Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP

Heo, Eunnyeong; Kim, Jinsoo; Boo, Kyung Jin

doi:10.1016/j.rser.2010.01.020

Cited by 236 publications

(85 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Fuzzy AHP is frequently used to capture expert knowledge of a preference numerically, and applied to solving hierarchical and complex decisionmaking problems 85 . Fuzzy AHP uses a membership function to calculate a grade of membership that a given variable belongs to, and triangular and trapezoidal functions are usually used in fuzzy logic because they are simple to use but also accurate [86][87][88][89][90] . The PROMETHEE method is one of the most recent MCDA techniques, firstly developed by Brans 91 .…”

Section: Multi-criteria Decision Making Methodsmentioning

confidence: 99%

Measuring energy security performance within China: Toward an inter-provincial prospective

Zhang

Sovacool

et al. 2017

Energy

106

View full text Add to dashboard Cite

ABSTRACT:China has been the world's largest energy consumer and producer for many years, yet while myriad studies have investigated Chinese performance on energy metrics compared to other countries, few to none have looked internally at Chinese provinces. This paper firstly develops a five-dimensional evaluation system centered on the energy security dimensions of availability and diversity, affordability and equality, technology and efficiency, environmental sustainability, and governance and innovation. It then correlates these dimensions to 20 distinct energy security metrics that are used to assess the energy security performance of 30 Chinese provinces, divided into eight regions. Our results reveal both trends in energy policy and practice as well as provincial status of comparative energy security for the year 2013. We find, for instance, that there is no province which performs well in all five of the energy security dimensions, and that all provinces confronted threats related to energy availability and diversity. We also demonstrate that in comparative terms, the Middle Reaches of Yellow River and the Northwest were the most energysecure, while the Middle Reaches of Yangtze River and the Northeast were least energy-secure.

show abstract

Section: Multi-criteria Decision Making Methodsmentioning

confidence: 99%

Measuring energy security performance within China: Toward an inter-provincial prospective

Zhang

Sovacool

et al. 2017

Energy

106

View full text Add to dashboard Cite

show abstract

“…However, in the real world, it is very difficult to extract precise data pertaining to measurement factors since all human preferences are prone to a degree of uncertainty (Zavadskas et al 2014). Decision-makers (DM) are also inclined to favour natural language expressions over exact numbers when assessing criteria and alternatives (Heo et al 2010;Hsueh et al 2013;. For this reason, FAHP methods, which effectively resemble human thoughts and perceptions, were systematically proposed by various authors.…”

Section: Fuzzy Ahpmentioning

confidence: 99%

Combination of Fuzzy-Ahp and Dematel-Anp With Gis in a New Hybrid McDm Model Used for the Selection of the Best Space for Leisure in a Blighted Urban Site

Ahmad

Hosseini

Banaitis

et al. 2015

Technological and Economic Development of Economy

View full text Add to dashboard Cite

Abstract. Urban blight issues have transformed over time. Today, the focus is on the social context and such services as recreation and leisure. Considering that the insufficiency of leisure spaces in blighted urban neighbourhoods gives rise to social and cultural problems in Tehran, this research aims to identify the best leisure space in a blighted urban site. The selection process uses the combination of a new hybrid MCDM model and GIS. The integration of GIS and MCDM makes a powerful tool for the selection of the best leisure space in a site because GIS provides efficient manipulation, analysis and presentation of spatial data while MCDM supplies consistent weight of sub-criteria and criteria. The results show the interrelations between dimensions and criteria, also influential priorities and the most important sequences of those. Afterward, this study employs DANP to obtain the weight of each criterion and select a site for leisure using GIS, based on INRM from the DEMATEL method.Keywords: leisure space, urban blight, hybrid multiple criteria decision making (HMCDM), influential network relation map (INRM), geographic information system (GIS).JEL Classification: C02, C44, C61, C88, O18, O21, O35, R14.

show abstract

“…Aragonés-Beltrán et al (2010) used the ANP approach to select photovoltaic (PV) solar power projects for a Spanish company by minimizing the risk; thus, the best PV project was selected. Heo et al (2010) studied the objective of new and renewable energy resources that would increase in Korea until 2030. The assessments of such decisions were made by using fuzzy AHP.…”

Section: Literature Reviewmentioning

confidence: 99%

A Fuzzy Multi-Criteria Decision Making Methodology Based Upon the Interval Type-2 Fuzzy Sets for Evaluating Renewable Energy Alternatives in Turkey

Balın

Baraçlı

2015

Technological and Economic Development of Economy

View full text Add to dashboard Cite

Abstract.Energy is substantial for social development and has an essential role for the survival and development of human as an environmental factor. Due to the serious increase ofthe world's primary energy price and rapid development of Turkey's economy, energy consumption of Turkey has become a major problem. For that purpose, opinions of the decision makers upon the relative importance of selection criteria are determined by using a fuzzy AHP procedure based upon type-2 fuzzy sets, and fuzzy multi-criteria decision-making based upon the interval type-2 TOPSIS method is used to rank the best renewable alternative energy. In this paper, a fuzzy multi criteria decision making (MCDM) methodology was proposed to determine the best renewable energy alternatives for Turkey, because type-2 fuzzy sets provide additional degrees of independence to represent the uncertainty and the fuzziness of real world applications. The results showed that wind was the best alternative for Turkey's energy investments, as being followed subsequently by solar, biomass, geothermal, hydraulic and hydrogen. The results were based upon the opinions of three energy planning experts who ranked the energy alternatives according to the ten criteria we have selected.

show abstract

Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP

Cited by 236 publications

References 43 publications

Measuring energy security performance within China: Toward an inter-provincial prospective

Measuring energy security performance within China: Toward an inter-provincial prospective

Combination of Fuzzy-Ahp and Dematel-Anp With Gis in a New Hybrid McDm Model Used for the Selection of the Best Space for Leisure in a Blighted Urban Site

A Fuzzy Multi-Criteria Decision Making Methodology Based Upon the Interval Type-2 Fuzzy Sets for Evaluating Renewable Energy Alternatives in Turkey

Contact Info

Product

Resources

About