Creating a composite road safety performance index by a hierarchical fuzzy TOPSIS approach

The review of the national and international literature dealing with the assessment of the road safety level has shown great efforts of the authors who aimed to define the methodology for calculating the composite road safety index on a territory (region, state, etc.). The procedure for obtaining a road safety composite index of an area has been largely harmonized. The question that has not been fully resolved yet concerns the selection of indicators. There is a wide range of road safety indicators used to show the road safety situation in a territory. The road safety performance index (RSPI) obtained on the basis of a larger number of safety performance indicators (SPIs) enables decision makers to more precisely define earlier goal- oriented actions. Recording a broader comprehensive set of SPIs helps identify the strengths and weaknesses of an area’s road safety system. Therefore, there is a need for calculating a road safety performance index with a limited number of indicators (RSPIlnn) which will provide a comparison of sufficient quality, of as many countries as possible. The application of the Data Envelopment Analysis (DEA) method and correlation analysis has helped to check if the RSPIlnn is likely to be of sufficient quality. A strong correlation between the RSPIlnn and the RSPI based on all indicators has been identified using the proposed methodology. This will help achieve the standardization of indicators including data collection procedures and selection of the key list of indicators that need to be monitored.

Download Full-text

Corporate sustainability assessment through fuzzy TOPSIS

Proceedings of the 6th International Workshop on Simulation for Energy, Sustainable Development & Environment (SESDE 2018) ◽

10.46354/i3m.2018.sesde.008 ◽

2018 ◽

Author(s):

Eleonora Bottani ◽

Marta Rinaldi ◽

Federico Solari

Keyword(s):

Sustainability Assessment ◽

Corporate Sustainability ◽

Reference Value ◽

Fuzzy Topsis ◽

Analysis And Evaluation ◽

Sustainability Performance ◽

Order Preference ◽

Pros And Cons ◽

Topsis Approach ◽

Corporate Level

"The aim of this paper is to propose a decisionmaking methodology that enables the analysis and evaluation of sustainability at the corporate level. The proposed methodology grounds on two tools, namely the technique for order preference by similarity to ideal solution (TOPSIS) approach and fuzzy logic. The integration of these tools offers an effective way to deal with two typical issues of sustainability assessment, i.e.: 1) the fact that the company’s performance should be frequently evaluated against qualitative key performance indicators; and 2) the fact that to be meaningful, the company’s sustainability performance needs to be compared to a reference value, e.g. a threshold or benchmark, to evaluating how the company is distant from a target. The proposed approach has been applied to a real firm, operating in the food machinery industry, for testing purpose. The main pros and cons of the approach are described."

Download Full-text

Combining Land Use, Traffic and Demographic Data for Modelling Road Safety Performance in Urban Areas

Data Analytics: Paving the Way to Sustainable Urban Mobility - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-030-02305-8_9 ◽

2018 ◽

pp. 71-78

Author(s):

Efthymis Papadopoulos ◽

Ioannis Politis

Keyword(s):

Land Use ◽

Urban Areas ◽

Road Safety ◽

Demographic Data ◽

Safety Performance

Download Full-text

Recommendation of Diet to Anaemia Patient on the Basis of Nutrients Using AHP and Fuzzy TOPSIS Approach

International Journal of Intelligent Engineering and Systems ◽

10.22266/ijies2017.0831.11 ◽

2017 ◽

Vol 10 (4) ◽

pp. 100-108 ◽

Cited By ~ 5

Author(s):

Mahendra Singh ◽

◽

Sanjay Dubey ◽

Keyword(s):

Fuzzy Topsis ◽

Topsis Approach

Download Full-text

Prioritizing the Solutions to Reverse Logistics Barriers for the E-Commerce Industry in Pakistan Based on a Fuzzy AHP-TOPSIS Approach

Sustainability ◽

10.3390/su132212743 ◽

2021 ◽

Vol 13 (22) ◽

pp. 12743

Author(s):

Muhammad Hamza Naseem ◽

Jiaqi Yang ◽

Ziquan Xiang

Keyword(s):

Supply Chain ◽

Literature Review ◽

Reverse Logistics ◽

Fuzzy Ahp ◽

Pairwise Comparison ◽

Fuzzy Topsis ◽

Extensive Literature ◽

Forward Logistics ◽

Reverse Logistics Management ◽

Topsis Approach

In the past few years, reverse logistics practices have successfully managed to gain more attention in various industries and among supply chain researchers and experts. This is due to globalization, environmental concerns, and customer requirements, which have asserted industries’ concerns for reverse logistics management. In E-commerce, the process of reverse logistics originates with parcel refusal, undelivered goods, and exchanges. In developing countries like Pakistan, the adoption and implications of reverse logistics are still at their early stages. E-commerce companies give more attention to forward logistics and ignore logistics’ upstream flow in the supply chain. This study aims to identify, as well as list, the barriers and obtain the solutions to those identified barriers, and rank the barriers and their solutions so that logisticians and experts can solve them as per their priority. From the extensive literature review and experts’ opinions, we have found 14 barriers in implementing effective reverse logistics. Eight solutions to those barriers were also found from the literature review. This paper proposed the methodology based on fuzzy analytical hierarchy process (fuzzy-AHP), which used to get the weights of each barrier by using pairwise comparison, and fuzzy technique for order performance by similarity to ideal solution (fuzzy-TOPSIS) method, which was adopted for the final ranking of solutions to reverse logistics. The case of the Pakistan E-commerce industry is used in the proposed method.

Download Full-text