A new extension of hesitant fuzzy set: An application to an offshore wind turbine technology selection process
description: Wind energy is an energy source that is naturally clean, safe and cheap. It comes from a variety of sources. The electric energy generated by a wind turbine manifests as kinetic energy throughout the earth. The energy received from the wind is clean and is permanently available and can be generated forever. Turbine characteristics also have an impact on wind energy production. The turbine properties within a wind farm are important in estimating the load on power generation and wind turbine energy. The amount of energy released is calculated according to the type of the turbine model applied. In many situations, the choices of turbine model can incur various vague and complicated hesitation situations. To manage this situation, a hesitant fuzzy set with the Multi Criteria Decision Making (MCDM) is used. In the present research, the newly proposed Normal Wiggly Hesitant Fuzzy-Criteria Importance Through Intercriteria Correlation (NWHF-CRITIC) and Normal Wiggly Hesitant Fuzzy-Multi Attribute Utility Theory (NWHF-MAUT) methods were employed to rank turbine models based on quality, power level, voltage, and capacity. As part of this process, the NWHF method was utilized to extract and gather deeper information from the decision-makers. 2021 The Authors. IET Renewable Power Generation published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.
creator: Narayanamoorthy S.; Ramya L.; Kang D.; Baleanu D.; Kureethara J.V.; Annapoorani V.
source: IET Renewable Power Generation, Vol-15, No. 11, pp. 2340-2355.
publisher: John Wiley and Sons Inc
date: 2021-01-01
rights: Restricted Access
relation: ISSN: 17521416
format: Online
language: English
type: Article
coverage: Narayanamoorthy S., Department of Mathematics, Bharathiar University, Coimbatore, India; Ramya L., Department of Mathematics, Bharathiar University, Coimbatore, India; Kang D., Department of Industrial and Management Engineering, Institute of Digital Anti-aging Health Care, Inje University, Gimhae-si, Gyeongsangnam-do, South Korea; Baleanu D., Department of Mathematics, Cankaya University, Balgat, Ankara, Turkey, Institute of Space Sciences, Magurele-Bucharest, Romania; Kureethara J.V., CHRIST (Deemed to be University), Bangalore, India; Annapoorani V., Department of Mathematics, Bharathiar University, Coimbatore, India