Please use this identifier to cite or link to this item: http://repository.vnu.edu.vn/handle/VNU_123/33770
Title: Selecting renewable energy technology via a fuzzy MCDM approach
Authors: Dat, Quoc Luu
Shuo-Yan, CHOU
Nguyen, Truc Le
Evina, WIGUNA
Tiffany Hui, Kuang YU
Phan Nguyen, Ky PHUC
Keywords: Fuzzy MCDM;Ranking method;Renewable energy technology
Issue Date: 2014
Abstract: Renewable energy technology selection, which has a strategic importance for many countries and companies, is one of the most challenging decisions due to the complex features and large number of alternatives. Of all renewable energy sources, solar photovoltaic (PV) energy has attracted more attention as the greatest promising option for industrial application. This paper proposes an extension of fuzzy multi-criteria decision making (MCDM) approach for selecting solar PV energy technologies. In the proposed approach, several PV technologies are used as the alternatives. The ratings of alternatives - PV technologies under various criteria and the weights of criteria are assessed in linguistic terms represented by fuzzy numbers. These values are further averaged and normalized into a comparable scale. Then, the normalized weighted rating can be derived by interval arithmetic of fuzzy numbers. To avoid complicated aggregation of fuzzy numbers, these normalized weighted ratings are defuzzified into crisp values using the left and right indices ranking approach. Finally, this study applies the proposed fuzzy MCDM approach to solve a PV technologies selection problem, demonstrating its applicability and computational process
Description: Moving Integrated Product Development to Service Clouds in the Global Economy, 2014, Pages 796-805
Moving Integrated Product Development to Service Clouds in the Global Economy
URI: http://ebooks.iospress.nl/publication/37931
http://repository.vnu.edu.vn/handle/VNU_123/33770
ISBN: 978-161499439-8
Appears in Collections:Bài báo của ĐHQGHN trong Scopus

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