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.

scholarly journals Use of the PVM Method Computed in Vector Space of Increments in Decision Aiding Related to Urban Development

Symmetry ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 446 ◽  
Author(s):  
Marek Kannchen ◽  
Paweł Ziemba ◽  
Mariusz Borawski
Keyword(s):  
Urban Development ◽  
Vector Space ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Preference Ranking ◽  
Analytic Hierarchy ◽  
Vector Method ◽  
Decision Aiding ◽  
Topsis Technique ◽  
Hierarchy Process

The paper presents a possibility to use a new PVM-VSI (Preference Vector Method computed in Vector Space of Increments) method in making decisions that demand that different variants should be considered, while being evaluated with respect to different criteria. Hence, knowledge about them is a must, and that knowledge is not necessarily available quantitatively, whereas the very evaluation should be relatively objective; that is, independent from the decision maker’s preferences or opinions. The paper presents the use of the PVM-VSI method in support decisions related to urban development—to rank projects submitted for implementation within the framework of a citizen budget. The ranking will make it feasible to determine which of the submitted projects will have the dominant influence on the town’s sustainable development, and, subsequently, which ones should be presented to citizens as the better ones out of the projects submitted, and to compare the method mentioned with methods used in similar decision-making problems in the past: Fuzzy AHP (Analytic Hierarchy Process), Fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), and Fuzzy PROMETHEE (Preference Ranking Organization METHod for Enrichment of Evaluation).

scholarly journals Assessing the Human Resource in Science and Technology for Asian Countries: Application of Fuzzy AHP and Fuzzy TOPSIS

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 251 ◽  
Author(s):  
Ying-Chyi Chou ◽  
Hsin-Yi Yen ◽  
Van Thac Dang ◽  
Chia-Chi Sun
Keyword(s):  
Human Resource ◽  
Fuzzy Ahp ◽  
Science And Technology ◽  
Fuzzy Topsis ◽  
Southeast Asian ◽  
Asian Countries ◽  
Analytic Hierarchy ◽  
Order Preference ◽  
Hierarchy Process ◽  
Southeast Asian Countries

The fuzzy analytic hierarchy process (AHP) and fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are extremely beneficial when a decision-making process is complex. The reason is that AHP and TOPSIS can prioritize multiple-choice criteria into a hierarchy by assessing the relative importance of criteria and can thus generate an overall ranking of the alternatives. This study uses fuzzy AHP and fuzzy TOPSIS to evaluate the human resource in science and technology (HRST) performance of Southeast Asian countries. The fuzzy TOPSIS analysis indicates that Singapore, South Korea, and Taiwan have similarities in their desired levels of HRST performance. That is, these three countries have better HRST performances than other Southeast Asian countries.

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.

Measuring the Performance of E-Commerce Logistics System Based on Fuzzy-AHP

2014 ◽  
Vol 505-506 ◽  
pp. 898-901 ◽  
Author(s):  
Hong Wei Wang ◽  
Yu Song Yan ◽  
Hua Wei Duan
Keyword(s):  
Analytic Hierarchy Process ◽  
Performance Measurement ◽  
Fuzzy Ahp ◽  
Business Leaders ◽  
Analytic Hierarchy ◽  
Logistics System ◽  
The Past ◽  
Operational Level ◽  
Challenges And Opportunities ◽  
Hierarchy Process

In the past few years, e-commerce is viewed as creating challenges and opportunities for business leaders and inter-disciplinary researchers. While most firms realize that it is necessary to assess performance of logistics system, the performance measurement of E-commerce logistics system still remains unexplored. This essay starts by discussing the measures and metrics of E-commerce logistics system from the strategic, tactical and operational level. Then, a methodology based on the extent fuzzy analytic hierarchy process (AHP) is proposed to prioritize performance measurement indicators in E-commerce logistics system. The application of this methodology helps us to understand the performance of E-commerce logistics system and the results are useful both to practitioners in E-commerce firms and to researchers carrying out further studies in the field.

FUZZY AHP APPROACH TO THE COMPETENCE OF ENGINEERING MANPOWER OUTSOURCING

2012 ◽  
Vol 20 (04) ◽  
pp. 437-458 ◽  
Author(s):  
WEN-HSIANG LAI
Keyword(s):  
Fuzzy Ahp ◽  
Business Management ◽  
Capital Intensity ◽  
Analytic Hierarchy ◽  
Inference System ◽  
The Past ◽  
The Cost ◽  
Outsourcing Strategies ◽  
Logic Inference ◽  
Hierarchy Process

Outsourcing strategies reveal trends in strategic business administration. Over the past 80 years, outsourcing has become one of the most important concepts in business management and operation. In Taiwan, optoelectronics, semiconductors, and information technology (IT) are the major industries engaging in engineering manpower outsourcing (EMO) due to their capital intensity and their requirements for a large quantity of high-quality engineers. This study analyzes the EMO competence of Taiwan's enterprises using expert interviews, analytic hierarchy process (AHP) analysis, and a fuzzy logic inference system (FLIS). This study shows that EMO competence can be divided into three influential variables: cost, resources, and strategy. The results of this research indicate that the cost variable has the greatest influence on EMO. The results of fuzzy analysis demonstrate that if enterprises intend to improve their EMO, they must consider the combination of the direct cost and talents sub-variables within the resource variable to be more important than the various sub-variable combinations of cost and strategy. Moreover, empirical results also show that the internal operation (IO) sub-variable has a significant impact on the strategy variable and that the internal training (IT) and external alliance (EA) sub-variables have little influence on the strategy variable with respect to EMO.

scholarly journals Talent demand and urban development in city A

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Ouya Hao ◽  
Ningzhou Li ◽  
Xianhong Wang
Keyword(s):  
Neural Network ◽  
Urban Development ◽  
Analytic Hierarchy Process ◽  
Bp Neural Network ◽  
Analytic Hierarchy ◽  
The People ◽  
Hierarchy Process ◽  
The City

The introduction of talent programs is one of the key programs in many cities in recent years. In order to “encourage and enrich the people and innovate the city”, cities such as Beijing, Shanghai, Wuhan, Chengdu, Xi’an and Shenzhen are using various attractive policies to compete for talents. Based on this, this paper uses BP neural network and analytic hierarchy process to model and analyze the talent demand of A-City and the development of the city. 

scholarly journals Analytic Hierarchy Process (AHP) dan Fuzzy TOPSIS pada Pemilihan Himpunan Pairing Terpilih dari Jadwal Penerbangan

2020 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Dinita Rahmalia ◽  
Awawin Mustana Rohmah ◽  
Nuril Lutvi Azizah
Keyword(s):  
Analytic Hierarchy Process ◽  
Greedy Algorithm ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Ideal Solution ◽  
Fuel Cost ◽  
Analytic Hierarchy ◽  
Simulation Results ◽  
Hierarchy Process

In the flight industry, there are two highest costs such as fuel cost and crew cost. The crew cost is affected by pairings selected from flight schedule. This research will explain about selecting the set of selected pairings using Analytic Hierarchy Process (AHP) and Fuzzy Technique for Order Performance by Similarity to Ideal Solution (Fuzzy TOPSIS). Before using either Fuzzy AHP or Fuzzy TOPSIS, it will be formed collection of the set of selected pairings using greedy algorithm. After collection of the set of selected pairings is formed, then we determine goal and criteria. The goal is selecting the set of selected pairings from some alternatives. For each the set of selected pairings, there are some criterions such as the number of deadhead, the number of pairing A2, the number of pairing A3, the number of pairing A4, the number of pairing A5, and the number of pairing A6. Based on simulation results, both AHP and Fuzzy TOPSIS can select and give the rank of priority in entire the set of selected pairings.  Pada industri maskapai penerbangan, terdapat dua biaya yang sangat besar yaitu biaya bahan bakar dan biaya kru. Biaya kru dipengaruhi oleh pairing yang terpilih dari jadwal penerbangan. Pada penelitian ini akan dilakukan pemilihan himpunan pairing terpilih menggunakan metode Analytic Hierarchy Process (AHP) dan Fuzzy Technique for Order Performance by Similarity to Ideal Solution (Fuzzy TOPSIS). Sebelum menggunakan AHP atau Fuzzy TOPSIS, akan dibentuk kumpulan dari himpunan pairing terpilih menggunakan greedy algorithm. Setelah kumpulan himpunan pairing terpilih terbentuk, maka dibentuk goal dan kriteria. Goal adalah memilih himpunan pairing terpilih dari beberapa alternative. Pada setiap himpunan pairing yang terpilih, terdapat beberapa kriteria seperti jumlah deadhead, jumlah pairing A2, jumlah pairing A3, jumlah pairing A4, jumlah pairing A5, dan jumlah pairing A6. Berdasarkan hasil perhitungan, metode AHP dan Fuzzy TOPSIS dapat memilih dan memberi peringkat prioritas pada pemilihan himpunan pairing terpilih.

Application of fuzzy AHP – TOPSIS for ranking additive manufacturing processes for microfabrication

2018 ◽  
Vol 24 (2) ◽  
pp. 424-435 ◽  
Author(s):  
Anand M.B. ◽  
Vinodh S.
Keyword(s):  
Additive Manufacturing ◽  
3D Printing ◽  
Fuzzy Ahp ◽  
Selective Laser Sintering ◽  
Fuzzy Topsis ◽  
Technology Selection ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Criteria Weights ◽  
Am Processes

Purpose The purpose of this study is to rank additive manufacturing (AM) processes for microfabrication using integrated fuzzy analytic hierarchy process (AHP)-technique for order of preference by similarity to ideal solution (TOPSIS). Design/methodology/approach AM technology selection is formulated as multi-criteria decision-making (MCDM) problem and ranking is obtained using fuzzy AHP-TOPSIS. Five candidate processes considered are laser-induced forward transfer (LIFT), microstereolithography, micro-selective laser sintering (micro-SLS), inkjet, micro 3D printing. Findings Criteria weights are obtained using fuzzy AHP, and ranking is obtained using fuzzy TOPSIS. The top ranked criteria include material compatibility, geometrical complexity and minimum feature size. The ranking sequence is LIFT > microstereolithography > micro-SLS > inkjet > micro-3D printing. Research limitations/implications In the present study, ten criteria and five alternatives are used. In future, additional criteria and alternatives could be considered in line with technological advancements. Practical implications The generated ranking enabled the selection of appropriate AM process for microfabrication. Originality/value The application of hybrid MCDM approach for ranking AM processes for microfabrication is the contribution of the study.

On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria

2016 ◽  
Vol 2 (3) ◽  
pp. 54
Author(s):  
G. Marimuthu ◽  
G. Ramesh
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Decision Models ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Comparison Model ◽  
Hierarchy Process

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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