scholarly journals Sustainable Urban Transport Development by Applying a Fuzzy-AHP Model: A Case Study from Mersin, Turkey

Urban Science ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 55 ◽  
Author(s):  
Sarbast Moslem ◽  
Szabolcs Duleba
Keyword(s):  
Citizen Participation ◽  
Fuzzy Ahp ◽  
Urban Transport ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
The Public ◽  
Final Development ◽  
Criteria Weights ◽  
Suitable Framework ◽  
Bus System

Sustainable development decisions generally require citizen participation in the decision process to avoid public resistance and objections in the long term. Because of the involvement of non-experts, the uncertainty of the decision is increased, and this must be considered in the decision-making process. This paper aims to introduce a sustainable urban transport development problem in which citizens are involved to allow them to express their preferences for improving certain elements of the public bus system. To mitigate the uncertainty of the non-expert evaluations, a fuzzy-analytic hierarchy process (AHP) model has been created and applied. Since the objective of the research is to provide a suitable framework for transport development tenders, only the criteria weights have to be determined; thus, an alternative level has not been applied. The model has been tested on the urban bus transport system of a large Turkish city: Mersin. Based on the application, citizen preference weights could be associated with certain elements of the supply quality; thus, government development source allocation decisions could be supported. The fuzzy-AHP model ensures that the final development implications will meet public demand for bus system improvement in the city.

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.

Application of Fuzzy AHP to the Comparison and Selection of Cement Concrete Pavement Overlaying Schemes

2011 ◽  
Vol 243-249 ◽  
pp. 4302-4306
Author(s):  
Ji Feng Liang ◽  
Xie Dong Zhang ◽  
Lei Wu
Keyword(s):  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Comprehensive Analysis ◽  
Concrete Pavement ◽  
Cement Concrete ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
Cement Concrete Pavement ◽  
Hierarchy Process ◽  
Selection Of

Based on a comprehensive analysis of the influencing factors and special features of cement concrete pavement overlaying technology, a fuzzy analytic hierarchy process (AHP) model is constructed for the comparison and selection of overlaying schemes. At first, the numerical weight for each criterion of the hierarchy is derived and tested. Then the feature matrices of all the schemes are constructed based on experts’ evaluation. The optimal scheme is chosen according to the numerical priorities of each scheme yielded by fuzzy calculation.

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.

How upright a public bus transport system is desirable for sustainable mobility?

2020 ◽  
pp. 47-61
Author(s):  
Pragati Jain ◽  
Prerna Jain ◽  
Roopesh Kaushik
Keyword(s):  
Factor Analysis ◽  
Transport System ◽  
Public Transport ◽  
Positive Association ◽  
Urban Transport ◽  
Sustainable Mobility ◽  
The Public ◽  
Public Transport System ◽  
Bus Transport ◽  
Bus System

Sustainable mobility demands the inclusion of environment, social and economic sustainabil-ity. Public transport especially the bus system can be explored to fulfill these three sub goals. Globally the uses of personal vehicles have noticed an exponential growth owing to high per capita income and not up to the mark standards of public transport system. The emphasis on the requirement to probe significant questions while designing urban transport policies moti-vates this study to investigate what an ideal public bus system should be like, in the eyes of, those who either do not use or have shifted from public to private mode of travel. A survey on 1554 respondents is conducted to identify the various attributes that the public desire for, of a public bus system. These 12 items or attributes are clubbed into four categories using factor analysis. The logit regression run on the binary outcome "Shift" variable of opting or not opt-ing for public bus system with the four predicator variables (institutional, personnel, personal and qualitative) obtained using factor analysis shows positive association of improvement in these predicators to the outcome of opting for public transport.

scholarly journals An Extended GRA Method Integrated with Fuzzy AHP to Construct a Multidimensional Index for Ranking Overall Energy Sustainability Performances

2020 ◽  
Vol 12 (4) ◽  
pp. 1602 ◽  
Author(s):  
Koray Altintas ◽  
Ozalp Vayvay ◽  
Sinan Apak ◽  
Emine Cobanoglu
Keyword(s):  
Fuzzy Ahp ◽  
Composite Index ◽  
Multicriteria Decision Making ◽  
Complex Nature ◽  
Technological Advancement ◽  
Energy Sustainability ◽  
Analytic Hierarchy ◽  
Related Services ◽  
Criteria Weights ◽  
National Governments

In an age of rapid technological advancement, the increasing need for energy and its related services to satisfy economic and social development has become a critical concern of national governments worldwide. This has triggered researchers to work on metrics for tracking and tracing energy sustainability in order to provide monitoring mechanisms for policy makers. In this regard, multicriteria decision-making (MCDM) methods are becoming more popular to deal with the multidimensional and complex nature of sustainability. We have proposed an extended and revised version of the grey relational analysis (GRA) method, which is integrated with the fuzzy analytic hierarchy process (AHP), to develop a new composite index for comparing the overall energy sustainability performances of 35 OECD member countries. Our case study revealed the performances of selected countries by providing their strengths and weaknesses based on determined criteria as well as the level of change in performances with different criteria weights. The proposed GRA model can be used in different applications of sustainability due to its flexible nature, which provides benefits from goal-oriented extensions in order to adequately capture different aspects of sustainability.

scholarly journals Application of a New Hybrid Fuzzy AHP Model to the Location Choice

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Chien-Chang Chou ◽  
Ker-Wei Yu
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Location Choice ◽  
Fuzzy Ahp ◽  
Multiple Criteria ◽  
Distribution Centers ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
International Distribution ◽  
Hierarchy Process

The purpose of this paper is to propose a new hybrid fuzzy Analytic Hierarchy Process (AHP) algorithm to deal with the decision-making problems in an uncertain and multiple-criteria environment. In this study, the proposed hybrid fuzzy AHP model is applied to the location choices of international distribution centers in international ports from the view of multiple-nation corporations. The results show that the proposed new hybrid fuzzy AHP model is an appropriate tool to solve the decision-making problems in an uncertain and multiple-criteria environment.

A Fuzzy AHP Model for 3PL Selection in Lead Logistics Provider Scenarios

2010 ◽  
pp. 261-277 ◽  
Author(s):  
Rajbir Singh Bhatti ◽  
Pradeep Kumar ◽  
Dinesh Kumar
Keyword(s):  
Service Providers ◽  
Fuzzy Ahp ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
Decision Factors ◽  
Proposed Model ◽  
Using Data ◽  
Hierarchy Process ◽  
Selection Of

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.

Evaluating the key performance indicators for supply chain information system implementation using IPA model

2018 ◽  
Vol 25 (6) ◽  
pp. 1844-1863 ◽  
Author(s):  
Kunal Ganguly ◽  
Siddharth Shankar Rai
Keyword(s):  
Information System ◽  
Supply Chain ◽  
Performance Indicators ◽  
Fuzzy Ahp ◽  
Key Performance Indicators ◽  
Extensive Literature ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Ahp Model ◽  
Novel Approach

Purpose To enhance the transparency of the supply chain and ensure proper dissemination of information among the supply chain members in a timely manner, more and more companies are implementing supply chain information system (SCIS). Often the challenge among the organizations is how to go for a proper SCIS implementation and to identify the key performance indicators (KPIs) to evaluate the SCIS. The purpose of this paper is to provide a framework to evaluate the KPIs for SCIS of SCISs implementation from user’s perspectives. Design/methodology/approach In this paper, 16 KPIs were identified based on extensive literature survey. A fuzzy analytic hierarchy process (AHP) model is constructed to measure the users’ perceived importance and satisfaction for the KPIs. Subsequently, based on these two measurements, an importance-performance analysis (IPA) model along with a customer satisfaction attitude (SA) index is developed to categorize and prioritize the KPIs. As an empirical study, SCIS users across five industries belonging to different sectors were investigated to validate the model. Findings An IPA model along with a customer SA index is developed based on a fuzzy AHP model to evaluate the KPIs and provide the priorities of their improvement. Based on this result, some management implications and suggestions are proposed. Research limitations/implications The study was limited to five organizations. More representative samples which can be sector specific can ensure better confirmation of the empirical results. Originality/value The KPIs identified in the research indicate the nature and dynamics of a complex SCIS implementation. It can serve as a checklist of areas that require attention when implementing a SCIS. The KPIs are presented through grouping in a systemic way. The development of the SAs in IPA model using fuzzy AHP is a novel approach.

scholarly journals UTILIZATION OF F-AHP METHOD IN BRI FOR GIVING SELECTION OF KUR

Telematika ◽  
2017 ◽  
Vol 13 (2) ◽  
pp. 80
Author(s):  
Meiyanto Eko Sulisyo ◽  
Ristu Saptono
Keyword(s):  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Multiple Criteria Decision Making ◽  
Pairwise Comparison ◽  
Fuzzy Analytic Hierarchy Process ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Pairwise Comparison Matrix ◽  
The Public ◽  
Hierarchy Process

Bank Rakyat Indonesia (BRI) is a business entity which collects funds from the public in the form of deposits and distribute to the public in the form of the People 's Business Credit (KUR) or loan. Along with over time after KUR realized, there is no doubt BRI will be faced with the problems of risk, namely the risk of KUR problematic. There are several methods that can be used in making a decision to be able to solve the problem include the Analytical Hierarchy Process (AHP).AHP is used when the decision involves many factors, where the decision had difficulty in making the weight of each factor. Despite this problem the use of AHP in Multiple Criteria Decision Making (MCDM) approach has less to cope with uncertainties taken by decision-makers, when it should give a definite value in the pairwise comparison matrix therefore, to overcome the weaknesses of the existing AHP then developed a method namely Fuzzy Analytic Hierarchy Process (F-AHP). F-AHP method is the combination between fuzzy AHP approach. The results of research conducted using the Fuzzy Analytic Hierarchy Process (F-AHP) has a 100 % accuracy this is evidenced by the results obtained together with the calculation of banking. Calculation banking mention of 20 customers, acquired 14 accepted and rejected 6.

Key Factors Influencing the Building of Arctic Shipping Routes

2016 ◽  
Vol 69 (6) ◽  
pp. 1261-1277 ◽  
Author(s):  
Wen-Hwa Shyu ◽  
Ji-Feng Ding
Keyword(s):  
Western Europe ◽  
Fuzzy Ahp ◽  
The Arctic ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
Empirical Survey ◽  
Factors Influencing ◽  
Arctic Shipping ◽  
Hierarchy Process

Arctic shipping routes attract more and more attention because of the increasing possibility to build commercial shipping routes which connect East Asia and Western Europe. To build profitable commercial shipping routes, shipping companies should study many issues about the Arctic carefully since it is a new and unfamiliar frontier. To find out key factors influencing the building of Arctic shipping routes, the authors applied the fuzzy Analytic Hierarchy Process (AHP) model in this study. Based on the AHP experts’ questionnaires, we applied the fuzzy AHP model to analyse the opinions of respondents. This article presents the results of an empirical survey conducted among shipping companies and academic researchers with ship captain experience to explore their attitudes toward the building of Arctic shipping routes. The findings showed that: ‘Safety and risk’ is the most important aspect affecting the building of Arctic shipping routes and in order of relative importance, the top six critical assessment factors are ‘navigation safety and risk analysis,’ ‘governance and cooperation,’ ‘navigation information,’ ‘cargo sources,’ ‘cost,’ and ‘navigator ability,’ respectively.

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