Application of Fuzzy Analytic Hierarchy Process for Evaluation of Ankara-Izmir High-Speed Train Project

Author(s):  
Ömer Faruk Efe

In Turkey, where important projects are materialized in transportation and logistics field, different alternatives are developed for transportation systems. Among these, high-speed train (HST) systems are the most popular transportation types. HST is preferred for many economic, technological, ecological, and social situations. In this chapter, it is made the evaluation of the Ankara-İzmir HST line. The fuzzy analytical hierarchy process (FAHP), which is one of the multi-criteria decision-making (MCDM) techniques, is used in the evaluation. Fuzzy logic contributes to decision making using linguistic variables in uncertain environment. This chapter takes into consideration in the realization of the HST project some criteria such as the places in the railway line, the population structure of the cities, accessibility, and accession to significant logistical points. As a result, “population structure” criterion among the evaluation criteria was found to have more importance.

2014 ◽  
Vol 577 ◽  
pp. 1061-1064
Author(s):  
Feng Zhang ◽  
Xin Di Wang ◽  
Fu Shen Sheng

This paper mainly introduces the use of judgment and the decision-making process of Analytic Hierarchy Process (AHP) to solve the choice of railway line. From the aspects of economy, technology, environment and society, we determine the factors that influence the selection of railway line. Through the application of Analytic Hierarchy Process (AHP), we analyzed the problems.


2019 ◽  
pp. 135481661988520
Author(s):  
Joseph Andria ◽  
Giacomo di Tollo ◽  
Raffaele Pesenti

In this article, we propose a method for ranking tourist destinations and evaluating their performances under a sustainability perspective: a fuzzy multiple criteria decision-making method is applied for determining sustainability performance values and ranking destinations accordingly. We select a set of sustainability evaluation criteria and use a fuzzy analytic hierarchy process to weight the selected criteria. We also optimize each evaluator’s membership function support by means of a fuzzy entropy maximization criteria. A case study is illustrated and results are compared with two data envelopment analysis–based models. The simplicity of the proposed approach along with the easy readability of the results allow its direct applicability for all involved stakeholders.


Author(s):  
V. Alpagut YAVUZ Ph.D.

Evaluation of artistry mostly depends on subjective perceptions of experts. As a decision-making process, it involves imprecision and fuzziness, and it is difficult to justify the process. Most art programs’ admission process involves evaluation of the candidates’ pencil drawings and selecting students among competing candidates. Using a justifiable process is essential for the administrators of art programs. Fuzzy Multi-Criteria Decision Making methods provide convincing results for real-world problems involving imprecise and fuzzy data. In this study, a modified version of the Fuzzy Analytic Hierarchy Process (FAHP) and TOPSIS methods are proposed for the art student placement process. Delphi technique is used for identifying the evaluation criteria and the FAHP method is used in obtaining the importance of criteria. Rankings of the candidate students are determined using the TOPSIS method. The resulting rank order of drawings is evaluated by the committee members for validating the performance of the proposed method.


2019 ◽  
Vol 2019 ◽  
pp. 1-23 ◽  
Author(s):  
Asim Farooq ◽  
Mowen Xie ◽  
Svetla Stoilova ◽  
Firoz Ahmad

Beijing has an enormous transportation challenge: to relieve the extreme congestion that has arisen, largely due to overpopulation. To meet this challenge, the city administration has decided to extend its territory; a new city will be planned and built. This new city, Xiongan, will reduce the burden on the capital. A new high-speed railway (HSR) line is designed to transport millions of people every day within less than an hour. This study applies the potential of Geographical Information Systems (GIS) and multicriteria methods, Analytic Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE II), to determine the best alternative of transportation for the new high-speed railway line between Beijing and Xiongan, comparing different ones. The methodology consists of two stages. In the first stage remote sensing datasets such as ASTER DEM and LANDSAT images and GIS software such as ERDAS IMAGINE and ArcGIS have been used to determine settlement distribution, station location, elevation model, slope percentage, vegetation percentage, and route alignment for a new high-speed railway line for better understanding of its spatial distribution pattern over the study area. The second phase of the study focusing on assessing the various alternatives of transportation has been determined, and three approaches to choosing the best alternative have been introduced. In the paper we examine criteria associated with travel and economic criteria: travel time, the number of train stops, public satisfaction with transport, the number of seats per day, connectivity, operating costs, profit, and the payback period. Six alternatives of transportation have been studied. The stops in Guan and stations in the metro’s rings have been investigated. In the second stage, the Analytic Hierarchy Process (AHP) and PROMETHEE II methods have been used to select the best alternative. The first approach uses only criteria related to the trip, as the criterion to choose the best alternative is the maximum of the net outranking flows by PROMETHEE II method; the second approach applies two independent criteria: the ratio of normalized operating costs and the normalized net outranking flows, and the ratio of the normalized payback period and the normalized net outranking flows; the third approach includes all defined criteria, and the criterion of choosing the best alternative is the maximum of net outranking flows as calculated by the PROMETHEE II method. The approaches have been analyzed with the purpose of comparing the results. The result indicates that it is expedient to have a station in Guan, which will increase the connection and connectivity among the cities while providing fast mobility options for a large number of inhabitants of Guan city. Furthermore, the result from Remote Sensing and GIS analysis demonstrates that the proposed high-speed railway line will be environmentally sustainable and is economically/socially feasible and that it will certainly attract current and future passengers because of their needs.


2019 ◽  
Vol 17 (3) ◽  
pp. 140-151
Author(s):  
V. V. Kazarina ◽  
V. A. Podverbniy

This article proposes a solution to the problem of choosing an option for routing of a railway line among two previously developed options. As initial data, materials were used for designing Elegest–Kyzyl–Kuragino railway line. On this section, two routing options are considered, which must be compared in order to choose the best one. The first option of the line (Eastern) takes place in a recess outside the village of Podgorny, which excludes the cost of demolition of residential buildings and relocation of residents, but provides for a large amount of earthwork. In the second option (Western), the line is laid through the village of Podgorny. With this development of the line, the volume of earthwork is much smaller, but it is necessary to take into account demolition of residential buildings, relocation of residents, as well as installation of noise barriers.The conclusion drawn by the designers of CJSC Vostsibtransproekt was reviewed and analyzed. During the study, the applied decision-making method required some refinement with regard to this problem and additional analysis. To select the best option, the analytic hierarchy process was used.


Author(s):  
Daniela Borissova ◽  
Zornitsa Dimitrova ◽  
Magdalena Garvanova ◽  
Ivan Garvanov ◽  
Petya Cvetkova ◽  
...  

The article discusses the decision-making problems associated with smart technologies and their usage. For the goal, a two-stage decision-making approach is proposed to survey if smart technologies are used excessively. The first part is focused on composing a survey based on a questionnaire. This investigation should cover a wide range of users of different ages. To make a suitable questionnaire to conduct such a survey a set of predefined questions is to be evaluated. The evaluation should be based on a well-defined structured technique able to motivate rational decision-making. The evaluation of the given number of questions is done by using of well-known technique that decomposes the decision problem into a hierarchy of more sub-problems (analytic hierarchy process) developed by Saaty. The questions are ranked with respect to four evaluation criteria. From the obtained ranking list of questions, the first three questions are selected to compose a questionnaire for quick conduction of survey for investigation of the impact of excessive use of smart technologies. Keywords: Composing of surveys, decision-making, AHP, smart technologies.


2016 ◽  
Vol 2016 ◽  
pp. 1-16
Author(s):  
David Gómez ◽  
José-Fernán Martínez ◽  
Juana Sendra ◽  
Gregorio Rubio

This paper is aimed at developing a decision making algorithm for traffic jams reduction that can be applied to Intelligent Transportation Systems. To do so, these algorithms must address two main challenges that arise in this context. On one hand, there are uncertainties in the data received from sensor networks produced by incomplete information or because the information loses some of the precision during information processing and display. On the other hand, there is the variability of the context in which these types of systems are operating. More specifically, Analytic Hierarchy Process (AHP) algorithm has been adapted to ITS, taking into account the mentioned challenges. After explaining the proposed decision making method, it is validated in a specific scenario: a smart traffic management system.


Processes ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 631
Author(s):  
Xumei Zhang ◽  
Zhizhao Li ◽  
Yan Wang ◽  
Wei Yan

Reverse logistics (RL) is closely related to remanufacturing and could have a profound impact on the remanufacturing industry. Different from sustainable development which is focused on economy, environment and society, circular economy (CE) puts forward more requirements on the circularity and resource efficiency of manufacturing industry. In order to select the best reverse logistics provider for remanufacturing, a multicriteria decision-making (MCDM) method considering the circular economy is proposed. In this article, a circularity dimension is included in the evaluation criteria. Then, analytic hierarchy process (AHP) is used to calculate the global weights of each criterion, which are used as the parameters in selecting RL providers. Finally, technique for order of preference by similarity to ideal solution (TOPSIS) is applied to rank reverse logistics providers with three different modes. A medium-sized engine manufacturer in China is taken as a case study to validate the applicability and effectiveness of the proposed framework.


Author(s):  
G. Marimuthu ◽  
G. Ramesh

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.


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