scholarly journals Multi Criteria Evaluation Framework for Prioritizing Indian Railway Stations Using Modified Rough AHP-Mabac Method

2018 ◽  
Vol 19 (2) ◽  
pp. 113-127 ◽  
Author(s):  
Haresh Kumar Sharma ◽  
Jagannath Roy ◽  
Samarjit Kar ◽  
Olegas Prentkovskis
Keyword(s):  
Multiple Criteria Decision Making ◽  
Evaluation Process ◽  
Evaluation Framework ◽  
Analytic Hierarchy ◽  
Railway Stations ◽  
Validity Testing ◽  
Multi Criteria Evaluation ◽  
Criteria Weights ◽  
Indian Railway ◽  
Hierarchy Process

Abstract This study proposes a hybrid multiple criteria decision making (MCDM) methodology for evaluating the performance of the Indian railway stations (IRS). Since the customers are heterogeneous and their requirements are often imprecise, the evaluation process is a critical step for prioritizing the IRS. To improve the existing approaches, an efficient evaluation technique has been proposed by integrating rough numbers, analytic hierarchy process (AHP) and multi-attribute border approximation area comparison (MABAC) methods in rough environment. The relative criteria weights based on their preferences given by experts is determined by rough AHP whereas evaluation of the alternatives based on these criteria are done by the modified rough MABAC method. A case study of prioritizing different railway stations in India is provided to demonstrate the efficiency and applicability of the proposed method. Among different criteria “proactively” is observed to be the most important criteria in our analysis, followed by ‘Railfanning’ and ‘DMO’ is found to be the best among the forty IRS in this study. Finally, a comparative analysis and validity testing of the proposed method are elaborated and the methodology provides a standard to select IRS on the basis of different criteria.

scholarly journals Development of a Multi-Criteria Evaluation Framework and Its Application for Earthquake Shelter Selection

2020 ◽  
Vol 20 (2) ◽  
pp. 197-205
Author(s):  
Nahyeong Kim ◽  
Jeongwon Joo ◽  
Minyeong Kim ◽  
Kijung Park
Keyword(s):  
Ad Hoc ◽  
Relevant Literature ◽  
Evaluation Process ◽  
Evaluation Framework ◽  
Analytic Hierarchy ◽  
Multi Criteria Evaluation ◽  
Shelter Selection ◽  
Hierarchy Process ◽  
The City

The importance of designated earthquake shelters has been emphasized in South Korea. However, the lack of an appropriate evaluation process for shelter candidates often leads to an ad-hoc selection of earthquake shelters, resulting in inefficient disaster management. To address this issue, this study proposes an evaluation framework based on multi-criteria decision-making to measure the suitability of earthquake shelters quantitatively. First, available indicators for shelter evaluation are extracted from the relevant literature, which are then streamlined and grouped using text mining to represent evaluation areas. Next, the selected indicators are standardized to the same value scale, and the Analytic Hierarchy Process (AHP) is used to derive the relative importance of each evaluation area to compute the weighted sum total score of each candidate. The developed evaluation framework is applied to a case study of earthquake shelter selection in the city of Songdo-dong. The results show that there are additional shelter candidates suitable for earthquake evacuation in addition to the current designated shelters. This study can serve as a basis for objective shelter selection that would improve the identification and utility of designated shelters.

Stochastic KEMIRA-M Approach with Consistent Weightings

2019 ◽  
Vol 18 (03) ◽  
pp. 793-831 ◽  
Author(s):  
Pelin Toktaş ◽  
Gülin Feryal Can
Keyword(s):  
Stochastic Process ◽  
Universal Design ◽  
Evaluation Process ◽  
Decision Makers ◽  
Shopping Malls ◽  
Analytic Hierarchy ◽  
Discrete Uniform Distribution ◽  
Criteria Weights ◽  
Discrete Uniform ◽  
Hierarchy Process

This study proposes an advanced Modified KEmeny Median Indicator Rank Accordance (KEMIRA-M) approach based on stochastic evaluation process considering consistent weights to improve effective usage of KEMIRA-M. In the proposed approach, tasks related to the decision issue are performed by decision makers to ensure the understanding sufficiency of alternatives in terms of criteria more clearly. The weighting procedure of Analytic Hierarchy Process (AHP) is implemented in a stochastic manner benefited from discrete uniform distribution to provide obtaining consistent criteria weights considering median priority components. Therefore, different trials including different number of replications that shows the number of decision makers are performed and the most consistent weightings are determined for each trial in the stochastic process. In this way, the dependency to the limited numbers of decision makers and to determine criteria weights in a heuristic manner in KEMIRA-M is prevented. Additionally, the effect of the number of decision makers on criteria weightings and alternatives’ ranking process is shown. To obtain the most consistent weighting results, this stochastic process is utilized until acquiring approximate consistency ratios. The proposed stochastic KEMIRA-M approach is utilized to rank nine shopping malls (SMs) in Ankara in terms of technical criteria (TC) and universal design criteria (UDC). It was seen from the ranking results that the first SM (SM1) is the best one.

scholarly journals Assessing the Contribution of Urban Freight Terminals in Last Mile Operations

2016 ◽  
Vol 17 (3) ◽  
pp. 231-241 ◽  
Author(s):  
Eftihia Nathanail ◽  
Michael Gogas ◽  
Giannis Adamos
Keyword(s):  
Performance Indicator ◽  
Evaluation Framework ◽  
Analytic Hierarchy ◽  
Urban Freight ◽  
Multi Criteria Evaluation ◽  
Last Mile ◽  
Multi Stakeholder ◽  
Hierarchy Process ◽  
Freight Terminals

Abstract This paper introduces a multi-stakeholder multi-criteria evaluation framework, which can be used for the assessment of the last mile distribution performance of urban freight terminals. To this end, a comparative analysis is conducted addressing two Greek urban intermodal freight terminals located at the port of Thessaloniki (ThPA) and Kuehne+Nagel (K+N)’s premises. The assessment of the terminals’ performance relies on a tailored multi-criteria Key Performance Indicator (KPI)-based evaluation framework, whereas the selection and significance of the incorporated criteria and KPIs is predetermined by the relevant responsible stakeholders, who imposed their viewpoint through an analytic hierarchy process. Results showed that ThPA was ranked first according to its performance pertaining to the role of an intermodal interchange; still, K+N’s performance index was only 8.5% lower than ThPA’s, while in specific KPIs it seems that it performs in a better way.

scholarly journals Evaluation of Influenza Intervention Strategies in Turkey with Fuzzy AHP-VIKOR

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Funda Samanlioglu
Keyword(s):  
Fuzzy Ahp ◽  
Intervention Strategy ◽  
Multiple Criteria Decision Making ◽  
Intervention Strategies ◽  
Analytic Hierarchy ◽  
Medicine Physician ◽  
Criteria Weights ◽  
Hierarchy Process ◽  
Internal Medicine Physician

In this study, a fuzzy AHP-VIKOR method is presented to help decision makers (DMs), especially physicians, evaluate and rank intervention strategies for influenza. Selecting the best intervention strategy is a sophisticated multiple criteria decision-making (MCDM) problem with potentially competing criteria. Two fuzzy MCDM methods, fuzzy analytic hierarchy process (F-AHP) and fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (F-VIKOR), are integrated to evaluate and rank influenza intervention strategies. In fuzzy AHP-VIKOR, F-AHP is used to determine the fuzzy criteria weights and F-VIKOR is implemented to rank the strategies with respect to the presented criteria. A case study is given where a professor of infectious diseases and clinical microbiology, an internal medicine physician, an ENT physician, a family physician, and a cardiologist in Turkey act as DMs in the process.

Social Vulnerability Evaluation for Ankang City, China, using Fuzzy Analytic Hierarchy Process Method

2018 ◽  
Vol 15 (3) ◽  
Author(s):  
Xuesong Guo ◽  
Naim Kapucu
Keyword(s):  
Analytic Hierarchy Process ◽  
Test Performance ◽  
Social Vulnerability ◽  
Multiple Criteria Decision Making ◽  
Evaluation Process ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Process Method

Abstract A Fuzzy Analytic Hierarchy Process based model was proposed and evaluated for social vulnerability assessment using a case study. The evaluation process is formulated as a multiple criteria decision making problem under uncertainty, where the subjective and imprecise judgements of multiple decision makers are represented as fuzzy numbers. Based on factors extracted from literature review, the researchers determined the factor weights and calculated social vulnerability scores for each county (district) using the Fuzzy Analytic Hierarchy Process method. The researchers demonstrated how the social vulnerability scores of counties (districts) and factor weights change under different uncertainties via sensitivity analysis. The results were comparted with data produced by conventional Analytic Hierarchy Process to test performance of the proposed method. The results show social vulnerability of each county (district) in Ankang City, implying the Urban-Rural Gap exist in current Chinese disaster management system. Most important sub-factors contributing to social vulnerability were also highlighted according to the results on factor weights.

scholarly journals ETHICAL DECISION MAKING IN ACTION: EVALUATING HOSPITAL CARE ATTENDANCE APPROACHES

2018 ◽  
Vol 10 (3) ◽  
Author(s):  
Julie E. Forbes ◽  
Abigail M. Hebb ◽  
Enrique Mu
Keyword(s):  
Decision Making ◽  
Ethical Decision ◽  
Ethical Decision Making ◽  
Cost Effective ◽  
Evaluation Framework ◽  
Analytic Hierarchy ◽  
Stakeholder Perspectives ◽  
Expert Opinions ◽  
Criteria Weights ◽  
Hierarchy Process

Patient safety is a priority in the hospital.  Hospitals are always considering cost effective ways to keep patients safe and free from harm.  Every year an average of 340,000 hospitalized patients are injured due to falls. Providing the best possible care attendance to prevent these incidents is very important.  It is demonstrated here that, beyond medical and financial considerations, the proper selection of care attendance is an ethical decision. This decision requires considering the needs of, as well as getting input from, all the parties involved (hospitals, nurses, and patients). Unfortunately, until now, the care attendance discussion has mainly considered the hospital’s perspective and rarely that of the patient. Using a stakeholder theoretical approach taken from ethical decision making literature and the Analytic Hierarchy Process which allows the integration of multiple stakeholder perspectives and the inclusion of intangible variables (such as patient’s perceived value), we developed an evaluation framework to enable the prioritization and allocation of resources to the different care attendance approaches: care attendant (CA), continuous video monitoring (CVM), normal rounding (NR) and family visitor sitters (FVS). The decision criteria have been identified from the extant medical evidence-based literature, and expert opinions from three decision-makers (each representing a particular stakeholder’s perspective) were used to assess the criteria weights and rate the alternatives.

scholarly journals Evaluating Usability of Academic Websites through a Fuzzy Analytical Hierarchical Process

2021 ◽  
Vol 13 (4) ◽  
pp. 2040
Author(s):  
AbdulHafeez Muhammad ◽  
Ansar Siddique ◽  
Quadri Noorulhasan Naveed ◽  
Uzma Khaliq ◽  
Ali M. Aseere ◽  
...  
Keyword(s):  
Evaluation Framework ◽  
Analytic Hierarchy ◽  
Academic Tasks ◽  
Frequency Of Use ◽  
Wide Range ◽  
Different Dimensions ◽  
Academic Websites ◽  
Academic Information ◽  
Hierarchy Process ◽  
Usability Criteria

In the higher education sector, there is a growing trend to offer academic information to users through websites. Contemporarily, the users (i.e., students/teachers, parents, and administrative staff) greatly rely on these websites to perform various academic tasks, including admission, access to learning management systems (LMS), and links to other relevant resources. These users vary from each other in terms of their technological competence, objectives, and frequency of use. Therefore, academic websites should be designed considering different dimensions, so that everybody can be accommodated. Knowing the different dimensions with respect to the usability of academic websites is a multi-criteria decision-making (MCDM) problem. The fuzzy analytic hierarchy process (FAHP) approach has been considered to be a significant method to deal with the uncertainty that is involved in subjective judgment. Although a wide range of usability factors for academic websites have already been identified, most of them are based on the judgment of experts who have never used these websites. This study identified important factors through a detailed literature review, classified them, and prioritized the most critical among them through the FAHP methodology, involving relevant users to propose a usability evaluation framework for academic websites. To validate the proposed framework, five websites of renowned higher educational institutes (HEIs) were evaluated and ranked according to the usability criteria. As the proposed framework was created methodically, the authors believe that it would be helpful for detecting real usability issues that currently exist in academic websites.

scholarly journals Identifying and Prioritizing Educational Needs of Female Adolescents in Relation to Healthy Eating Based on Analytic Hierarchy Process Model

2016 ◽  
Vol 9 (2) ◽  
pp. 223 ◽  
Author(s):  
Saeed Mazloomi Mahmoodabad ◽  
Akram Mehrabbeyk ◽  
Hassan Mozaffari-Khosravi ◽  
Hossein Fallahzadeh
Keyword(s):  
Fast Food ◽  
Process Model ◽  
Eating Habits ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Female Adolescents ◽  
Analytic Hierarchy ◽  
Eating Breakfast ◽  
Eating Fast ◽  
Hierarchy Process

<p>In order to better plan health based interventions, educators and health promoters need to make decisions in this regard. In the meantime, it should be noted that, multiple criteria decision making methods with theoretical roots and accuracy of forecasting results are less considered.</p><p>The current study is a descriptive research carried out on 15 experts working in Yazd Health Centers using purposeful sampling. In order to identify wrong eating habits of students, Delphi method is used. In the next step, these habits are compared, one by one, and scored with Analytical Hierarchy Process (AHP) Model. In the end, data are analyzed using Expert Choice 11 software.</p><p>Seven major wrong eating habits of female adolescents are identified: junk food consumption, drinking soda and sweet drinks, eating fast food, deleting main meals, improper diets, low intake of vegetables, and not eating breakfast. Among these, low intake of vegetables, eating fast food, and not eating breakfast, with weight rate of 32.4%, 19.4% and 19.3%, are specified as the first three priorities of education.</p><p>In various fields of education and health promotion, including prioritizing training needs, employing techniques with potentials of assessing multiple criteria at the same time can be highly efficient. </p>

scholarly journals TEACHING PERFORMANCE EVALUATION FRAMEWORK: AN ANALYTIC HIERARCHY PROCESS APPROACH

2017 ◽  
Vol 1 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Azizul Azhar Ramli ◽  
Shahreen Kasim ◽  
Mohd. Farhan Md. Fuzzee ◽  
Hairulnizam Mahdin
Keyword(s):  
Performance Evaluation ◽  
Analytic Hierarchy Process ◽  
Process Approach ◽  
Evaluation Framework ◽  
Teaching Performance ◽  
Analytic Hierarchy ◽  
Hierarchy Process

scholarly journals A COMBINED FUZZY MCDM APPROACH FOR IDENTIFYING THE SUITABLE LANDS FOR URBAN DEVELOPMENT: AN EXAMPLE FROM BANDAR ABBAS, IRAN

2014 ◽  
pp. 11-27 ◽  
Author(s):  
Mohsen Dadras ◽  
Helmi Zulhaidi Mohd Shafri ◽  
Noordin Ahmad ◽  
Biswajeet Pradhan ◽  
Sahabeh Safarpour
Keyword(s):  
Urban Development ◽  
Iraq War ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Analytic Hierarchy ◽  
The Past ◽  
Criteria Weights ◽  
Bandar Abbas ◽  
Hierarchy Process ◽  
The City

This study aims at identifying the suitable lands for urban development in Bandar Abbas city based on its real world use regarding specific criteria and sub-criteria. The city of Bandar Abbas is considered as the most important commercial and economic city of Iran. It is also considered as one of the major cities of Iran which has played a pivotal role in the country's development and progress in recent years especially after the end of Iran-Iraq war owing to its embracing the country's main commercial ports. This process has caused the immigration rate into the city to rise significantly over the past 20 years. Thus, the development of the city is meanwhile considered as a high priority. Bandar Abbas city does not have a rich capacity for growth and development due to its special geographical situation being located in coastal border. Among the limitations placed in the city's development way, natural limitations (heights and sea shore) in the northern and southern parts of the city and structural limitations (military centers) in the east and west sides of the city may be referred. Therefore, identifying the suitable lands for urban development within Bandar Abbas city limits is becoming an essential priority. Therefore, different quantitative and qualitative criteria have been studied in order to select and identify these lands. The structures of qualitative criteria for most parts involve ambiguities and vagueness. This leads us to use Fuzzy logic in this study as a natural method for determining the solutions for problems of Multi-criteria decision making (MCDM). In the current research, a combination of MCDM methods has been presented for analysis. To assignee weights of the criteria Fuzzy AHP (analytic hierarchy process) is used for land selection and Fuzzy TOPSIS (method for order priority by similarity to ideal solution) is utilized to choose the alternative that is the most appropriate through these criteria weights. The sensitivity analysis of the results is included in the research.

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