Seismic microzonation and building vulnerability assessment based on site characteristic and geotechnical parameters by use of Fuzzy-AHP model (a case study for Kermanshah city)

2019 ◽  
Vol 36 (2-4) ◽  
pp. 172-198
Author(s):  
Maryam Hassaninia ◽  
Rassoul Ajalloeian ◽  
Mohammad Reza Habibi
2018 ◽  
Vol 11 (2) ◽  
pp. 574-592 ◽  
Author(s):  
Elham Amini ◽  
Mohammad Baniasadi ◽  
Hossein Vahidi ◽  
Hossein Nematollahi ◽  
Mehrdad Khatami ◽  
...  

2020 ◽  
pp. 311-322

INTRODUCTION: The buildings, as the main and most abundant elements in cities, have great importance in two aspects of assessing and mitigating the vulnerability at disaster incidence. On the other hand, the emphasis of post disaster reconstruction engineers on the single-scale building has compounded the importance of building in terms of planning to reduce the damages of disaster incidence. METHODS: This quantitative-descriptive study was conducted documentary studies and extraction of priority indicators determining the degree of vulnerability. This research aimed to assess the vulnerability of Qadghoon buildings, one of the historical neighborhoods of Borujerd, Lorestan Province, Iran, which was damaged and reconstructed after the 2007 earthquake, for more than a decade. FINDINGS: The data obtained from the field study of this neighborhood were analyzed after entering into GIS software and weighted by Analytic Hierarchy Process-Delphi. The provided maps were evaluated and the vulnerability score obtained from indicators was weighted by the above method. Finally, the score of vulnerabilities in neighborhoods in the range of 0-5 Likert scale was calculated at 3.5208, which indicated a moderate increase in vulnerability. CONCLUSION: After the examination of actions taken in the post-earthquake reconstruction process, reduction of vulnerability evaluation was low. This result indicated the failure of operators to reduce the vulnerability on a scale of buildings, despite the large opportunities and resources. In addition to lessons from the present study, some suggestions were provided to improve the process of reconstruction after possible disasters in the future. Keywords: Borujerd; Earthquake; Qadghoon Neighborhood; Single-scale of Building; Vulnerability Assessment.


Author(s):  
Rajbir Singh Bhatti ◽  
Pradeep Kumar ◽  
Dinesh Kumar

Selection of service providers in the global supply chains of today has been recognized as having a very important effect on the competitiveness of the entire supply chain. It results in achieving high quality end results (products and/or services), at reasonable cost coupled with high customer satisfaction. This article discusses the use of Fuzzy Analytic Hierarchy Process (FAHP) to effectively manage the qualitative and quantitative decision factors which are involved in the selection of providers of 3PL services under Lead Logistics Provider (LLP) environments of today. Lead logistics providers (LLP) are increasingly being banked upon to integrate the best of 3PL service providers and allow for synchronized and optimized operations. In the asset free environments of today, many a times, the LLP uses the services of the 3PL and hence the issue of reliably choosing them assumes increasingly greater significance. The fuzzy-AHP has been adequately demonstrated in literature to be an effective tool which can be used to factor-in the fuzziness of data. Triangular Fuzzy Numbers (TFN) have been deployed to make over the linguistic comparisons of criteria, sub-criteria and the alternatives. The FAHP based model formulated in this chapter is applied to a case study in the Indian context using data from three leading LSPs with significant operating leverages in the province of Uttrakhand (India). The proposed model can provide the guidelines and directions for the decision makers to effectively select their global service providers in the present day competitive logistics markets.


2019 ◽  
Vol 76 (2) ◽  
pp. 520-526 ◽  
Author(s):  
Zongmao Chen ◽  
Li Zhou ◽  
Mei Yang ◽  
Fengjian Luo ◽  
Zhengyun Lou ◽  
...  

2013 ◽  
Vol 845 ◽  
pp. 574-578
Author(s):  
Ghazal Khodaei ◽  
Kuan Yew Wong ◽  
Manoj Kumar Tiwari

Nowadays, through greater awareness of protecting the environment and sustainable development in organizations, the importance of recycling and returning of used product has increased in supply chain management. Selecting an appropriate recycler is a critical issue in an organization and it needs to trade off between multiple criteria. Selection criteria are related to organizational circumstances and they may be qualitative or quantitative with complexity and uncertainty in their nature. The purpose of this study is to determine the sustainability criteria for recycler selection and to suggest a fuzzy AHP model for choosing the best third party recycler. A comprehensive methodology is illustrated using a case study of a fast food restaurant chain in Malaysia.


2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Wei Zhou ◽  
Xuexun Guo ◽  
Xiaofei Pei ◽  
Chengcai Zhang ◽  
Jun Yan ◽  
...  

This paper is aimed at the problem that the subjective drivability evaluation by experienced test drivers is limited in time efficiency and is of high cost and poor repeatability. In this article, an intelligent drivability objective evaluation tool (I-DOET) for passenger cars with dual-clutch transmission (DCT) is developed and verified by real vehicle testing. First, the signal denoising method and its key parameters, which are suitable for drivability evaluation, are selected based on analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). Besides, combined with the uncertainty characteristics of subjective judgment, a mathematical model of the objective drivability evaluation FARODE (fuzzy AHP-RS based on objective drivability evaluation) is proposed by using the fuzzy comprehensive assessment (FCA) method. The AHP and rough set (RS) method are used to calculate the subjective and objective weights of the drivability evaluation, respectively, and the proportion of subjective and objective weights is determined by the principle of minimum relative information entropy. The fuzzy matrix is built by membership function of the evaluation indexes. Finally, the static gearshift condition focused on by the subjective evaluation experts is taken as a case study. The predictability score is obtained by combining the drivability quantization lever vector, comprehensive weight, and fuzzy matrix. The experimental results indicate that the proposed method is applicable for objective drivability evaluation in passenger cars with DCT.


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