A Fuzzy Multi-Criteria SWOT Analysis: An Application to Nuclear Power Plant Site Selection

Ekmekçioğlu, Mehmet; Kutlu, Ahmet Can; Kahraman, Cengiz

doi:10.1080/18756891.2011.9727814

Cited by 35 publications

(26 citation statements)

References 40 publications

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“…As a result, the charging station should be located an area away from the heavy load lines to ensure the secure operation of the distribution network. (3) Availability of resources (C23) [54,70,71,73,75,77,78,80]: A site which has good availability of construction water and power should be given priority for the purpose of allowing a fast construction schedule.…”

Section: Engineering Feasibilitymentioning

confidence: 99%

“…(1) Convenience of transportation (C31) [34,50,54,[71][72][73][76][77][78][80][81][82][83]: The parameter which contains the condition of main road, the number of lanes and the number of intersections near the charging station, is critical to the realization of high profit and convenience. (2) Service capability (C32) [71,73,76,81]: It is defined as the daily service volume as well as the maximum number of EV that could get access to the charging service provided by the charging station.…”

Section: Service Availabilitymentioning

confidence: 99%

“…(2) Service capability (C32) [71,73,76,81]: It is defined as the daily service volume as well as the maximum number of EV that could get access to the charging service provided by the charging station. (3) Service radius (C33) [34,50,71,76,80]: On the one hand, it is inappropriate to keep away from the adjacent charging stations for the sake of running capacity of the EV and daily needs of the users. On the other hand, the short distance from the adjacent charging stations is also inapposite for giving rise to the waste of resources.…”

Section: Service Availabilitymentioning

confidence: 99%

“…This is a necessary requirement for the reason that expansion of the charging station is an inevitable trend for the sake of economic development and environmental protection. (2) Attitude of local residents (C42) [17,50,53,54,72,75,80]: It is unavoidable to have negative effects of noise and electromagnetic field due to the construction and operation of the charging station on the residents near the station, so it is preferable to take the attitude of local residents into account.…”

Section: Social Factorsmentioning

confidence: 99%

“…(1) Ecological environment influence (C51) [17,50,53,54,73,[75][76][77][78]80,84]. The construction and operation procedures would have many adverse effects on the local vegetation and water, so it is preferable to minimize the extent of the damage.…”

Section: Environmental Factorsmentioning

confidence: 99%

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Optimal Site Selection of Electric Vehicle Charging Stations Based on a Cloud Model and the PROMETHEE Method

et al. 2016

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Abstract:The task of site selection for electric vehicle charging stations (EVCS) is hugely important from the perspective of harmonious and sustainable development. However, flaws and inadequacies in the currently used multi-criteria decision making methods could result in inaccurate and irrational decision results. First of all, the uncertainty of the information cannot be described integrally in the evaluation of the EVCS site selection. Secondly, rigorous consideration of the mutual influence between the various criteria is lacking, which is mainly evidenced in two aspects: one is ignoring the correlation, and the other is the unconscionable measurements. Last but not least, the ranking method adopted in previous studies is not very appropriate for evaluating the EVCS site selection problem. As a result of the above analysis, a Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) method-based decision system combined with the cloud model is proposed in this paper for EVCS site selection. Firstly, the use of the PROMETHEE method can bolster the confidence and visibility for decision makers. Secondly, the cloud model is recommended to describe the fuzziness and randomness of linguistic terms integrally and accurately. Finally, the Analytical Network Process (ANP) method is adopted to measure the correlation of the indicators with a greatly simplified calculation of the parameters and the steps required.

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Section: Engineering Feasibilitymentioning

confidence: 99%

Section: Service Availabilitymentioning

confidence: 99%

Section: Service Availabilitymentioning

confidence: 99%

Section: Social Factorsmentioning

confidence: 99%

Section: Environmental Factorsmentioning

confidence: 99%

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Optimal Site Selection of Electric Vehicle Charging Stations Based on a Cloud Model and the PROMETHEE Method

et al. 2016

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A two‐stage decision framework for inland nuclear power plant site selection based on GIS and type‐2 fuzzy PROMETHEE II: Case study in China

Liu

Huang

et al. 2020

Energy Science & Engineering

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Site selection is a critical strategic decision for inland nuclear power plants which have broad prospects of development. However, several shortcomings exist in current researches, such as the incomplete decision frameworks, the indiscriminately treated properties, and the information loss. To handle the above flaws, this study establishes a two‐stage site selection framework. In the first stage, the geographic information system and preselection criteria are applied to identify suitable alternative sites. And in the second stage, the interval type‐2 fuzzy PROMETHEE II and suitability criteria are utilized to rank alternatives and select the optimal site, where different preference functions are selected accordingly. Thereinto, the interval type‐2 fuzzy numbers are adopted to describe the uncertainty and vagueness in calculation, without being transformed to exact value. Finally, based on the proposed two‐stage decision framework, a case of Hunan, Hubei, and Jiangxi provinces is studied, to demonstrate its validity and practicability. The results show that S8 is selected as the optimal site for its strong government support, convenient fuel transport, and land availability. This study not only enriches the material databases for inland nuclear power plant site selection, but also offers theoretical reference for site selection studies of various objects.

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Optimized Environment Designing of Nanjing South Railway Station Based on Pedestrian Simulation

Cao

Duan

Zhang

2016

Cross-Cultural Design

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A Fuzzy Multi-Criteria SWOT Analysis: An Application to Nuclear Power Plant Site Selection

Cited by 35 publications

References 40 publications

Optimal Site Selection of Electric Vehicle Charging Stations Based on a Cloud Model and the PROMETHEE Method

Optimal Site Selection of Electric Vehicle Charging Stations Based on a Cloud Model and the PROMETHEE Method

A two‐stage decision framework for inland nuclear power plant site selection based on GIS and type‐2 fuzzy PROMETHEE II: Case study in China

Optimized Environment Designing of Nanjing South Railway Station Based on Pedestrian Simulation

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