier selection process, and points out the importance of supplier selection. It proposes a supplier selection model for an automobile industry which often faces heterogeneous supply environments. The proposed model provides key criteria for supplier selection in Indian context. This model may have high acceptability, where a large number of suppliers are available to supply the materials or provide the services. Originality/value – The proposed model can provide guidelines and directions for managers involved in purchasing function to effectively select suppliers on the basis of the identified criteria in the heterogeneous manufacturing environment.

Pipeline Risk Assessment Using Analytic Hierarchy Process (AHP)

2011 ◽  
Author(s):  
Sirous F. Yasseri ◽  
R. B. Mahani
Keyword(s):  
Risk Assessment ◽  
Analytic Hierarchy Process ◽  
Risk Reduction ◽  
Risk Mitigation ◽  
Mitigation Measures ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Risk Reduction Measure ◽  
Risk Reduction Measures ◽  
Hierarchy Process

Deciding on the effectiveness of risk reduction measures is a common problem that involves tradeoffs among multiple different and generally qualitative criteria. Often risk mitigation measures implemented for pipeline risk reduction cannot be easily quantified, but it can be ranked. Hence, there is a need to identify which risk reduction measure is the most effective amongst the competing options. This paper uses Analytic Hierarchy Process (AHP) approach to select optimal solutions that best satisfies all of the decision maker’s requirements. This paper presents the development of an AHP model and the derivation of a quality index. The model is used for a hypothetical case study of various remediation works to an existing pipeline. The advantages of using such a technique are also discussed. This proposed model of risk assessment is useful for risk management during the planning and building stages of a new pipeline, as well as for modification and changes of use for an existing pipeline.

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