A decision framework of offshore wind power station site selection using a PROMETHEE method under intuitionistic fuzzy environment: A case in China

Wu, Yunna; Tao, Yao; Zhang, Buyuan; Wang, Shiman; Xu, Chuanbo; Zhou, Jianli

doi:10.1016/j.ocecoaman.2019.105016

Cited by 112 publications

(58 citation statements)

References 56 publications

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“…It has no any restriction on sample size and index quantity. As TODIM has the ability to reflect DMs' behavioral characteristics, it is widely used in uncertain environment [21]. By comparisons, AHP and TOPSIS are adopted to make assessments of HTZs.…”

Section: The Research Topicmentioning

confidence: 99%

Combine MCDM Methods and PSO to Evaluate Economic Benefits of High-Tech Zones in China

Tongzhao

2020

Sustainability

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High-tech zones (HTZs), as important economic growth poles, have played a key role in China’s economic boom. A method based on multi-criteria decision-making (MCDM) and particle swarm optimization (PSO) is proposed to evaluate economic benefits of HTZs. MCDM involves analytic hierarchy process (AHP) and technique for order preference by similarity to an ideal solution (TOPSIS) as they are easy and simple to calculate. AHP is used to construct judgment matrix. Then, the judgment matrix is converted to a constraint optimization problem. PSO is adopted to optimize the problem and get weights of indicators. TOPSIS is used to make the evaluation. The results from 2012 to 2016 of 105 HTZs are obtained and hierarchical clustering analysis is applied to cluster results. The results have demonstrated that the rankings of Zhongguancun Technology Park and Wuhan East Lake HTZ have always been at the forefront, and the ranking of Kunshan New District has risen rapidly, while Shenyang HTZ has dropped significantly. According to the results, some targeted suggestions have been proposed for the development of HTZs.

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Section: The Research Topicmentioning

confidence: 99%

Combine MCDM Methods and PSO to Evaluate Economic Benefits of High-Tech Zones in China

Tongzhao

2020

Sustainability

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“…All these studies confirmed the feasibility and success of multicriteria analysis in sustainabil-ity evaluation. Among the many multicriteria methods, Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) is becoming increasingly popular due to its simplicity and ease of understanding [57]. The PROMETHEE method belongs to the family of outranking methods.…”

Section: Promethee Methodsmentioning

confidence: 99%

Social, Economic and Environmental Sustainability of Port Regions: MCDM Approach in Composite Index Creation

Stanković

Marjanović

Papathanasiou

et al. 2021

JMSE

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Maritime transport and ports are among the most important linkages between global economies, handling more than 90% of internationally traded goods. Economic importance of maritime transport imposes significant implications on the social and environmental performance of port regions. The paper aims to create composite indices as relevant, scientific-based tools used in comparing and monitoring various aspects of sustainability across 37 sea port regions in seven countries on the European side of the Mediterranean, covering a five-year period from 2014 to 2018. The model encompasses Eurostat and OECD annual NUTS2 level data covering economic, social and environmental dimensions of sustainability. Two important indicators of maritime transport activity, maritime transport of freight and maritime transport of passengers, are included within the group of economic indicators. To create composite indices, the multicriteria decision making (MCDM) framework was used as an integrated approach of entropy in the weighting segment, and the Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE) as an aggregation method. The results highlight GDP per capita and population density as indicators of the greatest relative importance when it comes to port regions sustainability. The ranking results indicate that, despite the fact that Attica is the best ranked region in terms of overall sustainability, the largest number of top rated port regions are in Italy, Spain and France.

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“…Third, resources and environment. First of all, considering the development cost, operation revenue forecast, wake effect, and other factors, the selection of offshore wind farm sites is a very complex problem (Wu et al 2019 ; Cranmer et al 2017 ). Tercan et al ( 2020 ) provided a solution to the problem of offshore wind power location.…”

Section: Literature Reviewmentioning

confidence: 99%

The influencing factors and hierarchical relationships of offshore wind power industry in China

Yang

Zhao

2021

Environ Sci Pollut Res

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As a new and cost-effective renewable energy power generation technology, offshore wind power is getting more and more attention. The development of offshore wind power industry is affected by policy-making, technology management, resources and environment, market supply and demand, and the relationship among the influencing factors is complex. This paper analyzes the factors that affect offshore wind power industry from a unique and comprehensive perspective. Fourteen factors are selected and interpretative structural model (ISM) is established to study the relationship between the influencing factors of offshore wind power industry. The results show that 14 influencing factors can be divided into five levels: the first level is the surface factors, including the economic incentive policy, operation mechanism, industrial chain, energy market mechanism, investment, and financing mechanism; the second and third levels are the intermediate factors, including generation cost, operation management, and offshore wind power technology; the fourth and fifth levels are deep-seated factors, including development planning and grid price, site selection, R&D investment, environmental protection policy, and offshore wind power supply. Deep-seated factors have a direct impact on the intermediate factors, the intermediate factors have an important impact on the surface factors, and the surface factors directly affect the development of offshore wind power industry. The influence of the 14 factors selected in this paper on offshore wind power industry is from bottom to top, from deep to shallow.

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A decision framework of offshore wind power station site selection using a PROMETHEE method under intuitionistic fuzzy environment: A case in China

Cited by 112 publications

References 56 publications

Combine MCDM Methods and PSO to Evaluate Economic Benefits of High-Tech Zones in China

Combine MCDM Methods and PSO to Evaluate Economic Benefits of High-Tech Zones in China

Social, Economic and Environmental Sustainability of Port Regions: MCDM Approach in Composite Index Creation

The influencing factors and hierarchical relationships of offshore wind power industry in China

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