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

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

doi:10.2991/ijcis.2011.4.4.15

Cited by 10 publications

(11 citation statements)

References 15 publications

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“…Kurt contrasted the two MCDM methods that generalized Choquet fuzzy integral approach and fuzzy Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) were used to sort the alternative sites of NPPs, respectively. Ekmekçioğlu et al combined SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis with MCDM methods, considering both internal and external influence factors. Erol et al ranked the alternative NPP sites based on fuzzy Entropy and compromise programming.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Seismic activity is an essential factor affecting the safety of INPPs . Areas with minimal likelihood of deformation and defects on the ground are preferred, which can be evaluated by seismic fortification intensity and seismic acceleration.…”

Section: Analysis On the Decision Factors Of The Inland Nuclear Powermentioning

confidence: 99%

“…Sufficient water resources must be provided for the cooling systems of the nuclear power plant during the operation period and shutdown under normal condition . Distance from water resources will impact on the accessibility and cost of water.…”

Section: Analysis On the Decision Factors Of The Inland Nuclear Powermentioning

confidence: 99%

See 2 more Smart Citations

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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Section: Literature Reviewmentioning

confidence: 99%

Section: Analysis On the Decision Factors Of The Inland Nuclear Powermentioning

confidence: 99%

See 1 more Smart Citation

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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“…Algorithm. Many algorithms can be used to sort the best plan such as cosine function, linear assignment, fuzzy logic, and matter-element algorithm [14][15][16]. This paper uses matter-element analysis to calculate the value of decision-making of each plan.…”

Section: Matter-element Evaluationmentioning

confidence: 99%

Study on Evacuation Evaluation in Subway Fire Based on Pedestrian Simulation Technology

Chen

Cai

et al. 2015

Mathematical Problems in Engineering

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In order to improve the ability to evacuate from subway fire in subway’s planning, design, operation, and maintenance stages, a simulation model of pedestrians’ evacuation process in subway fire was established based on Legion and FDS software. It can truly reflect the dynamic effects of the fire environment on subway station evacuation. Then dynamic evaluation indicators systems were established from the point of survival index, security risk index, effectiveness index, and orderliness index. In order to help decision makers to identify the most appropriate plan, matter-element analysis (MEA) was used to rate different plans. At last a case study of Songjiazhuang (SJZ) station was provided to test the effectiveness and practicability of the evaluation method.

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“…Many algorithms can be used to sort the best scenario, such as cosine function, linear assignment, matterelement analysis [15] and fuzzy logic [16][17]. This paper used matter-element analysis to calculate the value of decision-making of four scenarios based on the dynamic evaluation indicators.…”

Section: Calculation For Best Scenariomentioning

confidence: 99%

Study on Evaluation Indicators System of Crowd Management for Transfer Stations Based on Pedestrian Simulation

Zhang¹,

Chen²,

Li³

et al. 2011

IJCIS

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Improving safety and convenience of transfer is one of the most vital tasks in subway system planning, design and operation management. Because of complicated space layout and crowded pedestrian, crowd control is a big challenge for management of transfer stations. Thus, a quantitative evaluation should be done before improvement measures are carried out. Literature review showed that present evaluation indicators about crowd management in subway system were all based on fixed value or experience. Dynamic effect caused by pedestrian congestion and various facility combination cannot be represented based on these indicators. Thus, in this paper, based on the pedestrian simulation tool, dynamic evaluation indicators system of crowd management was established from the point of safety, cost-effectiveness and comfort. In order to aid decision makers to identify the most appropriate scenario to improve the effectiveness of crowd management, Matter-Element Analysis (MEA) was used to rate different scenarios. A pedestrian simulation model of a designing intermodal transfer station was built and four different scenarios were tested to demonstrate how to use this indicators system. Simulation results were evaluated based on the dynamic indicators system and MEA. The application results show that the dynamic evaluation indicators system is operational and can reflect level of the crowd management in transfer station comprehensively and precisely.

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

Cited by 10 publications

References 15 publications

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

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

Study on Evacuation Evaluation in Subway Fire Based on Pedestrian Simulation Technology

Study on Evaluation Indicators System of Crowd Management for Transfer Stations Based on Pedestrian Simulation

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