scholarly journals An Intelligent Framework for Analyzing the Feasible Modes of Transportation in Metropolitan Cities: A Hybrid Multicriteria Approach

2021 ◽  
Vol 2021 ◽  
pp. 1-22 ◽  
Author(s):  
Praveen Ranjan Srivastava ◽  
Zuopeng (Justin) Zhang ◽  
Prajwal Eachempati ◽  
Hongbo Lyu
Keyword(s):  
Analytical Hierarchy Process ◽  
Fuzzy Topsis ◽  
Transportation Industry ◽  
Fuzzy Analytical Hierarchy Process ◽  
Metropolitan Cities ◽  
Interpretive Ranking Process ◽  
Criteria Weights ◽  
Multicriteria Model ◽  
Hierarchy Process ◽  
Bus Transport

The paper aims to build a hybrid personalized multicriteria model in the Indian transportation industry to identify the most feasible transport mode suitable for commuters’ customized preferences. A hybrid multicriterion model, i.e., Fuzzy Analytical Hierarchy Process (AHP), was used to compute the criteria weights, which were subsequently analyzed by three approaches, namely, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Fuzzy TOPSIS, Evaluation Based on Distance from Average Solution (EDA), and Interpretive Ranking Process (IRP). The case of an Indian metropolitan city, Hyderabad, is taken to illustrate the proposed approach. The paper highlights the following transport modes: metropolitan train (unconventional mode) and conventional modes such as the car, public bus transport, and bikes for Hyderabad. Furthermore, sensitivity analysis is performed to identify the consistency in ranking with variation in weights, and the Ensemble Ranking and transportation experts validate the rankings.

A Hybrid Portfolio Selection Model

2020 ◽  
Vol 16 (3) ◽  
pp. 100-116
Author(s):  
Praveen Ranjan Srivastava ◽  
Prajwal Eachempati
Keyword(s):  
Analytical Hierarchy Process ◽  
Credit Rating ◽  
Fuzzy Topsis ◽  
Data Envelopment ◽  
Criteria Weights ◽  
Indian Stock Market ◽  
Hierarchy Process ◽  
Asset Managers ◽  
Portfolio Selection Model ◽  
Rating Information

It is generally observed that investors approach asset managers and financial analysts to recommend a customized portfolio based on certain personalized preferences. The article discusses a methodology to build a hybrid personalized multi-criteria model in the Indian stock market context suiting investor preferences. The analytical hierarchy process (AHP) was used to compute the criteria weights and data envelopment analysis (DEA) was adopted to screen the best portfolios which were subsequently ranked by a fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) and evaluation based on distance from average solution (EDA). The rankings of portfolios were validated for robustness with the actual rankings awarded by Credit Rating Information Services of India Limited (CRISIL) to demonstrate the efficacy of the hybrid model and it was found that Fuzzy TOPSIS and EDA rankings were consistent with the CRISIL rankings proposed by expert investors.

Research on Choice of Logistics Mode of B2C Enterprises with FAHP

2014 ◽  
Vol 672-674 ◽  
pp. 2211-2216
Author(s):  
Yang Lv ◽  
Hong Sheng Sun ◽  
Xi Fu Wang
Keyword(s):  
Economic Integration ◽  
Analytical Hierarchy Process ◽  
Economic Globalization ◽  
Fuzzy Analytical Hierarchy Process ◽  
Logistics Services ◽  
Logistics Mode ◽  
The Face ◽  
Hierarchy Process ◽  
The Relationship

Under the background of economic globalization and regional economic integration, B2C enterprises begin to focus on how to handle the relationship between logistics services and E-commerce services in the face of intense competition from other companies. This paper proposes a fuzzy analytical hierarchy process (FAHP) approach to select the logistics mode of B2C electronic commerce companies. In addition, a case study is presented to demonstrate how the approach can help in solving such problems in practice.

scholarly journals Respiratory Protection Program Compliance in Iranian Hospitals: Application of Fuzzy Analytical Hierarchy Process

2017 ◽  
Vol 66 (4) ◽  
pp. 173-182 ◽  
Author(s):  
Marzieh Honarbakhsh ◽  
Mehdi Jahangiri ◽  
Haleh Ghaem ◽  
Payam Farhadi
Keyword(s):  
Analytical Hierarchy Process ◽  
Weight Coefficient ◽  
Teaching Hospitals ◽  
Fars Province ◽  
Respiratory Protection ◽  
Fuzzy Analytical Hierarchy Process ◽  
Cross Sectional ◽  
Wide Range ◽  
Fit Testing ◽  
Hierarchy Process

In hospitals, health care workers (HCWs) are exposed to a wide range of respiratory hazards, which requires using respiratory protective equipment and implementing Respiratory Protection Programs (RPPs). The aim of this cross-sectional study was to investigate RPP implementation in 36 teaching hospitals located in the Fars province of Iran. A researcher-developed checklist, including nine components of the RPP standard, was completed by industrial hygienists in the study hospitals. The Fuzzy Analytical Hierarchy Process (FAHP) was used to determine the weight coefficient of RPP components. Finally, a Respiratory Protection Program Index (RPPI) was developed to calculate hospital compliance with RPP. The results showed that RPP were not fully implemented in the studied hospitals, and the highest and lowest RPPI scores were related to training and fit testing, respectively. To promote the implementation of RPP, significant efforts are required for all components, especially fit testing and worker evaluation.

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